ReviewInvestigational new drugs2018
Comparison of published and unpublished phase I clinical cancer trials: an analysis of the CliniclTrials.gov database.
Review in Investigational new drugs, 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.
- The insufficient publication of early-phase clinical trials in oncology.The oncologist · 2026Article
- The use of pharmacodynamic results for recommended phase II decision making in oncology clinical trials.Cancer chemotherapy and pharmacology · 2026Review
- Toxicity outcomes in phase 1 lymphoma trials abstracts are under-reported, with high use of minimizing language.HemaSphere · 2026Article
- Barriers to publishing early phase clinical trials: the oncologists' perspective.The oncologist · 2025Article
- CONSORT-DEFINE explanation and elaboration: recommendations for enhancing reporting quality and impact of early phase dose-finding clinical trials.EClinicalMedicine · 2025Article
- The Current Landscape of COPD-Related Clinical Trials Registered on the World Health Organization's International Clinical Trials Registry Platform: A Comprehensive Analysis of Study Characteristics and Publication Status.Chronic obstructive pulmonary diseases (Miami, Fla.) · 2023Article
- Enhancing reporting quality and impact of early phase dose-finding clinical trials: CONSORT Dose-finding Extension (CONSORT-DEFINE) guidance.BMJ (Clinical research ed.) · 2023Article
- Statistical methods and data visualisation of patient-reported outcomes in early phase dose-finding oncology trials: a methodological review.EClinicalMedicine · 2023Article
- Characteristics and Outcomes of Clinical Trials on Gene Therapy in Noncongenital Cardiovascular Diseases: Cross-sectional Study of Three Clinical Trial Registries.JMIR formative research · 2022Article
- Recruitment, outcomes, and toxicity trends in phase I oncology trials: Six-year experience in a large institution.Cancer reports (Hoboken, N.J.) · 2022Article
- Trends in patient-reported outcome use in early phase dose-finding oncology trials - an analysis of ClinicalTrials.gov.Cancer medicine · 2021Article
- Article
- Accrual, Publication Bias, and the Coronavirus in 2020.The oncologist · 2020Article
- A multi-state model analysis of the time from ethical approval to publication of clinical research studies.PloS one · 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
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction The role of phase I cancer trials is constantly evolving and they are increasingly being used in 'go/no' decisions in drug development. As a result, there is a growing need to ensure trials are published when completed. There are limited data on the publication rate and the factors associated with publication in phase I trials. Methods The ClinicalTrials.gov database was searched for completed adult phase I cancer trials with reported results. PubMed was searched for matching publications published prior to April 1, 2017. Logistic regression was used to identify factors associated with unpublished trials. Linear regression was used to explore factors associated with time lag from study database lock to publication for published trials. Results The study cohort included 319 trials. 95 (30%) trials had no matching publication. Thirty (9%) trials were not published in abstract form as well. On multivariable analysis, the most significant factor associated with unpublished trials was industry funding (odds ratio 3.3, 95% confidence interval 1.7-6.6, p=0.019). For published trials, time lag between database lock and publication was longer by 10.9 months (standard error 3.6, p<0.001) for industry funded trials compared with medical center funded trials. Conclusions Timely publishing of early cancer clinical trials results remains unsatisfactory. Industry funded phase I cancer trials were more likely to remain unpublished, and were associated with a longer time lag from database lock to publication. Policies that promote transparency and data sharing in clinical trial research might improve accountability among industry and investigators and improve timely results publication.
Indexed as
Identifiers
29234946What 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.