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


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
Number of pages12
ISBN (Print)9783540719144
StatePublished - Dec 1 2010
Externally publishedYes

ASJC Scopus subject areas

  • Medicine(all)


Dive into the research topics of 'Methodological framework for evaluation and prevention of publication bias in surgical studies'. Together they form a unique fingerprint.

Cite this