Evidence map›Paper›PMID 28934243›Full record

ArticlePloS one2017

Time to publication of oncology trials and why some trials are never published.

Paul B Chapman, Nathan J Liu, Qin Zhou, Alexia Iasonos, Sara Hanley, George J Bosl, David R Spriggs

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
–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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Time to publication for results of clinical trials.The Cochrane database of systematic reviews · 2024
    Pooled it
  3. Review
  4. Review
  5. A Comprehensive Bibliometric Analysis of Biomedical Research Waste: Current Situation, Development, and Trends.Medical science monitor : international medical journal of experimental and clinical research · 2025
    Article
  6. Strategic policy options to improve quality and productivity of biomedical research.Politics and the life sciences : the journal of the Association for Politics and the Life Sciences · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Publish or Perish v2.The oncologist · 2019
    Article
  16. Of mice and men: lost in translation.Annals of oncology : official journal of the European Society for Medical Oncology · 2019
    Article
  17. Article
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

7 authors.

Paul B ChapmanDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, United States of America.ORCID http://orcid.org/0000-0003-1618-0811
Nathan J LiuWeill Cornell Medical College, New York, New York, United States of America.
Qin ZhouEpidemiology-Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, United States of America.
Alexia IasonosEpidemiology-Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, United States of America.
Sara HanleyDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, United States of America.
George J BoslDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, United States of America.
David R SpriggsDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, United States of America.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

backgroundVery little is known about the proportion of oncology trials that get published, the time it takes to publish them, or the reasons why oncology trials do not get published.

methodsWe analyzed all clinical trials that closed to accrual at our cancer center between 2009-2013. Trials were categorized by study purpose (therapeutic vs. diagnostic), phase (pilot, phase I, II, or III), and sponsor (industrial, cooperative group, institutional, or peer-reviewed). Final publications were identified in MEDLINE and EMBASE by NCT numbers, or by querying the principal investigator. For trials not published, we surveyed the principal investigators to identify the reason for non-publication.

findings469 of 809 protocols (58%) had been published by November 2016. The calculated probability of publication 7 years after completing accrual was 70.4%; the calculated median time to publication was 47 months. Only 18.8% of protocols overall were estimated to be published within 2 years from completing accrual. The calculated probability of publication was higher for therapeutic trials than non-therapeutic trials, but there was no difference based on phase or sponsor. Among protocols not published, 45.3% had completed accrual, and among these, a majority had a manuscript in preparation or review, or the trial was still collecting data. Failure to publish due to a pharmaceutical sponsor was rare. 30.6% of unpublished trials had closed for various reasons before completing accrual, usually due to poor accrual or pharmaceutical sponsor issues.

interpretationAlmost 30% of trials were calculated to be unpublished by 7 years after closing to accrual at our institution. Failure to reach accrual goals was an important factor in non-publication. We have devised new institutional policies that identify trials likely not to meet accrual goals and require early closure. We should be able to shorten the time from accrual completion to publication, especially for pilot and phase I trials for which long follow up is not needed.

Indexed as

Clinical Trials as TopicMedical OncologyHumansProbabilityPublishingTime Factors

Identifiers

PMID28934243
PMCPMC5608207

What OpenQuestion holds

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Registered trials

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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.