Literature DB >> 11018560

Fraud in medical research: an international survey of biostatisticians. ISCB Subcommittee on Fraud.

J Ranstam1, M Buyse, S L George, S Evans, N L Geller, B Scherrer, E Lesaffre, G Murray, L Edler, J L Hutton, T Colton, P Lachenbruch.   

Abstract

The characteristics of scientific fraud and its impact on medical research are in general not well known. However, the interest in the phenomenon has increased steadily during the last decade. Biostatisticians routinely work closely with physicians and scientists in many branches of medical research and have therefore unique insight into data. In addition, they have methodological competence to detect fraud and could be expected to have a professional interest in valid results. Biostatisticians therefore are likely to provide reliable information on the characteristics of fraud in medical research. The objective of this survey of biostatisticians, who were members of the International Society for Clinical Biostatistics, was to assess the characteristics of fraud in medical research. The survey was performed between April and July 1998. The participation rate was only 37%. We report the results because a majority (51%) of the participants knew about fraudulent projects, and many did not know whether the organization they work for has a formal system for handling suspected fraud or not. Different forms of fraud (e.g., fabrication and falsification of data, deceptive reporting of results, suppression of data, and deceptive design or analysis) had been observed in fairly similar numbers. We conclude that fraud is not a negligible phenomenon in medical research, and that increased awareness of the forms in which it is expressed seems appropriate. Further research, however, is needed to assess the prevalence of different types of fraud, as well as its impact on the validity of results published in the medical literature.

Entities:  

Keywords:  Biomedical and Behavioral Research; Empirical Approach

Mesh:

Year:  2000        PMID: 11018560     DOI: 10.1016/s0197-2456(00)00069-6

Source DB:  PubMed          Journal:  Control Clin Trials        ISSN: 0197-2456


  19 in total

Review 1.  Research misconduct and data fraud in clinical trials: prevalence and causal factors.

Authors:  Stephen L George
Journal:  Int J Clin Oncol       Date:  2015-08-20       Impact factor: 3.402

2.  Data fraud in clinical trials.

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

3.  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

4.  Scientific misconduct from the perspective of research coordinators: a national survey.

Authors:  Erica R Pryor; Barbara Habermann; Marion E Broome
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Review 5.  Reproducibility of research and preclinical validation: problems and solutions.

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Journal:  Nat Rev Clin Oncol       Date:  2013-10-01       Impact factor: 66.675

6.  Evaluation of the potential excess of statistically significant findings in published genetic association studies: application to Alzheimer's disease.

Authors:  Fotini K Kavvoura; Matthew B McQueen; Muin J Khoury; Rudolph E Tanzi; Lars Bertram; John P A Ioannidis
Journal:  Am J Epidemiol       Date:  2008-09-08       Impact factor: 4.897

7.  The implications of fraud in medical and scientific research.

Authors:  Alistair A P Slesser; Yassar A Qureshi
Journal:  World J Surg       Date:  2009-11       Impact factor: 3.352

8.  Development and influencing factors of compliance behaviors of investigators in clinical trials.

Authors:  Yu-Hong Shen; Mao-Zhong Li; Xin-Ping Zhang; Zheng-Qi Li; Li-Jun Wang
Journal:  J Huazhong Univ Sci Technolog Med Sci       Date:  2014-04-08

9.  Stewardship of Integrity in Scientific Communication.

Authors:  Kurt H Albertine
Journal:  Anat Rec (Hoboken)       Date:  2018-09       Impact factor: 2.064

Review 10.  How many scientists fabricate and falsify research? A systematic review and meta-analysis of survey data.

Authors:  Daniele Fanelli
Journal:  PLoS One       Date:  2009-05-29       Impact factor: 3.240

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