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Systematic Reviews: Methods & Resources

Guidelines for Analytical Reviews

Many organizations have created guidelines to standardize reporting of analytical research. See some of the main ones below. The NIH offers a useful chart of Research Reporting Guidelines, and you can find over 500 on the EQUATOR network.

When comparing therapies/interventions:

When comparing diagnostic methods:

  • Checklist for Artificial Intelligence in Medical Imaging (CLAIM). CLAIM is modeled after the STARD guideline and has been extended to address applications of AI in medical imaging that include classification, image reconstruction, text analysis, and workflow optimization. The elements described here should be viewed as a “best practice” to guide authors in presenting their research. Reported in Mongan, J., Moy, L., & Kahn, C. E., Jr (2020). Checklist for Artificial Intelligence in Medical Imaging (CLAIM): A Guide for Authors and Reviewers. Radiology. Artificial intelligence2(2), e200029. https://doi.org/10.1148/ryai.2020200029
  • STAndards for the Reporting of Diagnostic accuracy studies (STARD) Statement. (Reporting guidelines for writing up a study comparing the accuracy of competing diagnostic methods) http://www.stard-statement.org/

When evaluating clinical practice guidelines:

  • AGREE Research Trust (ART) (2013). Appraisal of Guidelines for Research & Evaluation (AGREE-II). (A 23-item instrument for assessing the quality of Clinical Practice Guidelines. Used internationally for evaluating or deciding which guidelines could be recommended for use in practice or to inform health policy decisions.)
  • National Guideline Clearinghouse Extent of Adherence to Trustworthy Standards (NEATS) Instrument (2019). (A 15-item instrument using scales of 1-5 to evaluate a guideline's adherence to the Institute of Medicine's standard for trustworthy guidelines. It has good external validity among guideline developers and good interrater reliability across trained reviewers.)

When you need to re-analyze individual participant data:

When comparing studies involving animals, livestock, or food:

When reporting the results of a Randomized Controlled Trial:

Methods/Guidance

The following is a list of useful resources and articles.

Tools:

  • Right Review: helps you choose the proper review methodology for your project
  • The Systematic Review Toolbox: an online catalogue of tools that support various tasks within the systematic review and wider evidence synthesis process. Tools include the 'Polyglot Search Translator'. 

General Guidance:

Guidance for searching:

  • Hunter, K. E., et al. (2022). Searching clinical trials registers: guide for systematic reviewers. BMJ (Clinical research ed.)377, e068791. https://doi.org/10.1136/bmj-2021-068791
  • Canadian Agency for Drugs and Technologies in Health (CADTH) (2019). Grey Matters: a practical tool for searching health-related grey literature. Retrieved from https://www.cadth.ca/resources/finding-evidence/grey-matters.
  • Glanville, J., Duffy, S., Mccool, R., & Varley, D. (2014). Searching ClinicalTrials.gov and the International Clinical Trials Registry Platform to inform systematic reviews: what are the optimal search approaches? Journal of the Medical Library Association : JMLA, 102(3), 177–183. https://doi.org/10.3163/1536-5050.102.3.007
  • McGowan J, Sampson M, Salzwedel DM, Cogo E, Foerster V, Lefebvre C. PRESS Peer Review of Electronic Search Strategies: 2015 Guideline Statement. J Clin Epidemiol. 2016;75:40–46. doi:10.1016/j.jclinepi.2016.01.021. PRESS is a guideline with a checklist for librarians to critically appraise the search strategy for a systematic review literature search.

Quality of Evidence Grading:

Guidelines for Narrative Reviews

When reviewing observational studies/qualitative research:

Software tools for systematic reviews

GW researchers may want to consider using Refworks to manage citations, and GW Box to store the full text PDF's of review articles. You can also use online survey forms such as Qualtrics, RedCAP, or Survey Monkey, to design and create your own coded fillable forms, and export the data to Excel or one of the qualitative analytical software tools listed above.

Forest Plot Generators