ArticleTrials2019
Factors associated with recruitment to randomised controlled trials in general practice: protocol for a systematic review.
Article in Trials, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis 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
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Participation and Refusal in an Implementation Trial: Insights from the Accelerating Cervical Cancer Elimination through the Integration of Screen-and-Treat Services (ACCESS) Study.Research square · 2026Article
- Evaluation of factors associated with recruitment rates in early phase clinical trials based on the European Clinical Trials Register data.Clinical and translational science · 2023Article
- External control arms: COVID-19 reveals the merits of using real world evidence in real-time for clinical and public health investigations.Frontiers in medicine · 2023Review
- Principal Investigators' Perceptions on Factors Associated with Successful Recruitment in Clinical Trials.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2023Article
- Uncovering key clinical trial features influencing recruitment.Journal of clinical and translational science · 2023Article
- Concept and development of an interactive tool for trial recruitment planning and management.Trials · 2021Article
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
backgroundRandomised controlled trials (RCTs) are frequently unable to recruit sufficient numbers of participants. This affects the trial's ability to answer the proposed research question, wastes resources and can be unethical. RCTs within a general practice setting are increasingly common and similarly face recruitment challenges. The aim of the proposed review is to identify factors that are associated with recruitment rates to RCTs in a general practice setting. These results will be used in further research to predict recruitment to RCTs. METHODS/
designThe electronic databases Medline, EMBASE, Cochrane Database of Systematic Reviews, NTIS and OpenGrey will be searched for relevant articles with no limit on the date of publication. BMC Trials will be manually searched for the past 5 years. Both quantitative and qualitative studies will be included if they have studied recruitment within a general practice RCT. Only English language publications will be included. Screening, quality assessment and data extraction will be conducted by two review authors not blinded to study characteristics. Disagreement will be resolved by discussion and the involvement of a third review author if required. A narrative synthesis of the studies included will be performed. DISCUSSION: The review will, for the first time, systematically synthesise existing research on factors associated with recruitment rates to RCTs in general practice. By identifying research gaps to be prioritised in further research, it will be of interest to academics. It will also be of value to clinical trialists who are involved in the complex task of improving trial recruitment. Our team will use the findings to inform a prediction model of trial recruitment using machine learning. SYSTEMATIC REVIEW REGISTRATION: PROSPERO, CRD42018100695 . Registered on 03 July 2018.
Indexed as
Identifiers
What Socratic 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 Socratic graph.