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Overinterpretation and misreporting of prognostic factor studies in oncology: a systematic review.
Kempf, Emmanuelle; de Beyer, Jennifer A; Cook, Jonathan; Holmes, Jane; Mohammed, Seid; Nguyên, Tri-Long; Simera, Iveta; Trivella, Marialena; Altman, Douglas G; Hopewell, Sally; Moons, Karel G M; Porcher, Raphael; Reitsma, Johannes B; Sauerbrei, Willi; Collins, Gary S.
  • Kempf E; Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, Botnar Research Centre, University of Oxford, Oxford, UK.
  • de Beyer JA; Department of Medical Oncology, Henri Mondor and Albert Chenevier Teaching Hospital, APHP, Créteil, France.
  • Cook J; Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, Botnar Research Centre, University of Oxford, Oxford, UK.
  • Holmes J; Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, Botnar Research Centre, University of Oxford, Oxford, UK.
  • Mohammed S; Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, Botnar Research Centre, University of Oxford, Oxford, UK.
  • Nguyên TL; Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, Botnar Research Centre, University of Oxford, Oxford, UK.
  • Simera I; Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, Botnar Research Centre, University of Oxford, Oxford, UK.
  • Trivella M; Laboratory UPRES EA2415, Biostatistics, Epidemiology, Clinical Research and Health Economics, University of Montpellier, Montpellier, France.
  • Altman DG; Nuffield Department of Medicine, Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, UK.
  • Hopewell S; Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, Botnar Research Centre, University of Oxford, Oxford, UK.
  • Moons KGM; Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, Botnar Research Centre, University of Oxford, Oxford, UK.
  • Porcher R; Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, Botnar Research Centre, University of Oxford, Oxford, UK.
  • Reitsma JB; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
  • Sauerbrei W; Cochrane Netherlands, UMC Utrecht, Utrecht University, Utrecht, The Netherlands.
  • Collins GS; Department of Epidemiology, Hôtel Dieu Teaching Hospital, APHP, Paris, France.
Br J Cancer ; 119(10): 1288-1296, 2018 11.
Article en En | MEDLINE | ID: mdl-30353050
ABSTRACT

BACKGROUND:

Cancer prognostic biomarkers have shown disappointing clinical applicability. The objective of this study was to classify and estimate how study results are overinterpreted and misreported in prognostic factor studies in oncology.

METHODS:

This systematic review focused on 17 oncology journals with an impact factor above 7. PubMed was searched for primary clinical studies published in 2015, evaluating prognostic factors. We developed a classification system, focusing on three domains misleading reporting (selective, incomplete reporting, misreporting), misleading interpretation (unreliable statistical analysis, spin) and misleading extrapolation of the results (claiming irrelevant clinical applicability, ignoring uncertainty).

RESULTS:

Our search identified 10,844 articles. The 98 studies included investigated a median of two prognostic factors (Q1-Q3, 1-7). The prognostic factors' effects were selectively and incompletely reported in 35/98 and 24/98 full texts, respectively. Twenty-nine articles used linguistic spin in the form of strong statements. Linguistic spin rejecting non-significant results was found in 34 full-text results and 15 abstract results sections. One in five articles had discussion and/or abstract conclusions that were inconsistent with the study findings. Sixteen reports had discrepancies between their full-text and abstract conclusions.

CONCLUSIONS:

Our study provides evidence of frequent overinterpretation of findings of prognostic factor assessment in high-impact medical oncology journals.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Biomarcadores de Tumor / Oncología Médica / Neoplasias Tipo de estudio: Prognostic_studies / Systematic_reviews Límite: Humans Idioma: En Año: 2018 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Biomarcadores de Tumor / Oncología Médica / Neoplasias Tipo de estudio: Prognostic_studies / Systematic_reviews Límite: Humans Idioma: En Año: 2018 Tipo del documento: Article