Evidence map›Paper›PMID 29234946›Full record

ReviewInvestigational new drugs2018

Comparison of published and unpublished phase I clinical cancer trials: an analysis of the CliniclTrials.gov database.

D Shepshelovich, H Goldvaser, L Wang, A R Abdul Razak

Abstract readReview
PubMed Publisher
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

D ShepshelovichDivision of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, 700 University Avenue, M5G2M9, Toronto, Ontario, Canada.
H GoldvaserDivision of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, 700 University Avenue, M5G2M9, Toronto, Ontario, Canada.
L WangDivision of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, 700 University Avenue, M5G2M9, Toronto, Ontario, Canada.
A R Abdul RazakDivision of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, 700 University Avenue, M5G2M9, Toronto, Ontario, Canada. Albiruni.Razak@uhn.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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

Clinical Trials, Phase I as TopicDatabases, FactualHumansNeoplasmsPublishingCancerClinicalTrials.govPhase IPublication

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.