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Surgical Algorithms in Rhinoplasty: A Scoping Review of the Current Status

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  • Rhinoplasty
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A Correction to this article was published on 16 June 2021

This article has been updated

Abstract

Background

Algorithms define a sequence to approaching a subject. This study represents a scoping review seeking to define the role of surgical algorithms in rhinoplasty.

Methods

A scoping review was conducted. Pubmed/MEDLINE, Web of Science, and Google Scholar, as well as a citation searching was performed to find eligible studies for review. Eligibility criteria included studies published in English, human subjects ≥ 15 years old, and all included surgical algorithms were for primary cosmetic rhinoplasty.

Results

In total, 514 studies included the key search terms. Thirty-nine studies were evaluated for data extraction. The majority of the algorithms were from USA-based publications (22/39). Flow-chart type algorithm was used in 23 and text-based algorithms in 15 of the 39 studies. Algorithms related to tip shape and/or position were most frequent (19/39), followed by those for crooked nose and dorsal height. Only 7 of the algorithms described outcomes for utilizing the algorithm.

Conclusions

Very few surgical algorithms have been published for cosmetic rhinoplasty. A minority of these studies have published outcomes. This study provides a description and summary of these algorithms and also shows that future studies could be done to further develop surgical algorithms for rhinoplasty and evaluate outcomes.

Level of Evidence III

This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors http://www.springer.com

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Acknowledgements

The authors would like to express their sincere gratitude to Esther May B. Sarino, MLIS, from Brickell Medical Sciences Library, Eastern Virginia Medical School, Norfolk, VA, U.S.A. for her kind support of this project.

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Authors and Affiliations

  1. Department of Otolaryngology, Istanbul Florence Nightingale Hospital, Abide-i Hürriyet Caddesi, No: 166, Şişli, Istanbul, Turkey

    M. Mazhar Çelikoyar

  2. Department of Computer Sciences, Florida Polytechnic University, Lakeland, FL, 33805, USA

    Brandon Nickas & Oguzhan Topsakal

  3. Department of Otolaryngology, Eastern Virginia Medical School, Norfolk, VA, 23507, USA

    Eric Dobratz

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  1. M. Mazhar Çelikoyar
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Correspondence to M. Mazhar Çelikoyar.

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The original online version of this article was revised: This article was updated to remove affiliation 4, to correct Oguzhan Topsakal’s name, to correct blinded information in the materials section, to correct Reference 6, and to update the number of articles that were excluded after full-text evaluation (16 in place of 21) in Fig. 1

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Çelikoyar, M.M., Nickas, B., Dobratz, E. et al. Surgical Algorithms in Rhinoplasty: A Scoping Review of the Current Status. Aesth Plast Surg 45, 2869–2877 (2021). https://doi.org/10.1007/s00266-021-02337-w

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