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Background:
Systematic Review

Lower Rates of Hypocalcemia Following Near-Infrared Autofluorescence Use in Thyroidectomy: A Meta-Analysis of RCTs

by
Karthik N. Rao
1,2,*,†,
Renu Rajguru
3,†,
Prajwal Dange
1,†,
Diana Vetter
4,†,
Frederic Triponez
5,†,
Iain J. Nixon
6,†,
Gregory W. Randolph
7,8,†,
Antti A. Mäkitie
9,†,
Mark Zafereo
10,† and
Alfio Ferlito
11,†
1
Department of Head and Neck Oncology, All India Institute of Medical Sciences, Raipur 492099, India
2
Sri Shankara Cancer Hospital and Research Center, Bangalore 560004, India
3
Department of Otorhinolaryngology and Head Neck Surgery, All India Institute of Medical Sciences, Raipur 492099, India
4
Department of Visceral and Transplant Surgery, University Hospital Zurich, 8032 Zurich, Switzerland
5
Department of Thoracic and Endocrine Surgery, University Hospitals of Geneva, 1205 Geneva, Switzerland
6
Department of Surgery and Otolaryngology, Head and Neck Surgery, Edinburgh University, Edinburgh EH3 9YL, UK
7
Division of Thyroid and Parathyroid Endocrine Surgery, Department of Otolaryngology-Head and Neck Surgery, Massachusetts Eye and Ear Infirmary, Harvard Medical School, Boston, MA 02114, USA
8
Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
9
Department of Otorhinolaryngology, Head and Neck Surgery, Research Program in Systems Oncology, Faculty of Medicine, University of Helsinki, Helsinki University Hospital, 00014 Helsinki, Finland
10
Department of Head & Neck Surgery, MD Anderson Cancer Center, Houston, TX 77005, USA
11
Coordinator of the International Head and Neck Scientific Group, 35100 Padua, Italy
 
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Author to whom correspondence should be addressed.
†
This paper was written by members and invitees of the International Head and Neck Scientific Group (www.IHNSG.com).
Diagnostics 2024, 14(5), 505; https://doi.org/10.3390/diagnostics14050505
Submission received: 20 December 2023 / Revised: 18 January 2024 / Accepted: 22 February 2024 / Published: 27 February 2024
(This article belongs to the Section Clinical Laboratory Medicine)
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Abstract

:
Background: Iatrogenic injury of the parathyroid glands is the most frequent complication after total thyroidectomy. Objective: To determine the effectiveness of near-infrared autofluorescence (NIRAF) in reducing postoperative hypocalcemia following total thyroidectomy. Methods: PubMed, Scopus, and Google Scholar databases were searched. Randomised trials reporting at least one hypocalcemia outcome following total thyroidectomy using NIRAF were included. Results: The qualitative data synthesis comprised 1363 patients from nine randomised studies, NIRAF arm = 636 cases and non-NIRAF arm = 637 cases. There was a statistically significant difference in the overall rate of hypocalcemia log(OR) = −0.7 [(−1.01, −0.40), M-H, REM, CI = 95%] and temporary hypocalcemia log(OR) = −0.8 [(−1.01, −0.59), M-H, REM, CI = 95%] favouring the NIRAF. The difference in the rate of permanent hypocalcemia log(OR) = −1.09 [(−2.34, 0.17), M-H, REM, CI = 95%] between the two arms was lower in the NIRAF arm but was not statistically significant. Conclusions: NIRAF during total thyroidectomy helps in reducing postoperative hypocalcemia. Level of evidence—1.

1. Introduction

Iatrogenic injury of the parathyroid glands is the most frequent complication after total thyroidectomy and can result in hypoparathyroidism [1]. The reported incidence of hypocalcemia following total thyroidectomy exhibits a wide range. Temporary hypoparathyroidism is estimated to occur in 19–38% of cases, while permanent hypoparathyroidism occurs in 0–3% after total thyroidectomy [2]. Damage to the parathyroid glands can result in hypoparathyroidism, leading to hypocalcemia and long-term metabolic problems [3]. Hypocalcemia can increase morbidity, including cardiac arrhythmias and tetany, resulting in prolonged hospitalisation and potential mortality. Intraoperative guidance to identify and assess the parathyroid glands during thyroid surgery may help prevent surgical damage and improve postoperative outcomes and quality of life. Traditional methods to reduce the risk of surgical hypoparathyroidism have primarily relied on the ability of the surgeon to identify and carefully preserve the parathyroids and their vascular pedicles. However, intraoperative identification of the parathyroid glands can be difficult because of their variable position, their relatively small size, and their similarity to thyroid tissue, lymph nodes, or brown fat [4].
Intraoperative near-infrared autofluorescence (NIRAF) has emerged as a technique for identifying the parathyroid glands, with several studies demonstrating its effectiveness [5]. When the parathyroid glands are exposed to near-infrared excitation light at a wavelength of 785 nm [6], their intrinsic fluorophore, which is as of yet still unidentified, emits light in the near-infrared spectrum (700–900 nm) [7]. This emitted light can be detected by camera-based and probe-based systems providing real-time imaging for surgical guidance. Recent years have seen multiple randomised controlled trials investigating the use of NIRAF during total thyroidectomy to assess its potential in reducing the incidence of postoperative hypocalcemia and facilitating parathyroid gland identification and evaluation [8,9].
The European Society of Endocrinology clinical guideline defines hypoparathyroidism as having hypocalcemia (ionic Ca2+ < 4.61 mg/dL), abnormally low parathormone (PTH) levels, or requirement for ongoing active vitamin D therapy [10]. It is considered permanent if a condition persists for six months or more or necessitates continual calcium and active vitamin D therapy.
Our study represents the first meta-analysis including randomised controlled trials solely on the use of NIRAF during thyroidectomy to reduce hypocalcemia, aiming to determine the effectiveness of NIRAF in reducing postoperative hypocalcemia following total thyroidectomy.

2. Methodology

2.1. Reporting and Registration

This manuscript has strictly adhered to the PRISMA (preferred reporting items for systematic reviews and meta-analyses) [11] and AMSTAR (assessing the methodological quality of systematic reviews) guidelines [12]. The meta-analysis underwent a thorough evaluation by AMSTAR and was determined to be of high quality. This meta-analysis was prospectively registered in the international prospective register of systematic reviews (PROSPERO) CRD42023434610 [13]. An ethical declaration is not relevant as this investigation relies solely on published literature.

2.2. Search Strategy

We incorporated PubMed, Scopus, and Google Scholar repositories to ensure thorough inclusion of published literature. All published literature in English between 2010 to 2023 was considered.

2.3. Search Query Structure

“Parathyroid glands”, “Total thyroidectomy”, “Autofluorescence”, “Hypoparathyroidism”, “Hypocalcemia”, “Near infrared autofluorescence”, “Postoperative”, “Complications”, “Outcomes”. Logical operators (NOT, AND, OR) were employed to acquire the outcomes. The data was last retrieved on 10 June 2023.

2.4. Data Screening and Selection

Two researchers (KNR and PD) independently screened the retrieved papers, considering the article type, title, and abstract. The qualified publications were aggregated, and an in-depth analysis of the full texts, along with references in pertinent articles, was conducted through snowball searching for similar studies (Figure 1). The article selection process was carried out by KNR and PD, with any disputes regarding inclusion resolved by the senior author, RR.

2.5. Inclusion and Exclusion Criteria

The inclusion criteria were treatment-naïve benign or malignant thyroid lesions undergoing total thyroidectomy with or without neck dissection and using NIRAF with or without indocyanine green (ICG) angiography for parathyroid identification during total thyroidectomy by experienced surgeons. Only randomised controlled trials reporting either overall, temporary, or permanent hypocalcemia, published in peer-reviewed journals, were included.
The exclusion criteria were non-human studies and studies including patients with hemithyroidectomy, completion thyroidectomy, revision thyroid surgery, previous oncological treatment, and patients with second or recurrent cancer. Review articles, abstracts from meetings, case series and reports, letters to editor, retrospective series, non-randomised prospective studies were excluded.

2.6. Data Retrieval

KNR and PD independently screened all included articles. The recorded study characteristics encompassed the author, publication year, country, sample size, study type, level of evidence, Newcastle–Ottawa scale (NOS), risk of bias, total thyroidectomy cases, cases in the NIRAF arm, cases in the non-NIRAF arm, overall hypocalcemia rate, temporary hypocalcemia rate, permanent hypocalcemia rate, malignant and benign cases in the cohort, NIRAF assessment type, equipment type, parathyroid identification rate, accidental parathyroidectomy, parathyroid auto-transplantation rate, hypocalcemia definition in the study, and mean postoperative day 1 (POD 1) PTH levels (Table 1).

3. Quality Assessment

3.1. Level of Evidence

KNR and PD independently assessed the level of evidence in the eligible studies using the Oxford Centre for Evidence-Based Medicine (OCEBM).

3.2. Methodology Quality

The methodological quality was evaluated by two authors (KNR and PD) using the NOS [21]. Scores ranged from zero to nine, and articles with a score exceeding five were chosen for inclusion in the meta-analysis.

3.3. Risk of Bias Assessment

To assess bias, the Cochrane randomised trial tool (RoB2) was used [22]. We evaluated the following domains: random sequence generation (selection bias), allocation concealment (selection bias), incomplete outcome data (attrition bias), selective reporting (reporting bias), and other relevant domains. The studies were categorized as low risk, unclear risk, or high risk using RevMan v.5.4 (Cochrane Collaboration, Copenhagen, Denmark) [23] (Supplementary Figures S1 and S2).

3.4. Statistical Analysis

Outcome Measure Analysis: The assessment employed the log odds ratio (logOR) to examine differences in outcome measures [24]. Utilizing a random-effects model, we considered both within-study and between-study variability, allowing for fluctuations in the actual effect size across studies—a more conservative approach than a fixed-effects model [25].
Visualization of Effect Size: Forest and L’abbe plots were utilized for visualizing effect size estimates [26].
Heterogeneity Testing: To assess heterogeneity, the DerSimonian–Laird estimator determined the between-study variance (tau2), reflecting variations in true effect sizes among studies. The Cochran Q-test examined significant heterogeneity in true outcomes based on individual study effect sizes compared to the overall effect size [27].
Higgins Test Interpretation: Higgins I2, expressed as a percentage, indicated the proportion of total variability attributed to heterogeneity. A 0% value denoted no observed heterogeneity, while higher values signified increased heterogeneity. In cases of detected heterogeneity (tau2 > 0), a prediction interval was provided to accommodate uncertainty arising from heterogeneity [28].
Identification of Outliers: Outliers were determined through studentized residuals, considering the variability of estimated effect sizes and their standard errors [29]. Studies exceeding a specific threshold (calculated with the Bonferroni correction) were considered potential outliers, visualized in a radial plot [30].
Assessment of Influential Studies: Cook’s distances were employed to identify influential studies, quantifying each study’s impact on the overall model. Studies exceeding a specific threshold (median plus six times the interquartile range of Cook’s distances) were deemed influential [31].
Publication Bias Analysis: Additionally, funnel plot asymmetry was assessed to detect potential publication bias, where smaller studies with non-significant results might be underrepresented. Rank correlation and regression tests, utilizing the standard error of observed outcomes as the predictor, were applied to check for funnel plot asymmetry [32].
Software Utilization: All computations were carried out using the R Project for Statistical Computing v4.3.1 for Windows [33].

4. Results

4.1. Literature Retrieval and Data Extraction

The initial literature search using search syntax identified 105 articles (Figure 1). Of these, 47 remained after deleting 58 duplicates. Upon title screening, 23 articles were removed due to nonconformity with our study (case series = 7, review article = 2, meta-analysis = 1, not using NIRAF = 13). Following the abstract screening, five more articles were excluded (hypocalcemia not reported = 3, including hemithyroidectomy in the study = 2). After a full-text analysis of the remaining 19 articles, 10 papers were rejected due to being a prospective comparative study (n = 4), case-control study (n = 2), cohort study (n = 2), and retrospective study (n = 2). Finally, nine randomised controlled studies comparing NIRAF with non-NIRAF use in thyroidectomy [8,9,14,15,16,17,18,19,20] were included for meta-analysis.

4.2. Quality of Included Studies

The main characteristics of the included studies are summarised in Table 1 and Table 2. The qualitative data synthesis yielded 1363 cases undergoing total thyroidectomy from nine articles. A total of 636 cases were randomised to the NIRAF arm, and 637 were randomised into the non-NIRAF arm. Seven studies reported the overall rates of postoperative hypocalcemia; all reported the rates of temporary postoperative hypocalcemia, and only six reported permanent hypocalcemia. Six studies were from Europe (France = 1, Greece = 1, Ukraine = 1, Germany = 1, Denmark = 1, and Italy = 1), two were from China, and one from Argentina (Table 2). Based on the risk of bias assessment tool, the included studies had a high risk of random sequence generation and allocation concealment (selection bias) and incomplete outcome reporting (attrition bias, selective reporting, or reporting bias). (Supplementary Figure S1).

4.3. Publication Bias

The funnel plot appears symmetric for the domains in the meta-analysis, suggesting a very low risk of publication bias among the included articles (Supplementary Figure S2).

4.4. The Overall Rate of Hypocalcemia

The overall hypocalcemia (OH) rate data were extracted from seven studies [9,14,16,17,18,19,20] for NIRAF (n = 415) and non-NIRAF (n = 417) arms. The pooled OH was 12.6% for the NIRAF arm and 20.1% for the non-NIRAF arm. The pooled data had no significant heterogeneity with Cochran Q = 2.97, Tau2 = 0, df = 6 (p = 0.81), or I2 = 0%. The log(OR) was −0.7 [(−1.01, −0.40), M-H, REM, CI = 95%], favouring the NIRAF arm. The overall effect estimates for the NIRAF and non-NIRAF arms were statistically significant for OH (Z = −3.95, p < 0.001, CI = 95%) (Figure 2A,D). Table 3 shows an overview of the meta-analysis statistics.

4.5. Temporary Hypocalcemia

The temporary hypocalcemia (TH) rate data were extracted from the nine NIRAF (n = 636) and non-NIRAF arm (n = 637) studies [8,9,14,15,16,17,18,19,20]. The pooled OH was 13.8% for the NIRAF arm and 24.8% for the non-NIRAF arm. The pooled data had no significant heterogeneity with Cochran Q = 2.69, Tau2 = 0, df = 8 (p = 0.95), or I2 = 0%. The log(OR) was −0.8 [(−1.01, −0.59), M-H, REM, CI = 95%], favouring the NIRAF arm. The overall effect estimates for the NIRAF and non-NIRAF arms were statistically significant for TH (Z = −5.14, p < 0.001, CI = 95%) (Figure 2B,E).

4.6. Permanent Hypocalcemia

The permanent hypocalcemia (PH) rate data were extracted from the six NIRAF (n = 476) and non-NIRAF arms (n = 473) studies [8,9,14,15,16,20]. The pooled PH was 0.2% for the NIRAF arm and 1.3% for the non-NIRAF arm. The pooled data had no significant heterogeneity with Cochran Q = 0.8, Tau2 = 0, df = 3 (p = 0.98), or I2 = 0%. The log(OR) was −1.09 [(−2.34, 0.17), M-H, REM, CI = 95%] was favouring NIRAF arm. The overall effect estimates for NIRAF and non-NIRAF arms were not statistically significant for PH (Z = −1.69, p = 0.09, CI = 95%) (Figure 2C,F).

4.7. Citation Network

The citation network of the included articles was generated using the Litmaps tool. The axes on the literature citation maps are the logarithmic scale of citations and are distributed over the positions of articles according to the semantic similarity of their titles. The size of the individual article bubble corresponds to the logarithmic scale of the article citation. It shows that the early randomised NIRAF trials had more citation networks than others. Nearly all included studies have quoted Dip et al. [14], followed by Benmiloud et al. [15]. Parfentiev et al. [16] is the only study that does not cite any of the included studies (Figure 3).

5. Discussion

This study is the first attempt to systematically evaluate and summarise data from high-quality, non-heterogenous, randomised controlled trials on postoperative hypocalcemia after total thyroidectomy using NIRAF. We hope this will inform and guide the introduction of this new NIRAF technology.
NIRAF imaging has evolved as a non-invasive technique since its initial description by Paras et al. [34], who identified the potential to detect fluorescence emissions from parathyroid glands using near-infrared light. NIRAF imaging can be performed at any stage of the surgical procedure without significant interference or time commitment. It allows for autofluorescence detection in excised and intact parathyroid glands, enabling surgeons to salvage inadvertently removed glands before pathological analysis and perform auto-implantation. All of the included randomised controlled trials investigating the role of NIRAF in total thyroidectomy have demonstrated their significant impact on improving detection rates and reducing the occurrence of overall and temporary hypocalcemia [8,9,14,15,16,17,18,19,20].
Benmiloud et al. [15] conducted a study in France that included cases of total thyroidectomy with or without neck dissection performed by experienced surgeons. Their cohort exhibited an overall malignancy rate of 23.2%, with 76.8% of patients being benign. The study focused on NIRAF assessment without ICG angiography, utilising Fluobeam 800 (Fluoptics, Grenoble, France) for evaluation. Notably, there was a statistically significant difference in the identification of all four parathyroid glands in the NIRAF arm [47%] compared to the non-NIRAF arm (19.2%) (p < 0.001). Additionally, the rate of accidental parathyroidectomy in the NIRAF arm (2.4%) was significantly lower than in the non-NIRAF arm (11.5%) (p = 0.006). The study defined hypocalcemia as corrected calcium levels < 8 mg/dL. Interestingly, the mean PTH levels on POD 1 were 33.2 pg/mL in the NIRAF arm and 28.6 pg/mL in the non-NIRAF arm, but the difference in PTH levels was not statistically significant (p = 0.07). The follow-up period for this study was extended up to six months.
Dip et al. [14] conducted a study in Argentina that included cases of total thyroidectomy performed by experienced surgeons. In their cohort, the overall malignancy rate was 48.8%, while 51.2% of patients were benign. The study focused on NIRAF assessment without ICG angiography, using Fluobeam 800 (Fluoptics, France) for evaluation. Interestingly, they found no statistically significant difference in the mean parathyroid glands identified between the NIRAF arm (3.7) and the non-NIRAF arm (3.6) (p = 0.32). The parathyroid gland auto-transplantation rate in the NIRAF arm was 4.7%. Their study defined hypocalcemia as serum calcium levels < 8 mg/dL. The follow-up period for this study was extended up to six months.
Huang et al. [20] conducted a study in China, including cases of total thyroidectomy with or without neck dissection performed by experienced surgeons. Their cohort comprised exclusively of cT1-3, N0-1 papillary carcinoma of the thyroid. The study focused solely on NIRAF assessment without ICG angiography, utilising a handheld infrared camera (Jinan microsmart intelligence technologies, Shandong, China) for evaluation. Significantly, they found a difference in mean parathyroid gland identification between the NIRAF arm (3.9) and the non-NIRAF arm (3.2) (p < 0.001). The rate of parathyroid auto-transplantation in the NIRAF arm was significantly lower (6%) compared to the non-NIRAF arm (34%) (p < 0.001). The study defined hypocalcemia as serum calcium levels < 8.8 mg/dL. Notably, the mean PTH levels on POD 1 were 21.7 pg/mL in the NIRAF arm and 11.4 pg/mL in the non-NIRAF arm, with the difference in PTH levels being statistically significant (p < 0.001). The follow-up period for this study was extended up to six months.
Rossi et al. [8] conducted a study in Italy, including cases of total thyroidectomy with or without neck dissection performed by experienced surgeons. In their cohort, the overall malignancy rate was 58%, with 42% of cases being benign. Their study initially identified the parathyroid glands using NIRAF and assessed the vascularity of the parathyroid gland using ICG angiography, scoring using ICG score following thyroidectomy. For assessment, they utilised Fluobeam LX (Fluoptics, France). The study found a statistically significant difference in mean parathyroid glands identified between the NIRAF arm (3.83) and the non-NIRAF arm (3.64) (p = 0.028). Remarkably, the rate of accidental parathyroidectomy was 0% in the NIRAF arm and 4% in the non-NIRAF arm. Furthermore, the rate of parathyroid auto-transplantation was 9% in the NIRAF arm and 34% in the non-NIRAF arm. The study defined hypocalcemia as corrected calcium levels < 8 mg/dL. On POD 1, the mean PTH levels were 16.67 pg/mL in the NIRAF arm and 15.04 pg/mL in the non-NIRAF arm, with the difference in PTH levels not being statistically significant (p = 0.165). The follow-up period for this study was extended up to six months.
Lykke et al. [19] conducted a study in Denmark, including cases of total thyroidectomy and completion thyroidectomy performed by experienced surgeons. However, the data from total thyroidectomies only were included in their study. In their cohort, the overall malignancy rate was 59.8%, with 40.2% of cases being benign. Their study identified the parathyroid glands using NIRAF only without ICG angiography, employing Fluobeam 800 (Fluoptics, France) and Elevision IR (Medtronic, Minneapolis, MN, USA) for assessment. Interestingly, the rate of parathyroid auto-transplantation in the NIRAF arm (7.2%) was slightly less than in the non-NIRAF arm (9%) (p = 0.94). Their study defined hypocalcemia as ionic calcium levels < 4.72 mg/dL. The follow-up period for this study was extended up to three months.
Wolf et al. [18] conducted a study in Germany, including cases of total thyroidectomy for benign cases performed by experienced surgeons. Their study focused on identifying the parathyroid glands using NIRAF only without ICG angiography, utilising the autofluorescence mode of the Karl Storz endoscopic system with a 3-chip camera for assessment. Interestingly, they found no statistically significant difference in the mean parathyroid glands identified between the NIRAF arm (3.03) and the non-NIRAF arm (3.03) (p = 1). The number of parathyroid auto-transplantations in the NIRAF arm was 0.3, while in the non-NIRAF arm, it was 0.4 (p = 0.53). The study defined hypocalcemia as calcium levels < 8 mg/dL. On POD 1, the mean PTH levels were 26.7 pg/mL in the NIRAF arm and 24.7 pg/mL in the non-NIRAF arm. Notably, the follow-up period for this study was extended only up to discharge.
Yin et al. [9] conducted a study in China, including cases of total thyroidectomy with neck dissection performed by experienced surgeons for papillary thyroid cancer. Their study initially identified the parathyroid glands using NIRAF and assessed the vascularity of the parathyroid gland using ICG angiography, scoring the vascularity using ICG score. They used an infrared camera from Nanjing Nouyuan Medical Devices, China, for assessment. The study revealed a statistically significant difference in the mean parathyroid glands identified between the NIRAF arm (3.6) and the non-NIRAF arm (3.2) (p < 0.001). The number of parathyroid auto-transplantations in the NIRAF arm was 2.3; in the non-NIRAF arm, it was 2.2 (p = 0.6). Hypoparathyroidism was defined as PTH < 12 pg/dL in their study. On POD 1, the mean PTH levels were 21.1 pg/mL in the NIRAF arm and 15 pg/mL in the non-NIRAF arm, with the difference in PTH levels being statistically significant (p < 0.001).
Papavramidis et al. [17] conducted a study in Greece, including cases of total thyroidectomy performed by experienced surgeons with the ultrasonic scalpel. In their cohort, the overall malignancy rate was 49.4%, while 50.6% of cases were benign. Their study focused on identifying the parathyroid glands using NIRAF only without ICG angiography, employing Fluobeam LX (Fluoptics, France) for assessment. Notably, all four parathyroid glands were found in 29% of cases, and three were identified in 24.2% in the NIRAF arm. However, data for the non-NIRAF arm were unavailable, as the parathyroid glands in the non-NIRAF arm were not searched during surgery. The study found a rate of accidental parathyroidectomy at 14.4% in the NIRAF arm and 28.9% in the non-NIRAF arm (p = 0.02). Their study defined hypocalcemia as serum calcium levels < 8 mg/dL. On POD 1, the mean PTH levels were 30.4 pg/mL in the NIRAF arm and 23.5 pg/mL in the non-NIRAF arm, with the difference in PTH levels being statistically significant (p = 0.05). There was no long-term follow-up in their study.
Parfentiev et al. [16] conducted a study in Ukraine, including cases of total thyroidectomy performed by experienced surgeons. Their study initially identified the parathyroid glands using NIRAF and assessed the vascularity of the parathyroid gland using ICG angiography; the autofluorescence mode of the Karl Storz endoscopic system with a 3-chip camera was used for assessment. In their cohort, the overall malignancy rate was 18.9%, with 81.1% of cases being benign. Their study defined hypocalcemia as serum calcium levels < 8 mg/dL. On POD 1, the mean PTH levels were 30.08 pg/mL in the NIRAF arm and 30.17 pg/mL in the non-NIRAF arm, with the difference in PTH levels not being statistically significant (p = 0.52). Their study followed the participants for a period of up to six months.
The present meta-analysis demonstrates that the use of NIRAF led to a statistically significant difference in the overall rate of hypocalcemia log(OR) = −0.7 [(−1.01, −0.40), M-H, REM, CI = 95%] and temporary hypocalcemia log(OR) = −0.8 [(−1.01, −0.59), M-H, REM, CI = 95%]. The difference in the rate of permanent hypocalcemia log(OR) = −1.09 [(−2.34, 0.17), M-H, REM, CI = 95%] between the two arms trended towards the NIRAF arm. The lack of significance in permanent hypocalcemia rates can be attributed to the small effect size in that group. The included randomised studies had low heterogeneity due to similar inclusion and exclusion criteria (Supplementary Figure S2).
A meta-analysis conducted by Diego Barbieri and colleagues [35] yielded similar outcomes, although their analysis included non-randomised studies, which increased heterogeneity in their groups. The systematic review by Wei Lu et al. [36] and Wang et al. [37] demonstrated that NIRAF reduces inadvertent parathyroid gland excision during total thyroidectomy.
Considering our results, it is reasonable to assume that parathyroid glands sustain less damage during surgery performed with NIRAF than without NIRAF, resulting in higher serum calcium levels in the immediate postoperative period for patients in the NIRAF group. The use of NIRAF during thyroid surgery has been shown to increase the number of glands identified [38] and has been shown to increase the rate of auto-transplanted parathyroid glands, presumably due to improved detection on the specimen. NIRAF can be utilised multiple times throughout the procedure. NIRAF can also potentially replace the frozen section examination of parathyroid glands before auto-transplantation, reducing surgical time and enabling more available tissue for reimplantation [39].
Despite the reported advantages, the adoption of NIRAF has some limitations. NIRAF can be influenced by adipose tissue surrounding parathyroid glands, reducing fluorescence and intraoperative visualisation, as it cannot penetrate beyond 3 mm [40]. Moreover, this technology cannot differentiate between vascularised and devascularised parathyroid glands, and NIRAF does not give information on parathyroid gland viability [39]. The additional use of the intravenous contrast agent ICG can help determine viability [41]. Additionally, the timing of PTH measurement also plays a significant role in determining postoperative hypocalcemia, and there is no standardised timing for measuring PTH following NIRAF use [42].
The introduction of these new technologies inevitably leads to longer operative times. A study by Lerchenberger et al. [43] comparing NIRAF during thyroid surgery showed that its use increased the duration of the operation by approximately 10 min. However, considering the avoidance of postoperative hypocalcemia with NIRAF, this additional time can be deemed a small trade-off.
Our meta-analysis has some limitations. Firstly, the surgeries were performed by experienced surgeons, which may limit the general applicability of the findings. Including surgeons with varying experience levels would have been beneficial to provide a more comprehensive understanding of the results. Given that NIRAF provides an added dynamic in parathyroid gland identification, we feel it may accelerate learning curves for surgical trainees. Additionally, important factors that could influence parathyroid gland preservation, such as malignancy, thyroid gland size, extrathyroidal extension, central compartment clearance, and revision surgery, were not assessed, potentially affecting the conclusions. Especially more extensive surgery puts parathyroid glands and their vascular supply at increased risk and may affect postoperative hypocalcemia rates. Moreover, incorporating NIRAF into the surgical techniques showed slight variations across the included studies. It is also possible to detect NIRAF with a probe-based system (PTEye) [44]. But none of the RCTs have utilised the PTEye method. The effect size calculation and meta-analysis could not be conducted for the number of parathyroid gland identifications, accidental parathyroidectomies, parathyroid auto-transplantation rate, and mean POD 1 PTH levels. It is essential to have a standard deviation, variance, and standard error data to calculate effect sizes using the generic inverse variance method for continuous variables. But these variables were not reported.
Furthermore, another limitation arises from the varying definitions of hypocalcemia used across some studies. Some studies utilised serum calcium, while others used corrected calcium levels. Lastly, the cost-effectiveness of the NIRAF technique needs further assessment to determine its practical value and potential implications in clinical settings.

6. Conclusions

NIRAF imaging in thyroid surgery has shown significant benefits by reducing overall and temporary hypocalcemia rates, with a tendency to favour NIRAF for permanent hypocalcemia rates. NIRAF allows for the identification and preservation of parathyroid glands. However, limitations exist, such as the influence of surrounding adipose tissue and the inability to differentiate between vascularised and devascularised glands. Nevertheless, NIRAF holds promise as a valuable tool in thyroid surgery. Further research and cost-effectiveness studies are required for routine adoption.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/diagnostics14050505/s1, Figure S1: Risk of bias A. Graph, B. Summary; Figure S2: A: Funnel plot for overall rate of postoperative hypocalcemia. B: Funnel plot for the rate of temporary hypocalcemia. C: Funnel plot for the rate of permanent hypocalcemia. D: Radial plot for overall rate of postoperative hypocalcemia. E: Radial plot for the rate of temporary hypocalcemia. F: Radial plot for the rate of permanent hypocalcemia.

Author Contributions

Conceptualisation K.N.R., R.R., P.D. and A.F.; Data collection, K.N.R. and P.D.; Data synthesis, K.N.R. and P.D.; Data analysis, K.N.R.; Drafting the article, K.N.R., R.R., P.D., D.V., F.T., I.J.N., G.W.R., A.A.M., M.Z. and A.F.; Critical revision of the article, K.N.R., R.R., P.D., D.V., F.T., I.J.N., G.W.R., A.A.M., M.Z. and A.F.; Final approval of the version to be published, K.N.R., R.R., P.D., D.V., F.T., I.J.N., G.W.R., A.A.M., M.Z. and A.F. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

An ethics statement is not applicable because this study is based exclusively on published literature.

Informed Consent Statement

Not applicable.

Data Availability Statement

All data generated or analysed during this study are included in this article. Further enquiries can be directed to the corresponding author.

Conflicts of Interest

F.T. received consulting fees from Medtronic and Fluoptics.

References

  1. Ritter, K.; Elfenbein, D.; Schneider, D.F.; Chen, H.; Sippel, R.S. Hypoparathyroidism after total thyroidectomy: Incidence and resolution. J. Surg. Res. 2015, 197, 348–353. [Google Scholar] [CrossRef] [PubMed]
  2. Edafe, O.; Balasubramanian, S.P. Incidence, prevalence and risk factors for post-surgical hypocalcaemia and hypoparathyroidism. Gland. Surg. 2017, 6 (Suppl. S1), S59–S68. [Google Scholar] [CrossRef] [PubMed]
  3. Bergenfelz, A.; Nordenström, E.; Almquist, M. Morbidity in patients with permanent hypoparathyroidism after total thyroidectomy. Surgery 2020, 167, 124–128. [Google Scholar] [CrossRef] [PubMed]
  4. Demarchi, M.S.; Karenovics, W.; Bédat, B.; Triponez, F. Intraoperative autofluorescence and indocyanine green angiography for the detection and preservation of parathyroid glands. J. Clin. Med. 2020, 9, 830. [Google Scholar] [CrossRef] [PubMed]
  5. Solórzano, C.; Thomas, G.; Baregamian, N.; Mahadevan-Jansen, A. Detecting the near infrared autofluorescence of the human parathyroid: Hype or opportunity? Ann Surg. 2020, 272, 973–985. [Google Scholar] [CrossRef]
  6. McWade, M.A.; Sanders, M.E.; Broome, J.T.; Solórzano, C.C.; Mahadevan-Jansen, A. Establishing the clinical utility of autofluorescence spectroscopy for parathyroid detection. Surgery 2016, 159, 193–203. [Google Scholar] [CrossRef]
  7. Tabei, I.; Fuke, A.; Fushimi, A.; Takeyama, H. Determination of the optimum excitation wavelength for the parathyroid gland using a near-infrared camera. Front. Surg. 2021, 7, 619859. [Google Scholar] [CrossRef]
  8. Rossi, L.; Vasquez, M.C.; Pieroni, E.; Ambrosini, C.E.; Miccoli, M.; Cetani, F.; Elisei, R.; Materazzi, G. Indocyanine green fluorescence and near-infrared autofluorescence may improve post-thyroidectomy parathyroid function. Surgery 2023, 173, 124–131. [Google Scholar] [CrossRef]
  9. Yin, S.; Pan, B.; Yang, Z.; Tang, M.; Mo, H.; Li, Y.; Yi, Z.; Yin, T.; Shao, C.; Yan, C.; et al. Combined use of autofluorescence and indocyanine green fluorescence imaging in the identification and evaluation of parathyroid glands during total thyroidectomy: A randomized controlled trial. Front. Endocrinol. 2022, 13, 897797. [Google Scholar] [CrossRef]
  10. Stack, B.C.; Bimston, D.N.; Bodenner, D.L.; Brett, E.M.; Dralle, H.; Orloff, L.A.; Pallota, J.; Snyder, S.K.; Wong, R.J.; Randolph, G.W. American association of clinical endocrinologists and American college of endocrinology disease state clinical review: Postoperative hypoparathyroidism—Definitions and management. Endocr. Pract. Off. J. Am. Coll. Endocrinol. Am. Assoc. Clin. Endocrinol. 2015, 21, 674–685. [Google Scholar] [CrossRef]
  11. Shamseer, L.; Moher, D.; Clarke, M.; Ghersi, D.; Liberati, A.; Petticrew, M.; Shekelle, P.; Stewart, L.A.; the PRISMA-P Group. Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015: Elaboration and explanation. BMJ 2015, 349, g7647. [Google Scholar] [CrossRef]
  12. Shea, B.J.; Reeves, B.C.; Wells, G.; Thuku, M.; Hamel, C.; Moran, J.; Moher, D.; Tugwell, P.; Welch, V.; Kristjansson, E.; et al. AMSTAR 2: A critical appraisal tool for systematic reviews that include randomised or non-randomised studies of healthcare interventions, or both. BMJ 2017, 358, j4008. [Google Scholar] [CrossRef] [PubMed]
  13. Available online: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023434610 (accessed on 23 July 2023).
  14. Dip, F.; Falco, J.; Verna, S.; Prunello, M.; Loccisano, M.; Quadri, P.; White, K.; Rosenthal, R. Randomized controlled trial comparing white light with near-infrared autofluorescence for parathyroid gland identification during total thyroidectomy. J. Am. Coll. Surg. 2019, 228, 744–751. [Google Scholar] [CrossRef] [PubMed]
  15. Benmiloud, F.; Godiris-Petit, G.; Gras, R.; Gillot, J.C.; Turrin, N.; Penaranda, G.; Noullet, S.; Chéreau, N.; Gaudart, J.; Chiche, L.; et al. Association of autofluorescence-based detection of the parathyroid glands during total thyroidectomy with postoperative hypocalcemia risk: Results of the parafluo multicenter randomized clinical trial. JAMA Surg. 2020, 155, 106–112. [Google Scholar] [CrossRef] [PubMed]
  16. Parfentiev, R.; Grubnik, V.; Grubnik, V.; Bugridze, Z.; Giuashvili, S.; Beselia, L. Study of intraoperative indocyanine green angiography effectiveness for identification of parathyroid glands during total thyroidectomy. Georgian Med. News 2021, 314, 26–29. [Google Scholar]
  17. Papavramidis, T.S.; Chorti, A.; Tzikos, G.; Anagnostis, P.; Pantelidis, P.; Pliakos, I.; Panidis, S.; Papaioannou, M.; Bakkar, S.; Unal, E.; et al. The effect of intraoperative autofluorescence monitoring on unintentional parathyroid gland excision rates and postoperative PTH concentrations-a single-blind randomized-controlled trial. Endocrine 2021, 72, 546–552. [Google Scholar] [CrossRef] [PubMed]
  18. Wolf, H.W.; Runkel, N.; Limberger, K.; Nebiker, C.A. Near-infrared autofluorescence of the parathyroid glands during thyroidectomy for the prevention of hypoparathyroidism: A prospective randomized clinical trial. Langenbeck’s Arch. Surg. 2022, 407, 3031–3038. [Google Scholar] [CrossRef] [PubMed]
  19. Lykke, E.; Christensen, A.; Juhl, K.; Feldt-Rasmussen, U.; Hitz, M.F.; Sjöstedt, S.M.S.; Hahn, C.H.; Svensson, D.M.K.; Springborg, K.K.; Stage, M.G.; et al. Effect of near infrared autofluorescence guided total thyroidectomy on postoperative hypoparathyroidism: A randomized clinical trial. Eur. Arch. Oto-Rhino-Laryngol. 2023, 280, 2593–2603. [Google Scholar] [CrossRef]
  20. Huang, J.; He, Y.; Wang, Y.; Chen, X.; Zhang, Y.; Chen, X.; Huang, Z.; Fang, J.; Zhong, Q. Prevention of hypoparathyroidism: A step-by-step near-infrared autofluorescence parathyroid identification method. Front. Endocrinol. 2023, 14, 1086367. [Google Scholar] [CrossRef]
  21. Lo, C.K.L.; Mertz, D.; Loeb, M. Newcastle-Ottawa Scale: Comparing reviewers’ to authors’ assessments. BMC Med. Res. Methodol. 2014, 14, 45. [Google Scholar] [CrossRef]
  22. Sterne, J.A.C.; Savović, J.; Page, M.J.; Elbers, R.G.; Blencowe, N.S.; Boutron, I.; Cates, C.J.; Cheng, H.Y.; Corbett, M.S.; Eldridge, S.M.; et al. RoB 2: A revised tool for assessing risk of bias in randomised trials. BMJ 2019, 366, l4898. [Google Scholar] [CrossRef] [PubMed]
  23. RevMan. Available online: https://training.cochrane.org/online-learning/core-software/revman (accessed on 23 July 2023).
  24. Hu, D.; Wang, C.; O’connor, A.M. A method of back-calculating the log odds ratio and standard error of the log odds ratio from the reported group-level risk of disease. PLoS ONE 2020, 15, e0222690. [Google Scholar] [CrossRef] [PubMed]
  25. Dettori, J.R.; Norvell, D.C.; Chapman, J.R. Fixed-effect vs random-effects models for meta-analysis: 3 points to consider. Glob. Spine J. 2022, 12, 1624–1626. [Google Scholar] [CrossRef] [PubMed]
  26. Kossmeier, M.; Tran, U.S.; Voracek, M. Charting the landscape of graphical displays for meta-analysis and systematic reviews: A comprehensive review, taxonomy, and feature analysis. BMC Med. Res. Methodol. 2020, 20, 26. [Google Scholar] [CrossRef] [PubMed]
  27. Veroniki, A.A.; Jackson, D.; Viechtbauer, W.; Bender, R.; Bowden, J.; Knapp, G.; Kuss, O.; Higgins, J.P.; Langan, D.; Salanti, G. Methods to estimate the between-study variance and its uncertainty in meta-analysis. Res. Synth Methods 2016, 7, 55–79. [Google Scholar] [CrossRef]
  28. Higgins, J.P.T.; Thompson, S.G.; Deeks, J.J.; Altman, D.G. Measuring inconsistency in meta-analyses. BMJ 2003, 327, 557–560. [Google Scholar] [CrossRef] [PubMed]
  29. Bashiri, M.; Moslemi, A. The analysis of residuals variation and outliers to obtain robust response surface. J. Ind. Eng. Int. 2013, 9, 2. [Google Scholar] [CrossRef]
  30. Bowden, J.; Spiller, W.; Del Greco, M.F.; Sheehan, N.; Thompson, J.; Minelli, C.; Davey Smith, G. Improving the visualization, interpretation and analysis of two-sample summary data Mendelian randomization via the Radial plot and Radial regression. Int. J. Epidemiol. 2018, 47, 1264–1278. [Google Scholar] [CrossRef]
  31. Zhu, H.; Ibrahim, J.G.; Cho, H. Perturbation and scaled cook’s distance. Ann Stat. 2012, 40, 785. [Google Scholar] [CrossRef]
  32. Simmonds, M. Quantifying the risk of error when interpreting funnel plots. Syst. Rev. 2015, 4, 24. [Google Scholar] [CrossRef]
  33. Download R-4.3.1 for Windows. The R-Project for Statistical Computing. Available online: https://cran.r-project.org/bin/windows/base/ (accessed on 23 July 2023).
  34. Paras, C.; Keller, M.; White, L.; Phay, J.; Mahadevan-Jansen, A. Near-infrared autofluorescence for the detection of parathyroid glands. J. Biomed. Opt. 2011, 16, 067012. [Google Scholar] [CrossRef]
  35. Barbieri, D.; Indelicato, P.; Vinciguerra, A.; Salerno, E.; Battista, R.A.; Di Marco, F.; Giordano, L.; Luce, F.L.; Bondi, S.; Trimarchi, M.; et al. The impact of near-infrared autofluorescence on postoperative hypoparathyroidism during total thyroidectomy: A case–control study. Endocrine 2023, 79, 392–399. [Google Scholar] [CrossRef] [PubMed]
  36. Lu, W.; Chen, Q.; Zhang, P.; Su, A.; Zhu, J. Near-infrared autofluorescence imaging in thyroid surgery: A systematic review and meta-analysis. J. Investig. Surg. Off. J. Acad. Surg. Res. 2022, 35, 1723–1732. [Google Scholar] [CrossRef] [PubMed]
  37. Wang, B.; Zhu, C.-R.; Liu, H.; Yao, X.-M.; Wu, J. The ability of near-infrared autofluorescence to protect parathyroid gland function during thyroid surgery: A meta-analysis. Front. Endocrinol. 2021, 12, 714691. [Google Scholar] [CrossRef] [PubMed]
  38. Vetter, D.; Triponez, F. Near-infrared fluorescence techniques to reduce hypocalcaemia after thyroidectomy. Br. J. Surg. 2023, 18, znad221. [Google Scholar] [CrossRef] [PubMed]
  39. Solórzano, C.C.; Thomas, G.; Berber, E.; Wang, T.S.; Randolph, G.W.; Duh, Q.-Y.; Triponez, F. Current state of intraoperative use of near infrared fluorescence for parathyroid identification and preservation. Surgery 2021, 169, 868–878. [Google Scholar] [CrossRef]
  40. Han, Y.S.; Kim, Y.; Lee, H.S.; Kim, Y.; Ahn, Y.-C.; Lee, K.D. detectable depth of unexposed parathyroid glands using near-infrared autofluorescence imaging in thyroid surgery. Front. Endocrinol. 2023, 14, 1170751. [Google Scholar] [CrossRef]
  41. Marshall, M.V.; Rasmussen, J.C.; Tan, I.C.; Aldrich, M.B.; Adams, K.E.; Wang, X.; Fife, C.E.; Maus, E.A.; Smith, L.A.; Sevick-Muraca, E.M. Near-infrared fluorescence imaging in humans with indocyanine green: A review and update. Open Surg. Oncol. J. Online 2010, 2, 12–25. [Google Scholar] [CrossRef]
  42. Filho, E.B.Y.; Machry, R.V.; Mesquita, R.; Scheffel, R.S.; Maia, A.L. The timing of parathyroid hormone measurement defines the cut-off values to accurately predict postoperative hypocalcemia: A prospective study. Endocrine 2018, 61, 224–231. [Google Scholar] [CrossRef]
  43. Lerchenberger, M.; Al Arabi, N.; Gallwas, J.K.S.; Stepp, H.; Hallfeldt, K.K.J.; Ladurner, R. Intraoperative near-infrared autofluorescence and indocyanine green imaging to identify parathyroid glands: A comparison. Int. J. Endocrinol. 2019, 2019, 4687951. [Google Scholar] [CrossRef]
  44. Kiernan, C.M.; Thomas, G.; Baregamian, N.; Solórzano, C.C. Initial clinical experiences using the intraoperative probe-based parathyroid autofluorescence identification system—PTeyeTM during thyroid and parathyroid procedures. J. Surg. Oncol. 2021, 124, 271–281. [Google Scholar] [CrossRef]
Diagnostics 14 00505 g001
Figure 1. PRISMA flow diagram.
Figure 1. PRISMA flow diagram.
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Figure 2. (A) Forest plot for overall rate of postoperative hypocalcemia [9,14,16,17,18,19,20]. (B) Forest plot for the rate of temporary hypocalcemia [8,9,14,15,16,17,18,19,20]. (C) Forest plot for the rate of permanent hypocalcemia [8,9,14,15,16,20]. (D) L’abbe plot for overall rate of postoperative hypocalcemia. (E) L’abbe plot for the rate of temporary hypocalcemia. (F) L’abbe plot for the rate of permanent hypocalcemia.
Figure 2. (A) Forest plot for overall rate of postoperative hypocalcemia [9,14,16,17,18,19,20]. (B) Forest plot for the rate of temporary hypocalcemia [8,9,14,15,16,17,18,19,20]. (C) Forest plot for the rate of permanent hypocalcemia [8,9,14,15,16,20]. (D) L’abbe plot for overall rate of postoperative hypocalcemia. (E) L’abbe plot for the rate of temporary hypocalcemia. (F) L’abbe plot for the rate of permanent hypocalcemia.
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Figure 3. Citation network [8,9,14,15,16,17,18,19,20].
Figure 3. Citation network [8,9,14,15,16,17,18,19,20].
Diagnostics 14 00505 g003
Table 1. Summary studies included for meta-analysis.
Table 1. Summary studies included for meta-analysis.
AuthorCountryYearStudy TypeLOENOSnNIRAF ArmNo-NIRAF ArmOverall HypocalcemiaTemporary HypocalcemiaPermanent Hypocalcemia
NIRAFNo-NIRAFNIRAFNo-NIRAFNIRAFNo-NIRAF
YesNoYesNoYesNoYesNoYesNoYesNo
Dip et al. [14]Argentina2019RCT1b9170858577814717781471085085
Benmiloud et al. [15]France2020RCT1b9245121120 11110269401212118
Parfentiev et al. [16]Ukraine2021RCT2b8583028228523228523030127
Papavramidis et al. [17]Greece2021RCT2b81809090387585387585
Yin et al. [9]China2022RCT2b818090902565395125653951090090
Wolf et al. [18]Germany2022RCT2b860303072314167231416
Lykke et al. [19]Denmark2023RCT1b9170404418222123436638
Rossi et al. [8]Italy2023RCT1b9200100100 12881882199496
Huang et al. [20]China2023RCT2b810050501832302017333119050149
Overall1363636637803351282898854815847914758465
RCT—Randomised control trial; LOE—Level of evidence; NOS—Newcastle–Ottawa scale; NIRAF—Near Infrared autofluorescence.
Table 2. Detailed description of included studies. Summary of included studies.
Table 2. Detailed description of included studies. Summary of included studies.
No.CohortMalignancy vs. BenignType of AssessmentNIRAF EquipmentParathyroid Gland IdentificationAccidental ParathyroidectomyParathyroid Auto-Transplantation RateDefinition of HypocalcemiaMean POD 1 PTH Levels
1Dip et al. [14]Malignant: 48.8%; benign cases: 51.2%NIRAF onlyFluobeam 800 (Fluoptics, France)NIRAF (3.7) vs. non-NIRAF arm (3.6) (p = 0.32) NIRAF arm: 4.7%Serum calcium levels < 8 mg/dL
2Benmiloud et al. [15]Malignant: 23.2%; benign cases: 76.8%NIRAF onlyFluobeam 800 (Fluoptics, France)All 4-gland identification in NIRAF (47%) vs. non-NIRAF arm (19.2%) (p < 0.001)NIRAF arm (2.4%) vs. non-NIRAF arm (11.5%) (p = 0.006)NIRAF arm: 2.4%; non-NIRAF arm: 11.5% (p = 0.006)Corrected calcium levels < 8 mg/dLNIRAF arm: 33.2 pg/mL; non-NIRAF arm: 28.6 pg/mL (p = 0.07)
3Papavramidis et al. [17]Malignant: 49.4%; benign cases: 50.6%NIRAF onlyFluobeam LX (Fluoptics, France)All 4 parathyroid glands were found in 29% of cases, and 3 glands were identified in 24.2% of the NIRAF armNIRAF arm (14.4%) vs. non-NIRAF arm (28.9%) (p = 0.002) Hypocalcemia defined as serum calcium levels < 8 mg/dLNIRAF arm: 30.4 pg/mL; non-NIRAF arm: 23.5 pg/mL (p = 0.005)
4Parfentiev et al. [16]Malignant: 18.9%; benign cases: 81.1%NIRAF followed by ICG angiographyAutofluorescence mode of Karl Storz endoscopic system with 3 chip cameras Hypocalcemia defined as serum calcium levels < 8 mg/dLNIRAF arm: 30.08 pg/mL; non-NIRAF arm: 30.17 pg/mL (p = 0.52)
5Wolf et al. [18]Benign: 100%NIRAF onlyAutofluorescence mode of Karl Storz endoscopic system with 3 chip camerasNIRAF (3.03) vs. non-NIRAF arm (3.03) (p = 1) NIRAF arm: 0.3; non-NIRAF arm: 0.4 (p = 0.53)Hypocalcemia defined as serum calcium levels < 8 mg/dLNIRAF arm: 26.7 pg/mL; non-NIRAF arm: 24.7 pg/ml
6Yin et al. [9]Malignant: 100%NIRAF followed by ICG angiographyInfrared camera (Nanjing Nouyuan Medical device, China)NIRAF (3.6) vs. non-NIRAF arm (3.2) (p < 0.001) NIRAF arm: 2.3; non-NIRAF arm: 2.2 (p = 0.6)*Hypoparathyroidism = PTH < 12 pg/mLNIRAF arm: 21.1 pg/mL; non-NIRAF arm: 15 pg/mL (p < 0.001)
7Huang et al. [20]Malignant: 100%NIRAF onlyInfrared camera (Jinan microsmart intelligence technologies, China)NIRAF (3.9) vs. non-NIRAF arm (3.2) (p < 0.001) NIRAF arm: 6%; non-NIRAF arm: 34% (p < 0.001)Serum calcium levels < 8.8 mg/dLNIRAF arm: 21.7 pg/mL; non-NIRAF arm: 11.4 pg/mL (p < 0.001)
8Rossi et al. [8]Malignant: 58%; benign cases: 42%NIRAF followed by ICG angiographyFluobeam LX (Fluoptics, France)NIRAF (3.83) vs. non-NIRAF arm (3.64) (p = 0.028)NIRAF arm (0%) vs. non-NIRAF arm (4%)NIRAF arm: 9%; non-NIRAF arm: 34%Corrected calcium levels < 8 mg/dLNIRAF arm: 16.67 pg/mL; non-NIRAF arm: 15.04 pg/mL (p = 0.165)
9Lykke et al. [19]Malignant: 59.8%; benign cases: 40.2%NIRAF onlyFluobeam 800 (Fluoptics, France) and Elevision IR (Medtronic, USA) NIRAF (7.2%) vs. non-NIRAF arm (9%) (p = 0.94)Ionic calcium levels < 4.72 mg/dL
Table 3. Overview of meta-analysis statistics.
Table 3. Overview of meta-analysis statistics.
Overall HypocalcemiaTemporary HypocalcemiaPermanent Hypocalcemia
Number of studies (k)k = 7k = 9k = 6
Log odds ratiosRange: −1.11 to −0.11Range: −1.15 to −0.35Range: −1.63 to 0
Majority of estimatesNegative (100%) Negative (100%)Negative (in 4 out of 6 studies, 67%)
Estimated average log odds ratio\hat{\μ} = −0.7\hat{\μ} = −0.8\hat{\μ} = −1.08
95% confidence interval−1.05 to −0.35−1.11 to −0.49−2.34 to 0.17
Significance of average outcomez-score = −3.95, p-value < 0.001z-score = −5.1375, p-value < 0.001z-score = −1.6953, p-value = 0.09
Maximum weightageYin et al. [9] (31.6%)Yin et al. [9] (24.2%)Rossi et al. [8] (32.3%)
HeterogeneityQ-test p-value = 0.81, tau2 = 0, I2 = 0%Q-test p-value = 0.95, tau2 = 0, I2 = 0%Q-test p-value = 0.98, tau2 = 0, I2 = 0%
OutliersNo outlier studies, Studentised residuals < ±2.69No outlier studies, Studentised residuals < ±2.77No outlier studies, Studentised residuals < ±2.64
Influential studiesNone, Cook’s distances < 1None, Cook’s distances < 1None, Cook’s distances < 1
Funnel plot asymmetryRank correlation p-value = 1, regression test p-value = 0.73Rank correlation p-value = 1, regression test p-value = 0.98Rank correlation p-value = 0.14, regression test p-value = 0.49
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Rao, K.N.; Rajguru, R.; Dange, P.; Vetter, D.; Triponez, F.; Nixon, I.J.; Randolph, G.W.; Mäkitie, A.A.; Zafereo, M.; Ferlito, A. Lower Rates of Hypocalcemia Following Near-Infrared Autofluorescence Use in Thyroidectomy: A Meta-Analysis of RCTs. Diagnostics 2024, 14, 505. https://doi.org/10.3390/diagnostics14050505

AMA Style

Rao KN, Rajguru R, Dange P, Vetter D, Triponez F, Nixon IJ, Randolph GW, Mäkitie AA, Zafereo M, Ferlito A. Lower Rates of Hypocalcemia Following Near-Infrared Autofluorescence Use in Thyroidectomy: A Meta-Analysis of RCTs. Diagnostics. 2024; 14(5):505. https://doi.org/10.3390/diagnostics14050505

Chicago/Turabian Style

Rao, Karthik N., Renu Rajguru, Prajwal Dange, Diana Vetter, Frederic Triponez, Iain J. Nixon, Gregory W. Randolph, Antti A. Mäkitie, Mark Zafereo, and Alfio Ferlito. 2024. "Lower Rates of Hypocalcemia Following Near-Infrared Autofluorescence Use in Thyroidectomy: A Meta-Analysis of RCTs" Diagnostics 14, no. 5: 505. https://doi.org/10.3390/diagnostics14050505

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