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抑郁症筛查工具准确性的Meta分析摘要中的报告质量:系统评价和Meta分析综述

Reporting quality in abstracts of meta-analyses of depression screening tool accuracy: a review of systematic reviews and meta-analyses.

作者信息

Rice Danielle B, Kloda Lorie A, Shrier Ian, Thombs Brett D

机构信息

Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada.

Department of Psychiatry, McGill University, Montréal, Québec, Canada.

出版信息

BMJ Open. 2016 Nov 18;6(11):e012867. doi: 10.1136/bmjopen-2016-012867.

Abstract

OBJECTIVE

Concerns have been raised regarding the quality and completeness of abstract reporting in evidence reviews, but this had not been evaluated in meta-analyses of diagnostic accuracy. Our objective was to evaluate reporting quality and completeness in abstracts of systematic reviews with meta-analyses of depression screening tool accuracy, using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) for Abstracts tool.

DESIGN

Cross-sectional study.

INCLUSION CRITERIA

We searched MEDLINE and PsycINFO from 1 January 2005 through 13 March 2016 for recent systematic reviews with meta-analyses in any language that compared a depression screening tool to a diagnosis based on clinical or validated diagnostic interview.

DATA EXTRACTION

Two reviewers independently assessed quality and completeness of abstract reporting using the PRISMA for Abstracts tool with appropriate adaptations made for studies of diagnostic test accuracy. Bivariate associations of number of PRISMA for Abstracts items complied with (1) journal abstract word limit and (2) A Measurement Tool to Assess Systematic Reviews (AMSTAR) scores of meta-analyses were also assessed.

RESULTS

We identified 21 eligible meta-analyses. Only two of 21 included meta-analyses complied with at least half of adapted PRISMA for Abstracts items. The majority met criteria for reporting an appropriate title (95%), result interpretation (95%) and synthesis of results (76%). Meta-analyses less consistently reported databases searched (43%), associated search dates (33%) and strengths and limitations of evidence (19%). Most meta-analyses did not adequately report a clinically meaningful description of outcomes (14%), risk of bias (14%), included study characteristics (10%), study eligibility criteria (5%), registration information (5%), clear objectives (0%), report eligibility criteria (0%) or funding (0%). Overall meta-analyses quality scores were significantly associated with the number of PRISMA for Abstracts scores items reported adequately (r=0.45).

CONCLUSIONS

Quality and completeness of reporting were found to be suboptimal. Journal editors should endorse PRISMA for Abstracts and allow for flexibility in abstract word counts to improve quality of abstracts.

摘要

目的

人们对证据综述中摘要报告的质量和完整性提出了担忧,但在诊断准确性的荟萃分析中尚未对此进行评估。我们的目的是使用系统评价和荟萃分析的首选报告项目(PRISMA)摘要工具,评估抑郁症筛查工具准确性的系统评价荟萃分析摘要中的报告质量和完整性。

设计

横断面研究。

纳入标准

我们检索了2005年1月1日至2016年3月13日期间的MEDLINE和PsycINFO数据库,以查找近期以任何语言发表的系统评价荟萃分析,这些分析将抑郁症筛查工具与基于临床或经过验证的诊断访谈的诊断进行了比较。

数据提取

两名审阅者使用PRISMA摘要工具独立评估摘要报告的质量和完整性,并针对诊断测试准确性研究进行了适当调整。还评估了符合PRISMA摘要项目数量与(1)期刊摘要字数限制和(2)荟萃分析的系统评价评估测量工具(AMSTAR)分数之间的双变量关联。

结果

我们确定了21项合格的荟萃分析。21项纳入的荟萃分析中只有两项符合至少一半经改编的PRISMA摘要项目。大多数符合报告适当标题(95%)、结果解释(95%)和结果综合(76%)的标准。荟萃分析在报告检索的数据库(43%)、相关检索日期(33%)以及证据的优势和局限性(19%)方面不太一致。大多数荟萃分析没有充分报告结局的临床有意义描述(14%)、偏倚风险(14%)、纳入研究特征(10%)、研究纳入标准(5%)、注册信息(5%)、明确目标(0%)、报告纳入标准(0%)或资金(0%)。总体荟萃分析质量得分与充分报告的PRISMA摘要得分项目数量显著相关(r = 0.45)。

结论

发现报告质量和完整性欠佳。期刊编辑应认可PRISMA摘要,并在摘要字数方面给予灵活性,以提高摘要质量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c4f3/5128996/ad7852177188/bmjopen2016012867f01.jpg

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