Methodological framework for evaluation and prevention of publication bias in surgical studies

Danny Yakoub, Sukhmeet S. Panesar, Thanos Athanasiou

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

In a modern health system, clinical and healthcare decisions are more likely to be based on evidence than individual anecdotes. Doctors, unfortunately, are no better endowed with the judicial faculty than persons in other walks of life, and it is certainly not strange that distortions of facts, put out with apparent scientific accuracy, are everywhere in evidence. Publication bias may thereby mislead healthcare providers into one particular direction of care, and here is where testing for and identification of publication bias and study validity gain utmost importance. Assessment of publication bias can be attempted by either graphical or numerical methods. All tests are rather complimentary in that each contributes to a general indication of bias in included studies within a systematic review.

Original languageEnglish (US)
Title of host publicationKey Topics in Surgical Research and Methodology
PublisherSpringer Berlin Heidelberg
Pages429-440
Number of pages12
ISBN (Print)9783540719144
DOIs
StatePublished - Dec 1 2010

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ASJC Scopus subject areas

  • Medicine(all)

Cite this

Yakoub, D., Panesar, S. S., & Athanasiou, T. (2010). Methodological framework for evaluation and prevention of publication bias in surgical studies. In Key Topics in Surgical Research and Methodology (pp. 429-440). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-540-71915-1_34