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[BMJ发表论文]:前瞻性meta分析指导
2019年11月19日 时讯速递, 进展交流 暂无评论

Research Methods & Reporting

A guide to prospective meta-analysis

Anna Lene Seidler, Kylie E Hunter, Saskia Cheyne, et al

BMJ 2019; 367: l5342 DOI:https://doi.org/10.1136/bmj.l5342

Summary points

  • In a prospective meta-analysis (PMA), studies are identified and determined to be eligible for inclusion before the results of the studies related to the PMA research question are known
  • PMAs are applicable to high priority research questions where limited previous evidence exists and where new studies are expected to emerge
  • Compared with standard systematic review and meta-analysis protocols, key adaptations should be made to a PMA protocol, including search methods to identify planned and ongoing studies, details of studies that have already been identified for inclusion, core outcomes to be measured by all studies, collaboration management, and publication policy
  • A systematic search for planned and ongoing studies should precede a PMA, including a search of clinical trial registries and medical literature databases, and contacting relevant stakeholders in the specialty
  • PMAs are ideally conducted by a collaboration or consortium, including a central steering and data analysis committee, and representatives from each individual study
  • Usually PMAs collect individual participant data, but PMAs of aggregate data are also possible. PMAs can include interventional or observational studies
  • PMAs can enable harmonised collection of core outcomes, which can be particularly useful for rare but important outcomes, such as adverse side effects
  • Adaptive forms of PRISMA (preferred reporting items for systematic reviews and meta-analyses) and quality assessment approaches such as GRADE (grading of recommendations assessment, development, and evaluation) should be used to report and assess the quality of evidence for a PMA. The development of a standardised set of reporting guidelines and PMA specific evidence rating tools is highly desirable
  • PMAs can help to reduce research waste and bias, and they are adaptive, efficient, and collaborative

Box 1

Definition of a prospective meta-analysis

The key feature of a prospective meta-analysis (PMA) is that the studies or cohorts are identified as eligible for inclusion in the meta-analysis, and hypotheses and analysis strategies are specified, before the results of the studies or cohorts related to the PMA research question are known

Box 2

Key additional reporting items for a PMA protocol

For a PMA, several key items should be reported in the protocol in addition to PRISMA-P items:

Search methods

  • The search methods need to include how planned and ongoing studies are identified and how potential collaborators will be or have been contacted to participate (see step 3)

Study details

  • Details for studies already identified for inclusion should be listed, along with a statement that their results related to the PMA research question are not yet known (see step 1)

Core outcomes

  • Any core outcomes that will be measured by all the included studies should be specified, along with details on how and why they should be measured, to facilitate outcome harmonisation (see step 5)

Type of data collected

  • PMAs often collect individual participant data (that is, row by row data for each participant) but they may also collect aggregate data (that is, summary data for each study), and some combine both (see step 6)

Collaboration management and publication policy

  • Collaboration management and publication policy (see steps 4 and 7) should be specified, including details of any central steering and data analysis committees

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