Evidence map›Paper›PMID 30138717›Full record

ReviewContemporary clinical trials2018

Deception in clinical trials and its impact on recruitment and adherence of study participants.

Chuen Peng Lee, Tyson Holmes, Eric Neri, Clete A Kushida

Abstract readReview
In one paragraph

Review in Contemporary clinical trials, 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.

  1. Trial
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. The ethical anatomy of payment for research participants.Medicine, health care, and philosophy · 2022
    Article
  7. Article
  8. Article
  9. Remote Methods for Conducting Tobacco-Focused Clinical Trials.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2020
    Review
  10. Article
  11. Article
  12. Are Payments to Human Research Subjects Ethically Suspect?Journal of clinical research best practices · 2019
    Article
  13. Article
  14. 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

4 authors.

Chuen Peng LeeDepartment of Respiratory and Critical Care Medicine, Tan Tock Seng Hospital, 11 Jalan Tan Tock Seng, 308433, Singapore. Electronic address: chuen_peng_lee@ttsh.com.sg.
Tyson HolmesStanford University Human Immune Monitoring Center, Institute for Immunity Transplantation and Infection, Stanford University School of Medicine, Stanford, United States.
Eric NeriStanford University School of Medicine, Palo Alto, CA, United States.
Clete A KushidaStanford Sleep Medicine Center, Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, 450 Broadway Street, MC 5704, Pavilion C, 2nd Floor, Redwood City, CA 94063-5704, United States.

Funding

Predictive Adherence Modeling (PAM) StudyR21HL121521 · NHLBI · STANFORD UNIVERSITY · PI KUSHIDA, CLETE A · 2016 to 2017
$237k
NHLBI NIH HHS R21 HL121521
6 · The paper itself

Abstract

Deceptive practices by participants in clinical research are prevalent. It has been shown that as high as 75% of participants withheld information to avoid exclusion from studies. Self-reported adherence has been found to be largely inaccurate. Overcoming deception is a critical issue, since the safety of study participants, the integrity of research data and research resources are at risk. In this review article, we examine deception from the perspective of investigators conducting clinical trials; we describe the types (concealment, fabrication, drug holidays and collusion), prevalence, risks, and predictors of deception, and propose an approach to reduce the impact of deception, especially on adherence, in clinical trials.

Indexed as

Clinical Trials as TopicDeceptionHealthy VolunteersHumansPatient SafetyPatient SelectionSelf ReportTreatment Adherence and Compliance

Identifiers

PMID30138717
PMCPMC6203693

What OpenQuestion holds

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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.