Evidence map›Paper›PMID 32487730›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2020

P-hacking in clinical trials and how incentives shape the distribution of results across phases.

Jérôme Adda, Christian Decker, Marco Ottaviani

Abstract readComparative Study
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
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  5. Article
  6. Article
  7. Review
  8. Advances, Overuse, and Shared Decision-Making in Abdominal Wall Surgery.Journal of abdominal wall surgery : JAWS · 2025
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. P-hacking in clinical trials and how incentives shape the distribution of results across phases.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  16. Review
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

3 authors.

Jérôme AddaDepartment of Economics, Bocconi University, 20136 Milan, Italy.ORCID 0000-0002-7035-1565
Christian DeckerDepartment of Economics, University of Zurich, 8001 Zurich, Switzerland.ORCID 0000-0002-4444-5541
Marco OttavianiDepartment of Economics, Bocconi University, 20136 Milan, Italy; marco.ottaviani@unibocconi.it.ORCID 0000-0002-0943-162X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clinical research should conform to high standards of ethical and scientific integrity, given that human lives are at stake. However, economic incentives can generate conflicts of interest for investigators, who may be inclined to withhold unfavorable results or even tamper with data in order to achieve desired outcomes. To shed light on the integrity of clinical trial results, this paper systematically analyzes the distribution of

Indexed as

Biomedical ResearchClinical Trials as TopicDrug DevelopmentDrug IndustryHumansRegistriesResearch ReportResearch Support as Topicclinical trialsdrug developmenteconomic incentives in researchp-hackingselective reporting

Identifiers

PMID32487730
PMCPMC7306753

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.