ArticleTrials2011
Failure to report protocol violations in clinical trials: a threat to internal validity?
Article in Trials, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 4 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
21 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Monitoring performance of sites within multicentre randomised trials: a systematic review of performance metrics.Trials · 2018Pooled it
- Pooled it
- Internet interventions for adult illicit substance users: a meta-analysis.Addiction (Abingdon, England) · 2017Pooled it
- CTOs: what is the state of the evidence?Social psychiatry and psychiatric epidemiology · 2014Pooled it
- Protocol Deviations at an Academic Clinical Research Unit: Insights and Strategies for Prevention.Clinical and translational science · 2026Article
- Analysis of Serious Breach Cases Reported in the EU Clinical Trials Information System: Quantitative and Qualitative Assessment.Therapeutic innovation & regulatory science · 2026Article
- Protocol deviation outlier estimation combined with generative AI.BMC research notes · 2026Article
- Findings and recommendations from a root cause analysis of a clinical trial randomization error.Journal of clinical and translational science · 2026Article
- When randomisation goes horribly wrong: examples of major failures of randomisation and strategies to avoid them.Trials · 2025Review
- Writing up your clinical trial report for a scientific journal: the REPORT trial guide for effective and transparent research reporting without spin.British journal of sports medicine · 2022Review
- Trial and error: challenges conducting pragmatic trials in general practice.The British journal of general practice : the journal of the Royal College of General Practitioners · 2022Article
- Review
- Historical Benchmarks for Quality Tolerance Limits Parameters in Clinical Trials.Therapeutic innovation & regulatory science · 2021Article
- Article
- Randomized Controlled Trials 1: Design.Methods in molecular biology (Clifton, N.J.) · 2021Article
- Article
- Improving the Quality of Provided Care: Lessons Learned From Auditing Neonatal Stabilization.Frontiers in pediatrics · 2020Article
- Challenges in the design, conduct, analysis, and reporting in randomized clinical trial studies: A systematic review.Medical journal of the Islamic Republic of Iran · 2019Article
- An Audit of Protocol Deviations Submitted to an Institutional Ethics Committee of a Tertiary Care Hospital.PloS one · 2016Observational
- Review
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
backgroundExcessive protocol violations (PV), which can be defined as preventable mistakes in study conduct, may result in patient harm and introduce errors into a clinical trial's results leading to flawed trial conclusions.The purpose of this project was to gain a better understanding of reported PVs, to describe current practice with regards to the use of methods for the reduction of PVs and to investigate relationships between clinical trial characteristics and PVs.
methodsWe reviewed 80 clinical trials conducted across a broad range of medical specialties published in four major general medical journals (The Lancet, NEJM, JAMA, BMJ). Eligible papers were identified using a PubMed search. For each included trial, two authors independently abstracted information on trial characteristics, PV reporting and PV rates and interventions used to reduce PVs. PVs were categorised into one of five distinct types: enrollment, randomisation, study intervention, patient compliance and data collection errors. Associations between PVs and study characteristics were investigated using logistic regression.
resultsEighty clinical trials (20 from each journal) were identified from 101 consecutive PubMed abstracts. The median number of participants was 701 (range: 20 to 162, 367) and the median number of participating sites was 15 (range: 1 to 701). Nineteen percent (15/80) of included trials were single centre trials. The median study duration was 24 months (range: 5.81 - 127 months) and 74% (59/80) of included trials were primarily academic funded.Thirty two percent (26/80) of included trials failed to provide explicit reporting of any type of PV and none (0/80) of the trials provided explicit reporting of all five types of PVs. Larger clinical trials (more patients, more sites, longer duration, more complex management structure) were more likely to have more complete reporting of PV's.Only 9% (7/80) of trials reported the use of a specific study method to prevent PVs. Use of a run-in phase was the only method reported.
conclusionsPVs are under-reported. Although the CONSORT statement provides guidance on the reporting of PVs, reporting requirements are not explicit for all types of PVs. As a first step towards improved reporting by authors, we recommend the CONSORT statement highlight the importance of PVs by making reporting requirements more explicit.
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.