Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China.
School of Public Health, Lanzhou University, Lanzhou, China.
Front Public Health. 2023 Mar 30;11:998588. doi: 10.3389/fpubh.2023.998588. eCollection 2023.
To systematically explore how the sources of evidence, types of primary studies, and tools used to assess the quality of the primary studies vary across systematic reviews (SRs) in public health.
We conducted a methodological survey of SRs in public health by searching the of literature in selected journals from electronic bibliographic databases. We selected a 10% random sample of the SRs that met the explicit inclusion criteria. Two researchers independently extracted data for analysis.
We selected 301 SRs for analysis: 94 (31.2%) of these were pre-registered, and 211 (70.1%) declared to have followed published reporting standard. All SRs searched for evidence in electronic bibliographic databases, and more than half ( = 180, 60.0%) searched also the references of the included studies. The common types of primary studies included in the SRs were primarily cross-sectional studies ( = 132, 43.8%), cohort studies ( = 126, 41.9%), randomized controlled trials (RCTs, = 89, 29.6%), quasi-experimental studies ( = 83, 27.6%), case-control studies ( = 58, 19.3%) qualitative studies ( = 38, 12.6%) and mixed-methods studies ( = 32, 10.6%). The most frequently used quality assessment tools were the Newcastle-Ottawa Scale (used for 50.0% of cohort studies and 55.6% of case-control studies), Cochrane Collaboration's Risk of Bias tool (50.7% of RCTs) and Critical Appraisal Skills Program (38.5% of qualitative studies). Only 20 (6.6%) of the SRs assessed the certainty of the body of evidence, of which 19 (95.0%) used the GRADE approach. More than 65% of the evidence in the SRs using GRADE was of low or very low certainty.
SRs should always assess the quality both at the individual study level and the body of evidence for outcomes, which will benefit patients, health care practitioners, and policymakers.
系统探讨公共卫生领域系统评价(SR)中证据来源、原始研究类型和用于评估原始研究质量的工具如何存在差异。
我们通过检索选定期刊在电子文献数据库中的文献,对公共卫生领域的 SR 进行了方法学调查。我们对符合明确纳入标准的 SR 进行了 10%的随机抽样。两名研究人员独立提取数据进行分析。
我们共选择了 301 项 SR 进行分析:其中 94 项(31.2%)是预先注册的,211 项(70.1%)宣称遵循了已发表的报告标准。所有 SR 都在电子文献数据库中搜索证据,超过一半(=180,60.0%)还搜索了纳入研究的参考文献。SR 中纳入的常见原始研究类型主要包括横断面研究(=132,43.8%)、队列研究(=126,41.9%)、随机对照试验(RCT,=89,29.6%)、准实验研究(=83,27.6%)、病例对照研究(=58,19.3%)、定性研究(=38,12.6%)和混合方法研究(=32,10.6%)。最常使用的质量评估工具是纽卡斯尔-渥太华量表(用于 50.0%的队列研究和 55.6%的病例对照研究)、 Cochrane 协作风险偏倚工具(50.7%的 RCT)和批判性评估技能计划(38.5%的定性研究)。只有 20 项(6.6%)的 SR 评估了证据体的确定性,其中 19 项(95.0%)使用了 GRADE 方法。使用 GRADE 的 SR 中超过 65%的证据确定性为低或极低。
SR 应始终评估个体研究水平和结局的证据体质量,这将使患者、医疗保健从业者和决策者受益。