Evidence map›Paper›PMID 26289019›Full record

ReviewInternational journal of clinical oncology2016

Research misconduct and data fraud in clinical trials: prevalence and causal factors.

Stephen L George

Abstract readReview
PubMed Publisher
In one paragraph

Review in International journal of clinical oncology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Review
  2. Review
  3. Lessons and Insights from a Case Study on Clinical Trial Fraud.Therapeutic innovation & regulatory science · 2026
    Article
  4. Article
  5. The entities enabling scientific fraud at scale are large, resilient, and growing rapidly.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Signaling the trustworthiness of science.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  14. Criminalization of scientific misconduct.Medicine, health care, and philosophy · 2019
    Article
  15. Best practices in nutrition science to earn and keep the public's trust.The American journal of clinical nutrition · 2019
    Review
  16. Research misconduct and data fraud in clinical trials.International journal of clinical oncology · 2016
    Article
  17. Prevalence of data fraud.International journal of clinical oncology · 2016
    Article
  18. Legal and ethical issues in research.Indian journal of anaesthesia · 2016
    Review
  19. Fraud in clinical trials: complex problem, simple solutions?International journal of clinical oncology · 2016
    Article
  20. 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

1 author.

Stephen L GeorgeDepartment of Biostatistics and Bioinformatics, Duke University School of Medicine, 2424 Erwin Road, Suite 1102, Room 11082, Durham, NC, 27705, USA. stephen.george@duke.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The disclosure of cases of research misconduct in clinical trials, conventionally defined as fabrication, falsification or plagiarism, has been a disturbingly common phenomenon in recent years. Such cases can potentially harm patients enrolled on the trials in question or patients treated based on the results of those trials and can seriously undermine the scientific and public trust in the validity of clinical trial results. Here, I review what is known about the prevalence of research misconduct in general and the contributing or causal factors leading to the misconduct. The evidence on prevalence is unreliable and fraught with definitional problems and with study design issues. Nevertheless, the evidence taken as a whole seems to suggest that cases of the most serious types of misconduct, fabrication and falsification (i.e., data fraud), are relatively rare but that other types of questionable research practices are quite common. There have been many individual, institutional and scientific factors proposed for misconduct but, as is the case with estimates of prevalence, reliable empirical evidence on the strength and relative importance of these factors is lacking. However, it seems clear that the view of misconduct as being simply the result of aberrant or self-delusional personalities likely underestimates the effect of other important factors and inhibits the development of effective prevention strategies.

Indexed as

Clinical Trials as TopicScientific MisconductAdultFemaleFraudHumansMalePrevalenceClinical trialsFraudResearch misconduct

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.