Prediction Models for Obstetric Anal Sphincter Injuries (OASIS): A Systematic Review and Critical Appraisal

IF 4.3 1区 医学 Q1 OBSTETRICS & GYNECOLOGY
Ellen S. Mooren, Jeroen van Bavel, Anita C. J. Ravelli, Jan Willem de Leeuw
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引用次数: 0

Abstract

Background

Obstetric anal sphincter injuries (OASIS) are complications with a risk of maternal morbidity. To estimate the individual risk of OASIS, prediction models have been developed.

Objectives

Identifying studies on development and validation of prediction models for OASIS, with a critical assessment of methodology and clinical applicability.

Search Strategy

This systematic review was performed following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and the CHecklist for Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies (CHARMS). PubMed, Embase, Cochrane Library and Scopus were searched up to 26 June 2024.

Selection Criteria

Studies with description of model performance used for the development of prediction models.

Data Collection and Analysis

Data extraction and assessment were performed by two independent researchers. The Prediction model Risk of Bias Assessment Tool (PROBAST) was used to assess risk of bias and applicability.

Main Results

Of the 855 retrieved papers, 16 papers with 25 prediction models for OASIS were included. In these models, 2 to 15 variables were used. Model discrimination ranged from 0.64 to 0.83. All studies had shortcomings, particularly because of small or non-generalisable cohorts and were at risk of bias. Nine studies were of concern regarding clinical applicability. There were no geographical external validation studies of the 25 pre-existing models.

Conclusions

The included prediction models for OASIS were of low or moderate quality and not applicable for use in clinical care yet. Future studies should focus on developing models based on larger generalisable multicentre cohorts, with clinically applicable predictors and with internal and external validation.

Abstract Image

产科肛门括约肌损伤(OASIS)的预测模型:系统回顾和关键评价
背景:产科肛门括约肌损伤(OASIS)是一种具有产妇发病风险的并发症。为了估计绿洲的个体风险,已经建立了预测模型。目的:确定OASIS预测模型的开发和验证研究,并对方法和临床适用性进行批判性评估。检索策略本系统评价遵循系统评价和Meta分析首选报告项目(PRISMA)指南和预测模型研究系统评价关键评估和数据提取清单(CHARMS)进行。检索截止到2024年6月26日的PubMed、Embase、Cochrane Library和Scopus。选择标准用于开发预测模型的模型性能描述研究。数据收集和分析数据提取和评估由两名独立的研究人员进行。采用预测模型偏倚风险评估工具(PROBAST)评估偏倚风险和适用性。在检索到的855篇论文中,共纳入16篇论文和25个OASIS预测模型。在这些模型中,使用了2到15个变量。模型判别范围为0.64 ~ 0.83。所有的研究都有不足之处,特别是因为研究对象规模小或不可推广,存在偏倚风险。9项研究关注临床适用性。没有对25个预先存在的模型进行地理外部验证研究。结论所纳入的OASIS预测模型质量较低或中等,尚不适合临床应用。未来的研究应侧重于建立基于更大的可推广的多中心队列的模型,具有临床适用的预测因子,并具有内部和外部验证。
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来源期刊
CiteScore
10.90
自引率
5.20%
发文量
345
审稿时长
3-6 weeks
期刊介绍: BJOG is an editorially independent publication owned by the Royal College of Obstetricians and Gynaecologists (RCOG). The Journal publishes original, peer-reviewed work in all areas of obstetrics and gynaecology, including contraception, urogynaecology, fertility, oncology and clinical practice. Its aim is to publish the highest quality medical research in women''s health, worldwide.
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