Literature DB >> 26289019

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

Stephen L George1.   

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.

Entities:  

Keywords:  Clinical trials; Fraud; Research misconduct

Mesh:

Year:  2015        PMID: 26289019     DOI: 10.1007/s10147-015-0887-3

Source DB:  PubMed          Journal:  Int J Clin Oncol        ISSN: 1341-9625            Impact factor:   3.402


  36 in total

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Authors:  P Kranke; C C Apfel; N Roewer; Y Fujii
Journal:  Anesth Analg       Date:  2000-04       Impact factor: 5.108

2.  The role of biostatistics in the prevention, detection and treatment of fraud in clinical trials.

Authors:  M Buyse; S L George; S Evans; N L Geller; J Ranstam; B Scherrer; E Lesaffre; G Murray; L Edler; J Hutton; T Colton; P Lachenbruch; B L Verma
Journal:  Stat Med       Date:  1999-12-30       Impact factor: 2.373

3.  A pilot study of biomedical trainees' perceptions concerning research ethics.

Authors:  M W Kalichman; P J Friedman
Journal:  Acad Med       Date:  1992-11       Impact factor: 6.893

4.  Randomized response: a survey technique for eliminating evasive answer bias.

Authors:  S L Warner
Journal:  J Am Stat Assoc       Date:  1965-03       Impact factor: 5.033

5.  Data fraud in clinical trials.

Authors:  Stephen L George; Marc Buyse
Journal:  Clin Investig (Lond)       Date:  2015

6.  Scientists behaving badly.

Authors:  Brian C Martinson; Melissa S Anderson; Raymond de Vries
Journal:  Nature       Date:  2005-06-09       Impact factor: 49.962

7.  Fostering integrity in research: definitions, current knowledge, and future directions.

Authors:  Nicholas H Steneck
Journal:  Sci Eng Ethics       Date:  2006-01       Impact factor: 3.525

8.  Guidelines for quality assurance in multicenter trials: a position paper.

Authors:  G L Knatterud; F W Rockhold; S L George; F B Barton; C E Davis; W R Fairweather; T Honohan; R Mowery; R O'Neill
Journal:  Control Clin Trials       Date:  1998-10

9.  Retraction of articles written by Dr. Yoshitaka Fujii.

Authors:  Donald R Miller
Journal:  Can J Anaesth       Date:  2012-10-10       Impact factor: 5.063

10.  A successful system of scientific data audits for clinical trials. A report from the Cancer and Leukemia Group B.

Authors:  R B Weiss; N J Vogelzang; B A Peterson; L C Panasci; J T Carpenter; M Gavigan; K Sartell; E Frei; O R McIntyre
Journal:  JAMA       Date:  1993-07-28       Impact factor: 56.272

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  10 in total

1.  Fraud in clinical trials: complex problem, simple solutions?

Authors:  Junichi Sakamoto; Marc Buyse
Journal:  Int J Clin Oncol       Date:  2015-11-14       Impact factor: 3.402

2.  Research misconduct and data fraud in clinical trials.

Authors:  Viroj Wiwanitkit
Journal:  Int J Clin Oncol       Date:  2016-06-02       Impact factor: 3.402

3.  Prevalence of data fraud.

Authors:  Stephen L George
Journal:  Int J Clin Oncol       Date:  2016-12       Impact factor: 3.402

Review 4.  Legal and ethical issues in research.

Authors:  Camille Yip; Nian-Lin Reena Han; Ban Leong Sng
Journal:  Indian J Anaesth       Date:  2016-09

5.  Factors associated with scientific misconduct and questionable research practices in health professions education.

Authors:  Lauren Maggio; Ting Dong; Erik Driessen; Anthony Artino
Journal:  Perspect Med Educ       Date:  2019-04

6.  Psychometric properties of Persian version of the research misconduct questionnaire (PRMQ).

Authors:  Erfan Shamsoddin; Leila Janani; Kiandokht Ghamari; Payam Kabiri; Ehsan Shamsi Gooshki; Bita Mesgarpour
Journal:  J Med Ethics Hist Med       Date:  2020-11-10

7.  Detecting fabrication in large-scale molecular omics data.

Authors:  Michael S Bradshaw; Samuel H Payne
Journal:  PLoS One       Date:  2021-11-30       Impact factor: 3.240

8.  Assessment and classification of protocol deviations.

Authors:  Ravindra Bhaskar Ghooi; Neelambari Bhosale; Reena Wadhwani; Pathik Divate; Uma Divate
Journal:  Perspect Clin Res       Date:  2016 Jul-Sep

9.  Signaling the trustworthiness of science.

Authors:  Kathleen Hall Jamieson; Marcia McNutt; Veronique Kiermer; Richard Sever
Journal:  Proc Natl Acad Sci U S A       Date:  2019-09-23       Impact factor: 11.205

10.  Assessing research misconduct in Iran: a perspective from Iranian medical faculty members.

Authors:  Erfan Shamsoddin; Zahra Torkashvand-Khah; Ahmad Sofi-Mahmudi; Leila Janani; Payam Kabiri; Ehsan Shamsi-Gooshki; Bita Mesgarpour
Journal:  BMC Med Ethics       Date:  2021-06-21       Impact factor: 2.652

  10 in total

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