Silva Flávia, Rodrigues Amorim Adegboye Amanda, Lachat Carl, Curioni Cintia, Gomes Fabio, Collins Gary S, Kac Gilberto, de Beyer Jennifer Anne, Cook Jonathan, Ismail Leila Cheikh, Page Matthew, Khandpur Neha, Lamb Sarah, Hopewell Sally, Kirtley Shona, Durão Solange, Vorland Colby J, Schlussel Michael M
Nutrition Department, Universidade Federal de Ciências da Saúde de Porto Alegre - UFCSPA, Porto Alegre, Brazil.
Centre for Healthcare Research, Coventry University, Coventry, United Kingdom.
JMIR Res Protoc. 2023 Mar 23;12:e43537. doi: 10.2196/43537.
Journal articles describing randomized controlled trials (RCTs) and systematic reviews with meta-analysis of RCTs are not optimally reported and often miss crucial details. This poor reporting makes assessing these studies' risk of bias or reproducing their results difficult. However, the reporting quality of diet- and nutrition-related RCTs and meta-analyses has not been explored.
We aimed to assess the reporting completeness and identify the main reporting limitations of diet- and nutrition-related RCTs and meta-analyses of RCTs, estimate the frequency of reproducible research practices among these RCTs, and estimate the frequency of distorted presentation or spin among these meta-analyses.
Two independent meta-research studies will be conducted using articles published in PubMed-indexed journals. The first will include a sample of diet- and nutrition-related RCTs; the second will include a sample of systematic reviews with meta-analysis of diet- and nutrition-related RCTs. A validated search strategy will be used to identify RCTs of nutritional interventions and an adapted strategy to identify meta-analyses in PubMed. We will search for RCTs and meta-analyses indexed in 1 calendar year and randomly select 100 RCTs (June 2021 to June 2022) and 100 meta-analyses (July 2021 to July 2022). Two reviewers will independently screen the titles and abstracts of records yielded by the searches, then read the full texts to confirm their eligibility. The general features of these published RCTs and meta-analyses will be extracted into a research electronic data capture database (REDCap; Vanderbilt University). The completeness of reporting of each RCT will be assessed using the items in the CONSORT (Consolidated Standards of Reporting Trials), its extensions, and the TIDieR (Template for Intervention Description and Replication) statements. Information about practices that promote research transparency and reproducibility, such as the publication of protocols and statistical analysis plans will be collected. There will be an assessment of the completeness of reporting of each meta-analysis using the items in the Preferred Reporting Items for Systematic reviews and Meta-Analysis (PRISMA) statement and collection of information about spin in the abstracts and full-texts. The results will be presented as descriptive statistics in diagrams or tables. These 2 meta-research studies are registered in the Open Science Framework.
The literature search for the first meta-research retrieved 20,030 records and 2182 were potentially eligible. The literature search for the second meta-research retrieved 10,918 records and 850 were potentially eligible. Among them, random samples of 100 RCTs and 100 meta-analyses were selected for data extraction. Data extraction is currently in progress, and completion is expected by the beginning of 2023.
Our meta-research studies will summarize the main limitation on reporting completeness of nutrition- or diet-related RCTs and meta-analyses and provide comprehensive information regarding the particularities in the reporting of intervention studies in the nutrition field.
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/43537.
描述随机对照试验(RCT)以及对RCT进行荟萃分析的系统评价的期刊文章报告情况欠佳,常常遗漏关键细节。这种糟糕的报告使得评估这些研究的偏倚风险或重现其结果变得困难。然而,饮食与营养相关的RCT和荟萃分析的报告质量尚未得到探讨。
我们旨在评估饮食与营养相关的RCT以及RCT的荟萃分析的报告完整性,确定主要的报告局限性,估计这些RCT中可重复研究实践的频率,并估计这些荟萃分析中呈现歪曲或倾向性表述的频率。
将使用发表于被PubMed收录期刊的文章开展两项独立的元研究。第一项研究将纳入饮食与营养相关RCT的样本;第二项研究将纳入对饮食与营养相关RCT进行荟萃分析的系统评价样本。将使用经过验证的检索策略识别营养干预的RCT,并采用一种经过调整的策略识别PubMed中的荟萃分析。我们将检索在1个日历年中被索引的RCT和荟萃分析,并随机选择100项RCT(2021年6月至2022年6月)和100项荟萃分析(2021年7月至2022年7月)。两名评审员将独立筛选检索得到的记录的标题和摘要,然后阅读全文以确认其合格性。这些已发表的RCT和荟萃分析的一般特征将被提取到一个研究电子数据采集数据库(REDCap;范德堡大学)中。将使用CONSORT(试验报告统一标准)及其扩展内容以及TIDieR(干预描述与复制模板)声明中的条目评估每项RCT的报告完整性。将收集有关促进研究透明度和可重复性的实践信息,例如方案和统计分析计划的发表情况。将使用系统评价与荟萃分析优先报告条目(PRISMA)声明中的条目评估每项荟萃分析的报告完整性,并收集摘要和全文中有关倾向性表述的信息。结果将以图表或表格中的描述性统计数据形式呈现。这两项元研究已在开放科学框架中注册。
第一项元研究的文献检索共检索到20,030条记录,其中2182条可能符合条件。第二项元研究的文献检索共检索到10,918条记录,其中850条可能符合条件。其中,随机抽取了100项RCT和100项荟萃分析的样本进行数据提取。数据提取目前正在进行中,预计2023年初完成。
我们的元研究将总结营养或饮食相关RCT和荟萃分析在报告完整性方面的主要局限性,并提供有关营养领域干预研究报告特殊性的全面信息。
国际注册报告识别号(IRRID):DERR1-10.2196/43537。