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Ultrasonographic cervical length screening at 20–24 weeks of gestation in twin pregnancies for prediction of spontaneous preterm birth: A 10-year Taiwanese cohort

  • Ksenia Olisova,

    Roles Conceptualization, Data curation, Formal analysis, Methodology, Writing – original draft, Writing – review & editing

    Affiliation Department of Medical Research, Taiji Clinic, Taipei, Taiwan

  • Chih-Hsuan Sao,

    Roles Conceptualization, Data curation, Methodology, Writing – review & editing

    Affiliations Department of Obstetrics and Gynecology, Taipei Tzu Chi Hospital, Taipei, Taiwan, Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan

  • Eric C. Lussier,

    Roles Conceptualization, Data curation, Writing – review & editing

    Affiliation Department of Medical Research, Taiji Clinic, Taipei, Taiwan

  • Chan-Yu Sung,

    Roles Conceptualization, Data curation, Formal analysis, Methodology, Software, Validation, Writing – review & editing

    Affiliation Department of Medical Research, Taiji Clinic, Taipei, Taiwan

  • Peng-Hui Wang,

    Roles Resources, Supervision, Validation, Writing – review & editing

    Affiliations Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan, Department of Obstetrics and Gynecology, Taipei Veterans General Hospital, Taipei, Taiwan, Department of Obstetrics and Gynecology, School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan, Female Cancer Foundation, Taipei, Taiwan, Department of Medical Research, China Medical University Hospital, Taichung, Taiwan

  • Chang-Ching Yeh,

    Roles Conceptualization, Methodology, Resources, Supervision, Validation, Writing – review & editing

    Affiliations Department of Obstetrics and Gynecology, Taipei Veterans General Hospital, Taipei, Taiwan, Department of Obstetrics and Gynecology, School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan

  • Tung-Yao Chang

    Roles Conceptualization, Funding acquisition, Project administration, Supervision, Writing – review & editing

    tychang@fetalmedicine.tw

    Affiliations Department of Medical Research, Taiji Clinic, Taipei, Taiwan, Department of Fetal Medicine, Taiji Clinic, Taipei, Taiwan

Abstract

Background

Shortened cervical length is one of the primary predictors for spontaneous preterm deliveries in twin pregnancies. However, there is lack of consensus regarding cut-off values. Recent evidence highlights that established cut-offs for cervical length screening might not always apply across different populations. This study aims to present the distribution of cervical length in Taiwanese twin pregnancies and to assess its predictive value for spontaneous preterm birth during mid-trimester screening.

Materials and methods

This retrospective analysis of cervical length screening in Taiwan evaluated 469 twin pregnancies between 20–24 weeks of gestation. Outcome data were obtained directly from the medical records of the delivery hospital. The study explored the predictive value of cervical length screening for spontaneous preterm birth and the characteristics of cervical length distribution in Taiwanese twin pregnancies.

Results

The average gestational age at screening was 22.7 weeks. Cervical length values displayed a non-normal distribution (p-value <0.001). The median, 5th and 95th centiles were 37.5 mm 25.1 mm, and 47.9 mm, respectively. Various cut-off values were assessed using different methods, yielding positive [negative] likelihood ratios for spontaneous preterm births between 32–37 weeks of gestational age (GA) (1.3–30.1 and [0.51–0.92]) and for very preterm births between 28–32 weeks GA (5.6–51.1 and [0.45–0.64]).

Conclusions

The findings from our analysis of Taiwanese twin pregnancies uphold the moderate predictive potential of cervical length screening, consistent with prior investigations. The presented likelihood ratios for predicting preterm birth at different gestational ages equip clinicians with valuable tools to enhance their diagnostic rationale and resource utilization. By fine-tuning screening parameters according to the spontaneous preterm birth prevalence and clinical priorities of the particular population, healthcare providers can enhance patient care. Our data implies that a cervical length below 20 mm might provide an optimal balance between minimizing false negatives and managing false positives when predicting spontaneous preterm birth.

Introduction

Despite advancements in medical care, the incidence of preterm delivery (5% to 18%) has not decreased in recent years [1, 2]. Preterm birth (PTB) is known to be associated with high rates of perinatal mortality and morbidity [3], increasing financial burden on health care systems. Twin pregnancies have a PTB rate almost 10 times higher than singletons, with PTB incidence in twins reaching as high as 60% [24].

In singleton pregnant women whose cervices were classified as short at mid-trimester cervical length (CL) screening, risks of spontaneous PTB (sPTB) have shown to increase [57]. Goldenberg et al. screened 147 twin pregnancies and found that a cervical length of ≤ 25 mm at 24 weeks of gestation was the best predictor of sPTB [8]. Over the past 10 years, the association between cervical length in the second trimester and sPTB for twin pregnancies has been described [911]. Researchers have proposed various CL cut-offs for identifying high-risk twin pregnancies: 20 mm [12], 22 mm [13], 25 mm [14], 30 mm [15], and 36 mm [16]. Despite the extensive research on the relationship between CL and sPTB, the best cut-off value for predicting spontaneous preterm birth still lacks consensus. Sisti [17] underlined an ongoing debate over whether using ROC curve analysis or the 5th centile is the best way to determine the optimal cut-off value.

Current screening protocols for predicting sPTB in twin pregnancies are inconsistent in definitions of sPTB, cut-off values of short cervical length, and gestational age (GA) at screening [1823], resulting in varying outcomes. Besides, most studies on cervical length distribution were conducted in Caucasian women [21, 24]. Additional evidence shows that cervical length might differ depending on race or ethnicity [25, 26]. Also, likelihood ratios for different conditions are in desperate need for the improvement of diagnostic reasoning [27, 28]. The main objectives of this study were to provide data regarding the distribution of cervical length in twin pregnancies and to evaluate the predictive value of second-trimester cervical length screening in Taiwan.

Materials and methods

This retrospective cohort study of mid-trimester ultrasound screening in twin pregnancies at a private specialized fetal medicine clinic was conducted between November 2008 and December 2018. Cases were either referred by local obstetricians or self-referred. Medical records were reviewed for information on maternal age, parity, GA at presentation, conception method, and chorionicity.

Cervical length was measured transvaginally and recorded in millimeters (mm) by experienced sonographers at 20–24 weeks GA following guidelines provided by the International Society of Ultrasound in Obstetrics and Gynecology (ISUOG) [29]. Subsequent pregnancy management was at the referring obstetricians’ discretion. Maternal complications and neonatal outcomes were reviewed from the medical records of the delivery hospital. All methods were performed under relevant guidelines and regulations. Given the study’s retrospective nature, research approval and a waiver of patient informed consent were granted by the ethics committee from Taipei Veterans General Hospital (IRB# 2020-02-008BC) under the premise of ensuring patient confidentiality.

We used sPTB at <34 weeks’ gestation as a primary outcome, and sPTB at <28, <32, <37 weeks as secondary outcomes. The sPTB was defined as delivery after preterm premature rupture of membranes or as spontaneous onset of preterm labor (shortening and dilation of the cervix with uterine contractions) [30]. Inclusion criteria were women with viable twin pregnancies who visited our clinic for a mid-trimester anatomical ultrasound examination and received a transvaginal CL measurement between November 2008 and June 2018. Owing to retrospective observational design, the type of delivery (spontaneous/iatrogenic) was known in our sample, as a result, cases who had iatrogenic delivery at < 37 weeks were excluded from the final analysis to avoid over- or underestimation of predictive value. We excluded cases of twin-to-twin transfusion syndrome, monochorionic monoamniotic pregnancies and cases with a cerclage placed before the screening. Patients with incomplete pregnancy data were also excluded. Count (n), percentage (%), mean (), and standard deviation (SD) were reported to describe the study sample. Stratified analysis by delivery before or after 34 weeks of gestation was conducted by Chi-square (X2) or t-test, the same tests were used for supplementary stratified analysis by different interventions. Cervical length distribution was checked for normality using the Kolmogorov-Smirnov test. The alpha significance level was set a priori for two-tailed p-value at <0.05. We employed univariate logistic regression to assess the relationship between sPTB at GA<34 weeks and cervical length at 20–24 weeks of gestation. Due to the limitations of retrospective study design and inclusion of the cases who underwent preventative and therapeutic measures (progesterone, cerclage, tocolytics), we also conducted multivariable logistic regression adjusting for possible confounding factors, including the above mentioned interventions, maternal characteristics (age, parity, conception method), and current pregnancy characteristics (gestational diabetes, preeclampsia, PPROM, chorionicity, mode of delivery, presence of funneling). The receiver operating characteristics (ROC) curve was used to evaluate the diagnostic ability of cervical length to predict sPTB at GA <37, <34, <32, and <28 weeks. To provide data on predictive value, we reported sensitivity, specificity, positive/negative predictive value (PPV/NPV), positive/negative likelihood ratio (LR+/LR-), false positive rate (FPR≈1-Specificity), false negative rate (FNR≈1-NPV) and accuracy for chosen cut-offs (based on 5th, 10th centile, Youden’s index = (Sensitivity+Specificity-1), and F1-score = () values) to predict sPTB at < 28, 32, 34, and 37 weeks of gestation. Youden’s index and F1-score values range between 0 and 1, where Youden’s index = 1 suggests that the test produced no false positives or false negatives, and F1-score = 1 indicates perfect precision and recall. The likelihood ratios imply how much a test result will raise or lower the pretest probability. While likelihood ratio of 1 suggests that the posttest probability equals to pretest probability, LR+ above 1 suggests an increase in posttest probability and LR- below 1 suggests a decrease in posttest probability. The greater the LR+ and the smaller the LR-, the more apparent is the change in posttest probability [31]. Data were analyzed by R (version 1.2.5033, Rstudio Inc.).

Results

Study sample characteristics

In total, 469 twin pregnancies met the inclusion criteria for this retrospective cohort study (Table 1). The mean maternal age was 34 years, with approximately one-third of the participants being over 35 years old. Nulliparous women accounted for 75.3% of the sample, and 70.1% of the pregnancies were conceived using assisted reproductive technologies (ART), including 11.9% by intrauterine insemination (IUI) and 58.2% by in vitro fertilization (IVF). Most pregnancies (85.7%) were dichorionic diamniotic (DCDA) twins, while 14.3% were monochorionic diamniotic (MCDA) twins. Progesterone treatment was received by 40% of the women during pregnancy (as a part of ART protocol or as a preventative measure for sPTB), and tocolytics were administered to approximately 33% of the participants. PPROM occurred in 22.6% of cases. A total of 164 women (35%) delivered prematurely, with 67.1% of those sPTBs occurring between 34 and 37 weeks of gestation. Cesarean section was the most common mode of delivery, accounting for 90.4% of cases. The stratified analysis by delivery before or after 34 weeks of gestation showed a significant difference (p-value = 0.009) in the rate of sPTB at <34 weeks for dichorionic and monochorionic pregnancies. Mean CL significantly differed between groups (p-value < 0.001), with measurements of 38.1 ± 6.3 mm for those born >34 weeks and 29.6 ± 13 mm for those born preterm. The presence of funneling was also associated with higher rates of sPTB at <34 weeks (p-value < 0.001). Cases requiring interventions in the form of tocolysis (p-value < 0.001) or cerclage (p-value = 0.009) had higher rates of sPTB. Nearly 65% (n = 106) of the study sample who delivered prematurely experienced PPROM.

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Table 1. Descriptive statistics of the study sample (n = 469) and comparison between those who had spontaneous delivery before and after 34 weeks of gestation.

https://doi.org/10.1371/journal.pone.0292533.t001

Cervical length distribution

The distribution of the cervical length at 20–24 weeks of gestation had a mean of 37.1 mm and a standard deviation of 7.8 mm (Fig 1). According to the Kolmogorov-Smirnov test (p-value <0.001), cervical length measurements did not follow a normal distribution. The distribution exhibited left skewness (-1.41, p-value<0.001) and kurtosis of 4.8. The median cervical length measurement was 37.5 mm, ranging from 0 to 58.3 mm. The mean gestational age at transvaginal cervical length screening was 22+5 weeks. The 5th and 95th centiles were 25.1 mm and 47.9 mm, respectively (Table 2).

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Fig 1. Distribution of cervical length in the study group at 20–24 weeks of gestation.

Median = 37.5 mm (dashed line).

https://doi.org/10.1371/journal.pone.0292533.g001

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Table 2. Commonly used percentiles for cervical length (mm).

https://doi.org/10.1371/journal.pone.0292533.t002

Association between cervical length and rate of spontaneous preterm birth

Univariate logistic regression analysis (Table 3) revealed that each 1 mm increase in cervical length measurement was associated with an 11% decrease in the odds of spontaneous preterm birth at <34 weeks of gestation (Model 1, OR = 0.89, 95% CI: 0.86–0.92, p-value < 0.001). This association remained significant even after adjusting for possible confounding factors, such as interventions (Model 2), maternal characteristics (Model 3), and current pregnancy characteristics (Model 4, adjusted odds ratio = 0.92, 95% CI: 0.87–0.97, p-value = 0.001).

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Table 3. Results of univariate and multivariable logistic regression models for prediction of spontaneous preterm birth before 34 weeks in twin gestation (n = 469).

https://doi.org/10.1371/journal.pone.0292533.t003

Fig 2 visually depicts an inverse relationship between measured cervical length and the risk of spontaneous delivery prior to 34th week of gestation. Notably, those women with cervical length measurements above 40 mm had a preterm birth rate about 6%. Conversely, those with cervical length measurements below 10 mm had a preterm birth rate of approximately 75%.

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Fig 2. Rate of spontaneous deliveries before 34 weeks and 95% confidence intervals according to cervical lengths measured at 20–24 weeks of gestation.

95% Confidence interval (Dashed line with round end cap).

https://doi.org/10.1371/journal.pone.0292533.g002

Predictive value of cervical length screening

ROC curves showcased the moderate predictive value of cervical length screening, with the area under the curve (AUC) ranging from 0.65 for predicting sPTB at <37 weeks to AUC = 0.78 at <28 weeks (Fig 3). Various cut-off values were evaluated, including those derived by Youden’s index, the 5th centile, the 10th centile, F1-score, and an a-priori cut-off of 20 mm based on a meta-analysis [10]. Values for sensitivity, specificity, NPV, PPV, LR+, LR-, FPR, and FNR are also shown in Table 4.

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Fig 3. Receiver–operating characteristics (ROC) curve analysis showing the sensitivity and false-positive rate (1 − specificity) for spontaneous delivery before 28, 32, 34, 37 weeks at different cut-off levels of the cervical length during second trimester screening.

sPTB–spontaneous preterm birth; AUC—area under the curve.

https://doi.org/10.1371/journal.pone.0292533.g003

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Table 4. Cervical length screening performance for preterm birth prediction in twin pregnancy.

https://doi.org/10.1371/journal.pone.0292533.t004

To explore the potential improvement of the predictive value for the cut-offs outlined in Table 4, we conducted a comparative analysis involving different combinations of cervical length measurements along with chorionicity and funneling. These two characteristics were identified as independent predictors of sPTB at <34 weeks in Table 1. Building on the framework established in Table 4 and aiming to ensure comparability with previous studies [10, 15, 16], we selected cervical length cut-off values of 20 mm (approximating Youden’s index and F1-score cut-offs for 28 and 32 weeks), 25 mm (approximating the 5th centile in our study), and 30 mm (approximating our 10th centile). The findings are presented in Table 5.

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Table 5. Cervical length measurement, funneling and chorionicity combined performance for spontaneous preterm birth prediction in twin pregnancy.

https://doi.org/10.1371/journal.pone.0292533.t005

The results revealed that the adding extra factors to the screening process moderately impacted both false negative and false positive rates. When relatively loosened criteria (e.g., a positive result indicating either a short cervix, a monochorionic pregnancy, or funneling) were applied, only a slight improvement in the false negative rate was observed. However, this also led to a noticeable increase in the false positive rate compared to using cervical length as a sole criterion. Alternatively, by applying stricter criteria (e.g., a positive test meant both a of short cervical length and funneling were present), we saw a slight improvement in the false positive rates compared to using just cervical length as the sole criterion.

Discussion

We retrospectively reviewed a cohort of 469 Taiwanese twin pregnancies. Short cervical length was significantly associated with spontaneous preterm deliveries, albeit with moderate predictive capability. Our ROC analysis revealed that cervical screening had the best predictive value for spontaneous preterm birth at <28 weeks. Cervical length in combination with other predictors, such as funneling and monochorionicity, provided additional details for decision-making. The major strength of the current study is its extended study period and a large cohort of Taiwanese twin pregnancies.

Similar to a large meta-analysis, our study confirmed that cervical length screening had the highest AUC for predicting spontaneous preterm birth at <28 weeks, with a decrease in predictive accuracy observed at higher gestational age at birth [10]. Being in line with those reported in other studies [16, 23, 32], our AUC values were moderate, suggesting that although cervical length screening is helpful in predicting spontaneous preterm birth, there are still some limitations to be addressed. Most importantly, the screening test was more effective at identifying high-risk cases rather than ruling out lower-risk ones. Although some authors underlined the ability of cervical length screening to identify lower-risk cases due to high negative predictive value [14], our results illustrate the limited ability of cervical length screening to rule out sPTB in twins. High negative likelihood ratios indicate that a cervical length measurement above the cut-off does not significantly change the pretest probability, thereby not sufficient to exclude the subsequent development of sPTB.

Conversely, we could identify a very high-risk group for sPTB by utilizing cervical length screening, as shown in Fig 2, those women with cervical length measurements below 10 mm had a rate of sPTB at <34 weeks as high as 75%. Timely identification of high-risk group allows for earlier intervention and more preventative pregnancy management. To date, the literature regarding preventive strategies is inconclusive, although there are studies supporting universal cervical length mid-pregnancy screening and consequent vaginal progesterone therapy for high-risk twin pregnancies [33, 34], as well as cerclage placement in those with cervical length shorter than 15 mm [35, 36].

Besides, our study suggested that a cervical length cut-off value of 20 mm had the highest LR+ for prediction of sPTB at all gestational ages at birth, except for <28 weeks, where the cut-off of 10.4 mm demonstrated the highest LR+. These findings align with a meta-analysis that also supported a cut-off point at 20 mm [10]. We further explored the predictive value of adding funneling and chorionicity to the screening process. Our results were consistent with previous studies, indicating that funneling is a significant predictor of sPTB in twin pregnancies [15, 37, 38]. Additionally, the results were in line with those studies suggesting that monochorionicity is significantly associated with spontaneous preterm birth [39].

Current cervical length screening protocol, however, demonstrated only moderate predictive value even when taking into consideration funneling and monochorionicity, as evident from the results presented in Table 5. This observation suggests the existence of unknown pathogenetic mechanisms specific to multiple pregnancies in the spontaneous onset of preterm birth [40, 41]. Further research into the mechanisms of sPTB in twins is warranted. Understanding the pathogenesis could inspire the development of new screening tests for sPTB in twins with enhanced predictive value. Such improvement is essential for better allocation of healthcare resources, potentially reducing unnecessary interventions and stress for expectant mothers [14, 42, 43], while focusing on higher-risk cases to shorten the length of hospital stays and prevent severe adverse outcomes. The likelihood ratios provided in this study might support the integration of Bayesian reasoning into clinical practice and medical education [27, 28].

There are some important limitations of this study. First, its retrospective nature implies that data were collected for purposes other than research. As a result, we were unable to ascertain variables and outcomes such as shape and degree of funneling, the exact dosage and methods of administering progesterone, tocolytics, information about hospitalization, and surgical techniques for cerclage placement. These factors should be considered in future prospective cervical length and spontaneous preterm birth risk research. Second, a high rate of cesarean section (~90%) was reported in our sample, but it is consistent with a trend for multiple pregnancies in East Asian countries with similar economies [4448]. Third, the analysis included pregnancies with potential confounding factors. Often those cases who underwent cerclage, progesterone, or tocolytic treatment are excluded from the analysis, even though they represent the pregnancies with the highest risk for sPTB. The logistic regression analysis adjusting for interventions, maternal, and pregnancy characteristics suggests that despite the effect of those confounders on the correlation between cervical length and sPTB, cervical length remained a significant predictor for spontaneous preterm birth in twin pregnancies. We thus decided to include these potentially confounding cases in our sample. Although this method is imperfect, those confounders might have reduced the predictive value of cervical length. To further account for multiple interventions, we provided a table comparing groups that received cerclage, progesterone, or tocolytics as a supporting material (S1 Table), those receiving cervical cerclage (n = 7) had significantly shorter cervical length and more frequently had funneling compared to the total sample. As for the progesterone group, a significantly higher rate of IVF pregnancies compared to the total sample should be noted (p-value<0.001). It can be a result of the fact, that often progesterone is administered as a part of IVF protocol. On the other hand, both multivariable regression and S1 Table point out that tocolysis was associated with an earlier gestational age of delivery. Frequently, tocolytic agents are administered in twin pregnancies with signs of early onset of labor and the main purpose is to complete a course of corticosteroids for lung maturation, not to stop preterm labor [49]. And lastly, our clinic is a private center in Taipei City, which might affect the generalizability of our findings. However, twin pregnancies are often resulting from artificial reproductive technologies, and being high-risk, they tend to be referred or seek care outside of public health care settings. Therefore, our sample might not differ from the general population of twin pregnancies in Taiwan.

In conclusion, our results suggest that the cervical length distribution was similar to that of Caucasian twin pregnancy studies, and had a greater negative skew compared to cervical length distribution in Taiwanese singletons. We provide likelihood ratios as a tool for improving decision-making and pregnancy management. While our data enables clinicians to choose optimal screening parameters based on their goals and the prevalence of preterm birth in the specific population, we found that cut-off at 20 mm showed a reasonable balance between false negatives and positives in predicting spontaneous preterm birth. Adequate risk identification allows for appropriate pregnancy management, better allocation of healthcare resources, and a reduction in unnecessary stress for falsely identified high-risk cases.

Supporting information

S1 Table. Comparison between groups received intervention.

The table containing stratified analysis by intervention (cerclage, progesterone, tocolysis).

https://doi.org/10.1371/journal.pone.0292533.s001

(XLSX)

References

  1. 1. Blencowe H, Cousens S, Oestergaard MZ, Chou D, Moller A-B, Narwal R, et al. National, regional, and worldwide estimates of preterm birth rates in the year 2010 with time trends since 1990 for selected countries: a systematic analysis and implications. Lancet Lond Engl. 2012;379: 2162–2172. pmid:22682464
  2. 2. Osterman MJK, Hamilton BE, Martin JA, Driscoll AK, Valenzuela CP. Births: Final Data for 2021. Natl Vital Stat Rep Cent Dis Control Prev Natl Cent Health Stat Natl Vital Stat Syst. 2023;72: 1–53. pmid:36723449
  3. 3. Manuck TA, Rice MM, Bailit JL, Grobman WA, Reddy UM, Wapner RJ, et al. Preterm neonatal morbidity and mortality by gestational age: a contemporary cohort. Am J Obstet Gynecol. 2016;215: 103.e1–103.e14. pmid:26772790
  4. 4. Chauhan SP, Scardo JA, Hayes E, Abuhamad AZ, Berghella V. Twins: prevalence, problems, and preterm births. Am J Obstet Gynecol. 2010;203: 305–315. pmid:20728073
  5. 5. Iams JD, Goldenberg RL, Meis PJ, Mercer BM, Moawad A, Das A, et al. The Length of the Cervix and the Risk of Spontaneous Premature Delivery. N Engl J Med. 1996;334: 567–573. pmid:8569824
  6. 6. Heath VCF, Southall TR, Souka AP, Elisseou A, Nicolaides KH. Cervical length at 23 weeks of gestation: prediction of spontaneous preterm delivery. Ultrasound Obstet Gynecol. 1998;12: 312–317. pmid:9819868
  7. 7. Berghella V, Roman A, Daskalakis C, Ness A, Baxter JK. Gestational age at cervical length measurement and incidence of preterm birth. Obstet Gynecol. 2007;110: 311–317. pmid:17666605
  8. 8. Goldenberg RL, Iams JD, Miodovnik M, Van Dorsten JP, Thurnau G, Bottoms S, et al. The preterm prediction study: risk factors in twin gestations. National Institute of Child Health and Human Development Maternal-Fetal Medicine Units Network. Am J Obstet Gynecol. 1996;175: 1047–1053. pmid:8885774
  9. 9. Lim AC, Hegeman MA, Veld MAHI ‘ T, Opmeer BC, Bruinse HW, Mol BWJ. Cervical length measurement for the prediction of preterm birth in multiple pregnancies: a systematic review and bivariate meta-analysis. Ultrasound Obstet Gynecol. 2011;38: 10–17. pmid:21465606
  10. 10. Conde-Agudelo A, Romero R, Hassan SS, Yeo L. Transvaginal sonographic cervical length for the prediction of spontaneous preterm birth in twin pregnancies: a systematic review and metaanalysis. Am J Obstet Gynecol. 2010;203: 128.e1–128.e12. pmid:20576253
  11. 11. Skentou C, Souka AP, To MS, Liao AW, Nicolaides KH. Prediction of preterm delivery in twins by cervical assessment at 23 weeks. Ultrasound Obstet Gynecol. 2001;17: 7–10. pmid:11244660
  12. 12. Guzman ER, Walters C, O’Reilly-Green C, Kinzler WL, Waldron R, Nigam J, et al. Use of cervical ultrasonography in prediction of spontaneous preterm birth in twin gestations. Am J Obstet Gynecol. 2000;183: 1103–1107. pmid:11084549
  13. 13. Gibson JL, Macara LM, Owen P, Young D, Macauley J, Mackenzie F. Prediction of preterm delivery in twin pregnancy: a prospective, observational study of cervical length and fetal fibronectin testing. Ultrasound Obstet Gynecol Off J Int Soc Ultrasound Obstet Gynecol. 2004;23: 561–566. pmid:15170796
  14. 14. Sperling L, Kiil C, Larsen LU, Qvist I, Bach D, Wøjdemann K, et al. How to identify twins at low risk of spontaneous preterm delivery. Ultrasound Obstet Gynecol Off J Int Soc Ultrasound Obstet Gynecol. 2005;26: 138–144. pmid:16038015
  15. 15. Yang JH, Kuhlman K, Daly S, Berghella V. Prediction of preterm birth by second trimester cervical sonography in twin pregnancies. Ultrasound Obstet Gynecol Off J Int Soc Ultrasound Obstet Gynecol. 2000;15: 288–291. pmid:10895446
  16. 16. Pagani G, Stagnati V, Fichera A, Prefumo F. Cervical length at mid-gestation in screening for preterm birth in twin pregnancy. Ultrasound Obstet Gynecol Off J Int Soc Ultrasound Obstet Gynecol. 2016;48: 56–60. pmid:26250480
  17. 17. Sisti G. Cervical length cut-off in twin pregnancy and preterm labor risk assessment algorithm: call for action. Am J Obstet Gynecol. 2017;217: 233–234. pmid:28502750
  18. 18. Fox NS, Rebarber A, Klauser CK, Peress D, Gutierrez CV, Saltzman DH. Prediction of spontaneous preterm birth in asymptomatic twin pregnancies using the change in cervical length over time. Am J Obstet Gynecol. 2010;202: 155.e1–4. pmid:19846054
  19. 19. Klein K, Gregor H, Hirtenlehner-Ferber K, Stammler-Safar M, Witt A, Hanslik A, et al. Prediction of spontaneous preterm delivery in twin pregnancies by cervical length at mid-gestation. Twin Res Hum Genet Off J Int Soc Twin Stud. 2008;11: 552–557. pmid:18828739
  20. 20. Ehsanipoor RM, Haydon ML, Lyons Gaffaney C, Jolley JA, Petersen R, Lagrew DC, et al. Gestational age at cervical length measurement and preterm birth in twins. Ultrasound Obstet Gynecol Off J Int Soc Ultrasound Obstet Gynecol. 2012;40: 81–86. pmid:22045546
  21. 21. Kindinger LM, Poon LC, Cacciatore S, MacIntyre DA, Fox NS, Schuit E, et al. The effect of gestational age and cervical length measurements in the prediction of spontaneous preterm birth in twin pregnancies: an individual patient level meta-analysis. BJOG Int J Obstet Gynaecol. 2016;123: 877–884. pmid:26333191
  22. 22. Moroz LA, Brock CO, Govindappagari S, Johnson DL, Leopold BH, Gyamfi-Bannerman C. Association between change in cervical length and spontaneous preterm birth in twin pregnancies. Am J Obstet Gynecol. 2017;216: 159.e1–159.e7. pmid:27729253
  23. 23. Pasquini L, Sisti G, Nasioudis D, Kanninen T, Sorbi F, Fambrini M, et al. Ability of cervical length to predict spontaneous preterm delivery in twin pregnancies using the receiver-operating characteristic curve analysis and an a priori cut-off value. J Obstet Gynaecol. 2017;37: 562–565. pmid:28141949
  24. 24. Kuusela P, Jacobsson B, Hagberg H, Fadl H, Lindgren P, Wesström J, et al. Second-trimester transvaginal ultrasound measurement of cervical length for prediction of preterm birth: a blinded prospective multicentre diagnostic accuracy study. BJOG Int J Obstet Gynaecol. 2021;128: 195–206. pmid:32964581
  25. 25. Bortoletto TG, Silva TV, Borovac-Pinheiro A, Pereira CM, Silva AD, França MS, et al. Cervical length varies considering different populations and gestational outcomes: Results from a systematic review and meta-analysis. PLOS ONE. 2021;16: e0245746. pmid:33592005
  26. 26. Soffer MD, Naqvi M, Melka S, Gottlieb A, Romero J, Fox NS. The association between maternal race and adverse outcomes in twin pregnancies with similar healthcare access. J Matern-Fetal Neonatal Med Off J Eur Assoc Perinat Med Fed Asia Ocean Perinat Soc Int Soc Perinat Obstet. 2018;31: 2424–2428. pmid:28629273
  27. 27. Kinnear B, Hagedorn PA, Kelleher M, Ohlinger C, Tolentino J. Integrating Bayesian reasoning into medical education using smartphone apps. Diagnosis. 2019;6: 85–89. pmid:30817298
  28. 28. Charow R, Jeyakumar T, Younus S, Dolatabadi E, Salhia M, Al-Mouaswas D, et al. Artificial Intelligence Education Programs for Health Care Professionals: Scoping Review. JMIR Med Educ. 2021;7: e31043. pmid:34898458
  29. 29. Kagan KO, Sonek J. How to measure cervical length. Ultrasound Obstet Gynecol. 2015;45: 358–362. pmid:25632014
  30. 30. Chen X, Zhang X, Li W, Li W, Wang Y, Zhang S, et al. Iatrogenic vs. Spontaneous Preterm Birth: A Retrospective Study of Neonatal Outcome Among Very Preterm Infants. Front Neurol. 2021;12. pmid:33833733
  31. 31. Jaeschke R, Guyatt GH, Sackett DL, Guyatt G, Bass E, Brill-Edwards P, et al. Users’ Guides to the Medical Literature: III. How to Use an Article About a Diagnostic Test B. What Are the Results and Will They Help Me in Caring for My Patients? JAMA. 1994;271: 703–707.
  32. 32. Honest H, Bachmann LM, Coomarasamy A, Gupta JK, Kleijnen J, Khan KS. Accuracy of cervical transvaginal sonography in predicting preterm birth: a systematic review. Ultrasound Obstet Gynecol. 2003;22: 305–322. pmid:12942506
  33. 33. Souka AP, Papastefanou I, Pilalis A, Kassanos D, Papadopoulos G. Implementation of universal screening for preterm delivery by mid-trimester cervical-length measurement. Ultrasound Obstet Gynecol. 2019;53: 396–401. pmid:29536576
  34. 34. Romero R, Conde-Agudelo A, El-Refaie W, Rode L, Brizot ML, Cetingoz E, et al. Vaginal progesterone decreases preterm birth and neonatal morbidity and mortality in women with a twin gestation and a short cervix: an updated meta-analysis of individual patient data. Ultrasound Obstet Gynecol. 2017;49: 303–314. pmid:28067007
  35. 35. Wu F-T, Chen Y-Y, Chen C-P, Sun F-J, Chen C-Y. Outcomes of ultrasound-indicated cerclage in twin pregnancies with a short cervical length. Taiwan J Obstet Gynecol. 2020;59: 508–513. pmid:32653121
  36. 36. Liu Y, Chen M, Cao T, Zeng S, Chen R, Liu X. Cervical cerclage in twin pregnancies: An updated systematic review and meta-analysis. Eur J Obstet Gynecol Reprod Biol. 2021;260: 137–149. pmid:33773260
  37. 37. Vayssière C, Favre R, Audibert F, Chauvet MP, Gaucherand P, Tardif D, et al. Cervical length and funneling at 22 and 27 weeks to predict spontaneous birth before 32 weeks in twin pregnancies: a French prospective multicenter study. Am J Obstet Gynecol. 2002;187: 1596–1604. pmid:12501070
  38. 38. Nooshin E, Mahdiss M, Maryam R, Amineh S-N, Somayyeh NT. Prediction of Preterm Delivery by Ultrasound Measurement of Cervical Length and Funneling Changes of the Cervix in Pregnant Women with Preterm Labor at 28–34 weeks of Gestation. J Med Life. 2020;13: 536–542. pmid:33456603
  39. 39. Marleen S, Dias C, Nandasena R, MacGregor R, Allotey J, Aquilina J, et al. Association between chorionicity and preterm birth in twin pregnancies: a systematic review involving 29 864 twin pregnancies. BJOG Int J Obstet Gynaecol. 2021;128: 788–796. pmid:32888235
  40. 40. Zhang J, Zhan W, Lin Y, Yang D, Li L, Xue X, et al. Development and external validation of a nomogram for predicting preterm birth at < 32 weeks in twin pregnancy. Sci Rep. 2021;11: 12430. pmid:34127744
  41. 41. Tingleff T, Räisänen S, Vikanes Å, Sandvik L, Sugulle M, Murzakanova G, et al. Different pathways for preterm birth between singleton and twin pregnancies: a population-based registry study of 481 176 nulliparous women. BJOG Int J Obstet Gynaecol. 2023;130: 387–395. pmid:36372962
  42. 42. Werner EF, Hamel MS, Orzechowski K, Berghella V, Thung SF. Cost-effectiveness of transvaginal ultrasound cervical length screening in singletons without a prior preterm birth: an update. Am J Obstet Gynecol. 2015;213: 554.e1–554.e6. pmid:26071914
  43. 43. Hung H-Y, Su P-F, Wu M-H, Chang Y-J. Status and related factors of depression, perceived stress, and distress of women at home rest with threatened preterm labor and women with healthy pregnancy in Taiwan. J Affect Disord. 2021;280: 156–166. pmid:33212407
  44. 44. Chen J, Shen H, Chen YT, Chen C-H, Lee K-H, Torng P-L. Experience in different modes of delivery in twin pregnancy. PLOS ONE. 2022;17: e0265180. pmid:35275972
  45. 45. Kim S, Song E, Park YH, Cho A, Choe K, Kim HJ, et al. Association between cesarean section rate and maternal age in twin pregnancies. J Perinat Med. 2022;50: 438–445. pmid:35106987
  46. 46. Maeda E, Ishihara O, Tomio J, Miura H, Kobayashi Y, Terada Y, et al. Cesarean delivery rates for overall and multiple pregnancies in Japan: A descriptive study using nationwide health insurance claims data. J Obstet Gynaecol Res. 2021;47: 2099–2109. pmid:33779012
  47. 47. Wong CKY, Kong CW, To WWK. Trends in Caesarean section rates for twin pregnancies: a 20-year cohort study. Hong Kong J Gynaecol Obstet Midwifery. 2019;19: 96.
  48. 48. Liu T-C, Chen C-S, Tsai Y-W, Lin H-C. Taiwan’s high rate of cesarean births: impacts of national health insurance and fetal gender preference. Birth Berkeley Calif. 2007;34: 115–122. pmid:17542815
  49. 49. Murray SR, Stock SJ, Cowan S, Cooper ES, Norman JE. Spontaneous preterm birth prevention in multiple pregnancy. Obstet Gynaecol. 2018;20: 57–63. pmid:30008614