ArticleSystematic reviews2018
Does information from ClinicalTrials.gov increase transparency and reduce bias? Results from a five-report case series.
Article in Systematic reviews, 2018. 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.
- Repurposing of colchicine: critical examination of clinical trials and scoping review.European journal of clinical pharmacology · 2026Article
- Protocol publication rate and comparison between article, registry and protocol in RCTs.BMC medical research methodology · 2025Article
- REporting quality of PilOt randomised controlled trials in surgery (REPORTS): a methodological survey protocol.BMJ open · 2024Article
- Public reporting of black participation in anti-hypertensive drug clinical trials.American heart journal · 2023Article
- Home-built environment interventions and inflammation biomarkers: a systematic review and meta-analysis protocol.BJGP open · 2022Article
- Characteristics of clinical trials related to hip fractures and factors associated with completion.BMC musculoskeletal disorders · 2022Article
- Clinical trial registration during COVID-19 and beyond in the African context: what have we learned?Trials · 2022Article
- A web-based tool for automatically linking clinical trials to their publications.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- Development and validation pathways of artificial intelligence tools evaluated in randomised clinical trials.BMJ health & care informatics · 2021Article
- The concept of justifiable healthcare and how big data can help us to achieve it.BMC medical informatics and decision making · 2021Review
- Prototypical Clinical Trial Registry Based on Fast Healthcare Interoperability Resources (FHIR): Design and Implementation Study.JMIR medical informatics · 2021Article
- The Inclusion of Economic Endpoints as Outcomes in Clinical Trials Reported to ClinicalTrials.gov.Journal of managed care & specialty pharmacy · 2020Article
- StudyPortal - Geovisualization of Study Research Networks.Journal of medical systems · 2019Article
- 10-Year Update on Study Results Submitted to ClinicalTrials.gov.The New England journal of medicine · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
Abstract
backgroundWe investigated whether information in ClinicalTrials.gov would impact the conclusions of five ongoing systematic reviews.
methodWe considered five reviews that included 495 studies total. Each review team conducted a search of ClinicalTrials.gov up to the date of the review's last literature search, screened the records using the review's eligibility criteria, extracted information, and assessed risk of bias and applicability. Each team then evaluated the impact of the evidence found in ClinicalTrials.gov on the conclusions in the review.
resultsAcross the five reviews, the number of studies that had both a registry record and a publication varied widely, from none in one review to 43% of all studies identified in another. Among the studies with both a record and publication, there was also wide variability in the match between published outcomes and those listed in ClinicalTrials.gov. Of the 173 total ClinicalTrials.gov records identified across the five projects, between 11 and 43% did not have an associated publication. In the 14% of records that contained results, the new data provided in the ClinicalTrials.gov records did not change the results or conclusions of the reviews. Finally, a large number of published studies were not registered in ClinicalTrials.gov, but many of these were published before ClinicalTrials.gov's inception date of 2000.
conclusionImproved prospective registration of trials and consistent reporting of results in ClinicalTrials.gov would help make ClinicalTrials.gov records more useful in finding unpublished information and identifying potential biases. In addition, consistent indexing in databases, such as MEDLINE, would allow for better matching of records and publications, leading to increased utility of these searches for systematic review projects.
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.