Comparisons between protocols and publications of case-control studies: analysis of potential causes of non-reproducibility and recommendations for enhancing the quality ... View Full Text


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Article Info

DATE

2019-03-19

AUTHORS

Haifeng Hou, Guoyong Ding, Xuan Zhao, Zixiu Meng, Jiangmin Xu, Zheng Guo, Yulu Zheng, Dong Li, Wei Wang

ABSTRACT

BackgroundSelective reporting of results in published case-control studies has been widely suspected, but little comprehensive information on selective reporting is available with regard to case-control studies. We aimed to evaluate the concordance of findings between publications and the protocols of case-control studies and to assess the level of selective reporting of results in case-control studies.MethodsThe databases of Embase, Medline, Scopus, and Web of Science were searched to identify case-control study protocols published between January 1, 1990 and December 31, 2017. The numbers and characteristics of predefined exposures (or factors) were extracted from the protocols. The reported and unreported factors were both collected from the published studies and protocols. The frequency of selective reporting of results were estimated by identifying the discrepancies of factors between the protocols and the published studies. Study sample size and the extent of selective reporting of factors were measured by a Spearman correlation analysis.ResultsFourteen protocols with 24 published studies and 159 factors were identified, of which eight protocols (57.1%) had discrepancies between the publications and protocols. The prevalence of incomplete reporting in published case-control studies was 42.9% (6/14), with participant characteristics, anthropometric and laboratory measurement variables more likely to be unreported. A total of 16,835 cases and 56,049 controls were recruited in the 14 protocols of case-control studies (sample size ranges from 428 to 52,596 per study). Sample size had no statistical significance with selective reporting of results (P > 0.05).ConclusionThe study protocols should be publicly available prior to the completion of case-control studies so that the potential bias can be assessed by the readers. Our findings highlight the need for investigators, peer reviewers, and readers to exercise increased awareness and scrutiny due to the undesirable practice of selective reporting of results in medical sciences causing the loss of potentially important information, thus impacting quality of personalized attitude in healthcare in the context of the predictive, preventive, and personalized medicine. More... »

PAGES

101-108

References to SciGraph publications

  • 2017-03-09. Pattern recognition for predictive, preventive, and personalized medicine in cancer in EPMA JOURNAL
  • 2010-08-18. Asthma in changing environments - chances and challenges of international research collaborations between South America and Europe - study protocol and description of the data acquisition of a case-control-study in BMC PULMONARY MEDICINE
  • 2016-05-11. Protocol for a retrospective, controlled cohort study of the impact of a change in Nature journals’ editorial policy for life sciences research on the completeness of reporting study design and execution in SCIENTOMETRICS
  • 2018-09. High serum 25-hydroxyvitamin D concentration in patients with a recent diagnosis of non-melanoma skin cancer: a case-control study in EUROPEAN JOURNAL OF DERMATOLOGY
  • 2014-02-05. Study on genes of the serotonergic system and suicidal behavior: protocol for a case–control study in Mexican population in BMC PSYCHIATRY
  • 2018-09-12. Risk factors for multidrug-resistant tuberculosis among tuberculosis patients in Serbia: a case-control study in BMC PUBLIC HEALTH
  • 2018-02-21. The crucial role of multiomic approach in cancer research and clinically relevant outcomes in EPMA JOURNAL
  • 2012-11-01. General Report & Recommendations in Predictive, Preventive and Personalised Medicine 2012: White Paper of the European Association for Predictive, Preventive and Personalised Medicine in EPMA JOURNAL
  • 2016-10-25. Medicine in the early twenty-first century: paradigm and anticipation - EPMA position paper 2016 in EPMA JOURNAL
  • 1997-04. A case-control study on alcohol and seizures: study design, protocol, and data collection in NEUROLOGICAL SCIENCES
  • 2005-08-08. Case-control study on analgesics and nephropathy (SAN): protocol in BMC NEPHROLOGY
  • 2013-12-21. Social and economic impact of diabetics in Bangladesh: protocol for a case–control study in BMC PUBLIC HEALTH
  • 2008-02-26. Individual and occupational risk factors for knee osteoarthritis – Study protocol of a case control study in BMC MUSCULOSKELETAL DISORDERS
  • 2014-12-10. Multicenter case–control study protocol of pneumonia etiology in children: Global Approach to Biological Research, Infectious diseases and Epidemics in Low-income countries (GABRIEL network) in BMC INFECTIOUS DISEASES
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