ArticleSystematic reviews2015
How to conduct systematic reviews more expeditiously?
Article in Systematic reviews, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 4 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
44 citing papers in PubMed, 4 syntheses or guidelines pooled it, 118 citations in OpenAlex.
- Title-plus-abstract versus title-only first-level screening approach: a case study using a systematic review of dietary patterns and sarcopenia risk to compare screening performance.Systematic reviews · 2023Pooled it
- LOCATE: a prospective evaluation of the value of Leveraging Ongoing Citation Acquisition Techniques for living Evidence syntheses.Systematic reviews · 2021Pooled it
- Analysis of reporting completeness in exercise cancer trials: a systematic review.BMC medical research methodology · 2019Pooled it
- Crowdsourcing the Citation Screening Process for Systematic Reviews: Validation Study.Journal of medical Internet research · 2019Pooled it
- RoBuster-Corpus Annotated With Risk of Bias Text Spans in Randomized Controlled Trials in Physiotherapy and Rehabilitation: Corpus Development and Annotation Study.JMIR formative research · 2026Article
- Automated tools in systematic reviews: Current trends.Indian journal of anaesthesia · 2025Article
- Addressing evidence needs during health crises in the province of Quebec (Canada): a proposed action plan for rapid evidence synthesis.BMC health services research · 2025Article
- Analysis of article screening and data extraction performance by an AI systematic literature review platform.Frontiers in artificial intelligence · 2025Article
- Assessing willingness to pay for children's COVID-19 vaccination among healthcare providers and users using a theory-based discrete choice experiment.Scientific reports · 2024Article
- Assessing the potential role of ChatGPT in spine surgery research.Journal of experimental orthopaedics · 2024Article
- Potential Roles of Large Language Models in the Production of Systematic Reviews and Meta-Analyses.Journal of medical Internet research · 2024Article
- Quality of systematic reviews and meta-analyses in dermatology.Cochrane evidence synthesis and methods · 2024Article
- Production and use of rapid responses during the COVID-19 pandemic in Quebec (Canada): perspectives from evidence synthesis producers and decision makers.Health research policy and systems · 2024Article
- Freely Available Training Videos for Suicide Prevention: Scoping Review.JMIR mental health · 2023Article
- The Past, Present, and Future of Psychotherapy Manuals: Protocol for a Scoping Review.JMIR research protocols · 2023Article
- Consensus Guidelines for Teledermatology: Scoping Review.JMIR dermatology · 2023Article
- Reporting quality of abstracts of systematic reviews/meta-analyses: An appraisal of Arab Journal of Urology across 12 years: the PRISMA-Abstracts checklist.Arab journal of urology · 2023Article
- Review
- An overview of methodological approaches in systematic reviews.Journal of evidence-based medicine · 2022Article
- Trends in the development process of clinical practice guidelines: a questionnaire survey for the guideline development groups in Japan.BMC health services research · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Healthcare consumers, researchers, patients and policy makers increasingly use systematic reviews (SRs) to aid their decision-making process. However, the conduct of SRs can be a time-consuming and resource-intensive task. Often, clinical practice guideline developers or other decision-makers need to make informed decisions in a timely fashion (e.g. outbreaks of infection, hospital-based health technology assessments). Possible approaches to address the issue of timeliness in the production of SRs are to (a) implement process parallelisation, (b) adapt and apply innovative technologies, and/or (c) modify SR processes (e.g. study eligibility criteria, search sources, data extraction or quality assessment). Highly parallelised systematic reviewing requires substantial resources to support a team of experienced information specialists, reviewers and methodologists working alongside with clinical content experts to minimise the time for completing individual review steps while maximising the parallel progression of multiple steps. Effective coordination and management within the team and across external stakeholders are essential elements of this process. Emerging innovative technologies have a great potential for reducing workload and improving efficiency of SR production. The most promising areas of application would be to allow automation of specific SR tasks, in particular if these tasks are time consuming and resource intensive (e.g. language translation, study selection, data extraction). Modification of SR processes involves restricting, truncating and/or bypassing one or more SR steps, which may risk introducing bias to the review findings. Although the growing experiences in producing various types of rapid reviews (RR) and the accumulation of empirical studies exploring potential bias associated with specific SR tasks have contributed to the methodological development for expediting SR production, there is still a dearth of research examining the actual impact of methodological modifications and comparing the findings between RRs and SRs. This evidence would help to inform as to which SR tasks can be accelerated or truncated and to what degree, while maintaining the validity of review findings. Timely delivered SRs can be of value in informing healthcare decisions and recommendations, especially when there is practical urgency and there is no other relevant synthesised evidence.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.