| Literature DB >> 27443385 |
Paul Garner1, Sally Hopewell2, Jackie Chandler3, Harriet MacLehose3, Holger J Schünemann4, Elie A Akl5, Joseph Beyene6, Stephanie Chang7, Rachel Churchill8, Karin Dearness9, Gordon Guyatt10, Carol Lefebvre11, Beth Liles12, Rachel Marshall3, Laura Martínez García13, Chris Mavergames14, Mona Nasser15, Amir Qaseem16, Margaret Sampson17, Karla Soares-Weiser3, Yemisi Takwoingi18, Lehana Thabane19, Marialena Trivella20, Peter Tugwell21, Emma Welsh22, Ed C Wilson23, Holger J Schünemann4.
Abstract
Entities:
Mesh:
Year: 2016 PMID: 27443385 PMCID: PMC4955793 DOI: 10.1136/bmj.i3507
Source DB: PubMed Journal: BMJ ISSN: 0959-8138

Fig 1 Decision framework to assess systematic reviews for updating, with standard terms to report such decisions
Formal prediction tools: how potentially relevant new studies can affect review conclusions
| Method | Description of approach | How it could be used | Advantages | Limitations | Validation |
|---|---|---|---|---|---|
| GRADE approach | Considers whether the evidence certainty might change in the update (for example, because of lack of high certainty evidence, or because new evidence contradicts existing high certainty evidence). High certainty of evidence for critical outcomes could lower the priority for updating. Uncertainty in the review findings increases the need to include new studies | Provides a benchmark by outcome to assess whether a new trial will improve the certainty of the evidence | Pragmatic. Many reviews already include GRADE | Requires GRADE to have been used in existing review or to complete an assessment according to GRADE | GRADE summary of findings tables or evidence profiles widely validated. |
| Ottawa method | A simple PubMed search (using the three largest and three most recent trials from the original review) to identify new studies. If new studies are found, then the method uses quantitative signals (eg, change in significance, effect size) to assess the likelihood that the new studies will change the review conclusion, thus triggering an update | Practical routine surveillance tool | Easy to use | Will not detect all trials; judgment only based on changing conclusion | Approach validated for consistency of predicted and actual changes to conclusions; reasonable agreement with RAND method |
| RAND method | An abbreviated search of five major journals to identify new studies, and a search of the US Food and Drug Administration website and external expert judgment to determine the currency of the report findings | Practical routine surveillance tool | Easy to use | Will not detect all trials; judgment only based on changing conclusion | Approach validated for consistency of predicted and actual changes to conclusions, and compares well with the Ottawa method |
| Statistical prediction tool | A multicomponent decision tool to assess whether there might be any new studies for the update. If new studies are identified, a statistical prediction tool estimates the probability that this will change the review conclusion | Ranks multiple systematic reviews in order of priority for updating | Uses quantitative approach | More complicated; requires commercial software | Approach validated internally |
| Value of information analysis | Builds on the statistical prediction tool approach | Ranks selected systematic reviews in order of priority for updating | Uses quantitative approach | More complicated; requires some statistical knowledge | Approach validated internally; requires further external validation |
Refresh background, objectives, inclusion criteria, and methods
| Protocol section | Appraisal points |
|---|---|
| Background and research question | • Review and update background section, including supporting references to take account of any changes that may have occurred. This should include updating any new information and current policy debates on the topic. |
| Inclusion criteria | • Consider whether the existing PICO(s) remain(s) current, in the light of new knowledge. |
| Methods | • Appraise and update the methods pending relevant methodological advancements or developments. For example, if (1) there are new tools for assessing the risk of bias of individual studies or appraising the quality of a body of evidence (eg, GRADE); or (2) new and efficient search approaches are feasible, such as a targeted approach to searching, taking into account the quality of the original search, and ensuring that the search for the update is of high quality. |
Technological innovations to improve the efficiency of updating systematic reviews
| Innovation | Description | Application | Examples of software and projects,* and current status |
|---|---|---|---|
| Integrated software | Integration of applying inclusion criteria, review management systems, statistical packages, and GRADE | To facilitate greater efficiencies in review production, including their updates | Covidence ( |
| Systematic review data repositories | Repositories store information from review (eg, data abstraction forms and the evidence tables) | Improve updating efficiency for new or existing teams as the data abstraction forms, evidence tables, and populating data from the original review are available | Agency of Health Care Research and Quality systematic review data repository ( |
| Semi-automation | Machine learning techniques to use alongside human efforts | Finding studies and extracting data could benefit from semi-automation creating time efficiencies | RobotReviewer ( |
| Crowdsourcing | Use of volunteers to assist systematic review authors with discrete tasks | Individuals from the “crowd” assist with tasks (identifying and screening studies, translating articles, data extraction) to help in new review production and updates | Cochrane Project Transform—crowdsourcing (link as above) |
| Publication linkage | Ability to link trial registration, trial publications, and reviews citing them will help transparency | This initiative could help identify studies for systematic reviews and could also show the relation between systematic review updates | A cross publisher initiative, CrossRef, is coordinating a threaded publications/linked clinical trial reports initiative to link a clinical trial report (with a trial registration number) report and derivative publications, including reviews ( |
| Data linkage | Increase links between data, existing software, and reviews | To improve identification and reuse of data for review production and dissemination | Cochrane ( |
*Further information can be located on the SR Toolbox site (http://systematicreviewtools.com/).
†Free to Cochrane contributors; other users pay.