SynthesisBMJ open2017
Analysis of the time and workers needed to conduct systematic reviews of medical interventions using data from the PROSPERO registry.
Synthesis in BMJ open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 278 papers, 17 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
278 citing papers in PubMed, 17 syntheses or guidelines pooled it.
- Transforming evidence synthesis: A systematic review of the evolution of automated meta-analysis in the age of AI.Research synthesis methods · 2026Pooled it
- A systematic literature review (SLR) on the adoption of artificial intelligence-assisted SLRS: implications for health technology assessments.International journal of technology assessment in health care · 2026Pooled it
- How Well Do ChatGPT and Claude Perform in Study Selection for Systematic Review in Obstetrics.Journal of medical systems · 2025Pooled it
- A comparative study of screening performance between abstrackr and GPT models: Systematic review and contextual analysis.BMC medical informatics and decision making · 2025Pooled it
- Systematic Review and Meta-Analysis of AI-Assisted Mammography and the Systemic Immune-Inflammation Index in Breast Cancer: Diagnostic and Prognostic Perspectives.Medicina (Kaunas, Lithuania) · 2025Pooled it
- The emergence of large language models as tools in literature reviews: a large language model-assisted systematic review.Journal of the American Medical Informatics Association : JAMIA · 2025Pooled it
- How much can we save by applying artificial intelligence in evidence synthesis? Results from a pragmatic review to quantify workload efficiencies and cost savings.Frontiers in pharmacology · 2025Pooled it
- A systematic review of animal and human data comparing the nasal potential difference test between cystic fibrosis and control.Scientific reports · 2024Pooled it
- Cocreating an Automated mHealth Apps Systematic Review Process With Generative AI: Design Science Research Approach.JMIR medical education · 2024Pooled it
- The impact of Cochrane Reviews that apply network meta-analysis in clinical guidelines: A systematic review.PloS one · 2024Pooled it
- 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
- Evaluation of a prototype machine learning tool to semi-automate data extraction for systematic literature reviews.Systematic reviews · 2023Pooled it
- Limits in the search date for rapid reviews of diagnostic test accuracy studies.Research synthesis methods · 2023Pooled it
- A guide to using technological applications to facilitate systematic reviews.Worldviews on evidence-based nursing · 2022Pooled it
- The effectiveness and acceptability of evidence synthesis summary formats for clinical guideline development groups: a mixed-methods systematic review.Implementation science : IS · 2022Pooled it
- Feasibility study and evaluation of expert opinion on the semi-automated meta-analysis and the conventional meta-analysis.European journal of clinical pharmacology · 2022Pooled it
- Automatic data extraction to support meta-analysis statistical analysis: a case study on breast cancer.BMC medical informatics and decision making · 2022Pooled it
- A span-based model for extracting overlapping PICO entities from randomized controlled trial publications.Journal of the American Medical Informatics Association : JAMIA · 2024Trial
- What works to address inequalities in primary care: Development of Living Evidence Maps using machine learning.Public health in practice (Oxford, England) · 2026Article
- Evaluating the Performance of Covidence's Artificial Intelligence-Based Screening Function in Cancer Systematic Reviews.Cancer innovation · 2026Article
218 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
objectivesTo summarise logistical aspects of recently completed systematic reviews that were registered in the International Prospective Register of Systematic Reviews (PROSPERO) registry to quantify the time and resources required to complete such projects.
designMeta-analysis. DATA SOURCES AND STUDY SELECTION: All of the 195 registered and completed reviews (status from the PROSPERO registry) with associated publications at the time of our search (1 July 2014). DATA EXTRACTION: All authors extracted data using registry entries and publication information related to the data sources used, the number of initially retrieved citations, the final number of included studies, the time between registration date to publication date and number of authors involved for completion of each publication. Information related to funding and geographical location was also recorded when reported.
resultsThe mean estimated time to complete the project and publish the review was 67.3 weeks (IQR=42). The number of studies found in the literature searches ranged from 27 to 92 020; the mean yield rate of included studies was 2.94% (IQR=2.5); and the mean number of authors per review was 5, SD=3. Funded reviews took significantly longer to complete and publish (mean=42 vs 26 weeks) and involved more authors and team members (mean=6.8 vs 4.8 people) than those that did not report funding (both p<0.001).
conclusionsSystematic reviews presently take much time and require large amounts of human resources. In the light of the ever-increasing volume of published studies, application of existing computing and informatics technology should be applied to decrease this time and resource burden. We discuss recently published guidelines that provide a framework to make finding and accessing relevant literature less burdensome.
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.