ReviewJournal of the National Cancer Institute2019
Recruitment and Trial-Finding Apps-Time for Rules of the Road.
Review in Journal of the National Cancer Institute, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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
4 citing papers in PubMed.
- Real-world evaluation of user engagement with an artificial intelligence-powered clinical trial application in oncology.Journal of the American Medical Informatics Association : JAMIA · 2025Article
- What Is Ailing Oncology Clinical Trials? Can We Fix Them?Current oncology (Toronto, Ont.) · 2024Review
- Accelerating Cancer Patient Recruitment Through a Mobile Application (Clinical Trial Finder).Cancer informatics · 2022Article
- Reversing the Tide: Improving the Recruitment of Patients With Inflammatory Bowel Disease in Clinical Trials in the United States.Crohn's & colitis 360 · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The problem of insufficient recruitment to clinical oncology trials is well known. Some stakeholders view mobile apps as a solution with the potential to make recruitment more efficient, lower trial costs, support patient-centeredness, and accelerate treatment advances. Recruitment and trial-finding apps seek to disrupt the traditional approach to recruitment in several ways, including aggregating information about ongoing trials and presenting it in a user-friendly format, curating information to tailor search results to prospective participants' interests, facilitating direct contact between prospective participants and trial sites, and, in at least one case, analyzing individuals' tumor samples and medical records to provide tailored recommendations both for approved treatments and clinical trials. Although recruitment and trial-finding apps respond to a real need, they raise ethical concerns. Here, we outline six domains of ethical concern: review of recruitment materials, privacy and confidentiality, constrained choice and conflicts of interest, therapeutic misbranding, payment for accessing research-related information, and disruptions to care and research. We offer several suggestions and encourage additional dialogue to improve the ethical acceptability of these apps because, as third parties increasingly promise to revolutionize clinical trial recruitment by connecting patients and investigators via recruitment and trial-finding apps, we need some rules of the road.
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.