Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Original Article
  • Published:

Is funding source related to study reporting quality in obesity or nutrition randomized control trials in top-tier medical journals?

Abstract

Background:

Faithful and complete reporting of trial results is essential to the validity of the scientific literature. An earlier systematic study of randomized controlled trials (RCTs) found that industry-funded RCTs appeared to be reported with greater quality than non-industry-funded RCTs. The aim of this study was to examine the association between systematic differences in reporting quality and funding status (that is, industry funding vs non-industry funding) among recent obesity and nutrition RCTs published in top-tier medical journals.

Methods:

Thirty-eight obesity or nutrition intervention RCT articles were selected from high-profile, general medical journals (The Lancet, Annals of Internal Medicine, JAMA and the British Medical Journal) published between 2000 and 2007. Paired papers were selected from the same journal published in the same year, one with and the other without industry funding. The following identifying information was redacted: journal, title, authors, funding source and institution(s). Then three raters independently and blindly rated each paper according to the Chalmers method, and total reporting quality scores were calculated.

Findings:

The inter-rater reliability (Cronbach's alpha) was 0.82 (95% confidence interval=0.80–0.84). The total mean (M) and s.d. of Chalmers Index quality score (out of a possible 100) for industry-funded studies were M=84.5, s.d.=7.04 and for non-industry-funded studies they were M=79.4, s.d.=13.00. A Wilcoxon matched-pairs signed-ranks test indicates no significant rank difference in the distributions of total quality scores between funding sources, Z=−0.966, P=0.334 (two tailed).

Interpretation:

Recently published RCTs on nutrition and obesity that appear in top-tier journals seem to be equivalent in quality of reporting, regardless of funding source. This may be a result of recent reporting of quality statements and efforts of journal editors to raise all papers to a common standard.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Similar content being viewed by others

References

  1. Moher D . CONSORT: an evolving tool to help improve the quality of reports of randomized controlled trials. Consolidated Standards of Reporting Trials. JAMA 1998; 279: 1489–1491.

    Article  CAS  Google Scholar 

  2. Mills EJ, Wu P, Gagnier J, Devereaux PJ . The quality of randomized trial reporting in leading medical journals since the revised CONSORT statement. Contemp Clin Trials 2005; 26: 480–487.

    Article  Google Scholar 

  3. Moher D, Jones A, Lepage L . Use of the CONSORT statement and quality of reports of randomized trials: a comparative before-and-after evaluation. JAMA 2001; 285: 1992–1995.

    Article  CAS  Google Scholar 

  4. Allison DB . The antidote to bias in research. Science 2009; 326: 522–523.

    Article  CAS  Google Scholar 

  5. Allison DB, Cope MB . Randomized controlled trials with statistically nonsignificant results. JAMA 2010; 304: 965.

    Article  CAS  Google Scholar 

  6. Cope MB, Allison DB . White hat bias: a threat to the integrity of scientific reporting. Acta Paediatr 2010; 99: 1615–1617.

    Article  Google Scholar 

  7. Cope MB, Allison DB . White hat bias: examples of its presence in obesity research and a call for renewed commitment to faithfulness in research reporting. Int J Obes Relat Metab Disord 2010; 34: 84–88.

    Article  CAS  Google Scholar 

  8. Rennie D . CONSORT revised–improving the reporting of randomized trials. JAMA 2001; 285: 2006–2007.

    Article  CAS  Google Scholar 

  9. Thomas O, Thabane L, Douketis J, Chu R, Westfall AO, Allison DB . Industry funding and the reporting quality of large long-term weight loss trials. Int J Obes Relat Metab Disord 2008; 32: 1531–1536.

    Article  CAS  Google Scholar 

  10. Chalmers TC, Smith Jr H, Blackburn B, Silverman B, Schroeder B, Reitman D et al. A method for assessing the quality of a randomized control trial. Control Clin Trials 1981; 2: 31–49.

    Article  CAS  Google Scholar 

  11. Cronbach LJ . Coefficient alpha and the internal structure of tests. Psychometrika 1951; 16: 297–334.

    Article  Google Scholar 

  12. Shapiro SS, Wilk MB . An analysis of variance test for normality (complete samples). Biometrika 1965; 52: 591–611.

    Article  Google Scholar 

  13. Agency for Healthcare Research and Quality. Systems to Rate the Strength of Scientific Evidence, 47, 02-E016, 1-11. US Department of Health and Human Services: Washington, DC, 2002. (evidence report).

  14. Detsky AS, Naylor CD, O’Rourke K, McGeer AJ, L’Abbe KA . Incorporating variations in the quality of individual randomized trials into meta-analysis. J Clin Epidemiol 1992; 45: 255–265.

    Article  CAS  Google Scholar 

  15. Thabane L, Chu R, Cuddy K, Douketis J . What is the quality of reporting in weight loss intervention studies? A systematic review of randomized controlled trials. Int J Obes Relat Metab Disord 2007; 31: 1554–1559.

    Article  CAS  Google Scholar 

  16. Myers JP, vom Saal FS, Akingbemi BT, Arizono K, Belcher S, Colborn T et al. Why public health agencies cannot depend on good laboratory practices as a criterion for selecting data: the case of bisphenol A. Environ Health Perspect 2009; 117: 309–315.

    Article  CAS  Google Scholar 

  17. Klayman J, Ha Y-W . Confirmation, disconfirmation, and information in hypothesis testing. Psychol Rev 1987; 94: 211–228.

    Article  Google Scholar 

  18. Klaczynski PA, Narasimham G . Development of scientific reasoning biases: Cognitive versus ego-protective explanations. Dev Psychol 1998; 34: 175–187.

    Article  CAS  Google Scholar 

  19. Hart W, Albarracin D, Eagly AH, Brechan I, Lindberg MJ, Merrill L . Feeling validated versus being correct: a meta-analysis of selective exposure to information. Psychol Bull 2009; 135: 555–588.

    Article  Google Scholar 

Download references

Acknowledgements

This work was supported in part by NIH grants R01DK078826, P30DK056336 and T32HL007457.

Disclaimer

The opinions expressed are those of the authors and not necessarily the NIH or any organization with which the authors are affiliated.

Author contributions

David Allison—conceived the project, supervised the execution, designed the analysis plan, and contributed to the drafting and editing of the manuscript. Kathryn Kaiser—managed the resolution of the coding, performed the analysis, contributed to the writing and editing of the manuscript. Stacey Cofield—assisted with selection of the coding system, supervised data collection, assisted with coding scheme and analysis plan. Olivia Affuso—assisted with coding scheme and analysis. Mark Beasley—assisted with analysis, editing of manuscript. All others—scored papers, entered data and provided comments on the manuscript.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to D B Allison.

Ethics declarations

Competing interests

Dr Allison has received grants, honoraria, donations, royalties, and consulting fees from numerous publishers, food, beverage, pharmaceutical companies, and other commercial and nonprofit entities with interests in obesity and randomized controlled trials.

Appendix

Appendix

Table A1

Table a1 Paired papers rated for this analysis

Table A2

Table a2 Points assigned per answer option per Chalmers’ item weighting schemea,10

Rights and permissions

Reprints and permissions

About this article

Cite this article

Kaiser, K., Cofield, S., Fontaine, K. et al. Is funding source related to study reporting quality in obesity or nutrition randomized control trials in top-tier medical journals?. Int J Obes 36, 977–981 (2012). https://doi.org/10.1038/ijo.2011.207

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/ijo.2011.207

Keywords

This article is cited by

Search

Quick links