ArticleJournal of the American Medical Informatics Association : JAMIA2020
Is it time for computable evidence synthesis?
Article in Journal of the American Medical Informatics Association : JAMIA, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed.
- Predicting Call Abandonment in a Health Care Call Center Using Nonpersonal Operational Data: Machine Learning Study.JMIR medical informatics · 2026Article
- Topic-specific living databases of clinical trials: A scoping review of public databases.Clinical trials (London, England) · 2026Article
- Publicly available continuously updated topic specific databases of randomised clinical trials: A scoping review.medRxiv : the preprint server for health sciences · 2024Article
- Making Science Computable Using Evidence-Based Medicine on Fast Healthcare Interoperability Resources: Standards Development Project.Journal of medical Internet research · 2024Article
- Actioning the findings of hard endpoint clinical trials as they emerge in the realm of chronic kidney disease care: a review and a call to action.Clinical kidney journal · 2024Review
- Constructing a finer-grained representation of clinical trial results from ClinicalTrials.gov.Scientific data · 2024Article
- A comparison of machine learning methods to find clinical trials for inclusion in new systematic reviews from their PROSPERO registrations prior to searching and screening.Research synthesis methods · 2024Article
- Evidence synthesis, digital scribes, and translational challenges for artificial intelligence in healthcare.Cell reports. Medicine · 2022Review
- Computer clinical decision support that automates personalized clinical care: a challenging but needed healthcare delivery strategy.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- Reporting of clinical trial safety results in ClinicalTrials.gov for FDA-approved drugs: A cross-sectional analysis.Clinical trials (London, England) · 2022Article
- Identifying unreported links between ClinicalTrials.gov trial registrations and their published results.Research synthesis methods · 2022Article
- Challenges of evidence synthesis during the 2020 COVID pandemic: a scoping review.Journal of clinical epidemiology · 2022Article
- The Evolution of Clinical Knowledge During COVID-19: Towards a Global Learning Health System.Yearbook of medical informatics · 2021Article
- It is time for computable evidence synthesis: The COVID-19 Knowledge Accelerator initiative.Journal of the American Medical Informatics Association : JAMIA · 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
Abstract
Efforts aimed at increasing the pace of evidence synthesis have been primarily focused on the use of published articles, but these are a relatively delayed, incomplete, and at times biased source of study results data. Compared to those in bibliographic databases, structured results data available in trial registries may be more timely, complete, and accessible, but these data remain underutilized. Key advantages of using structured results data include the potential to automatically monitor the accumulation of relevant evidence and use it to signal when a systematic review requires updating, as well as to prospectively assign trials to already published reviews. Shifting focus to emerging sources of structured trial data may provide the impetus to build a more proactive and efficient system of continuous evidence surveillance.
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.