Literature DB >> 16235472

Relationship between journal impact factor and levels of evidence in anaesthesia.

C R Bain1, P S Myles.   

Abstract

Evidence-based medicine uses a hierarchy of publication types according to their vulnerability to bias. A widely used measure of journal "quality" is its impact factor, which describes the citation rate of its publications. We investigated the relationship between impact factor for eight anaesthesia journals and publication type with respect to their level of evidence 1-4 using Spearman rank correlation (rho). There were 1418 original publications during 2001 included in the analysis. The number (%) of publication types according to evidence-based medicine level were: level 1:6 (0.4%), level 2:533 (38%) level 3:329 (23%), level 4:550 (39%). There was no correlation between journal ranking according to impact factor and publication type (rho =-0.03, P=0.25). The correlation between journal rank and the proportion of publications that were randomized trials was -0.35 (P<0.001). The correlation between journal rank and number of publications was 0.65 (P<0.001). The correlation between journal rank and number of level 1 or 2 studies was 0.58 (P<0.001). The overall level of evidence published in anaesthesia journals was high. Journal rank according to impact factor is related to the number of publications, but not the proportion of publications that are evidence-based medicine level 1 or 2.

Mesh:

Year:  2005        PMID: 16235472     DOI: 10.1177/0310057X0503300503

Source DB:  PubMed          Journal:  Anaesth Intensive Care        ISSN: 0310-057X            Impact factor:   1.669


  4 in total

1.  Methodological quality of preclinical stroke studies is not required for publication in high-impact journals.

Authors:  Jens Minnerup; Heike Wersching; Kai Diederich; Matthias Schilling; Erich Bernd Ringelstein; Jürgen Wellmann; Wolf-Rüdiger Schäbitz
Journal:  J Cereb Blood Flow Metab       Date:  2010-06-02       Impact factor: 6.200

2.  Faculty appointment and promotion in Taiwan's medical schools, a systematic analysis.

Authors:  Jiunn-Tyng Yeh; Boaz Shulruf; Hsin-Chen Lee; Pin-Hsiang Huang; Wen-Hua Kuo; Tyzh-Chang Hwang; Chen-Huan Chen
Journal:  BMC Med Educ       Date:  2022-05-10       Impact factor: 3.263

3.  Deep impact: unintended consequences of journal rank.

Authors:  Björn Brembs; Katherine Button; Marcus Munafò
Journal:  Front Hum Neurosci       Date:  2013-06-24       Impact factor: 3.169

Review 4.  Prestigious Science Journals Struggle to Reach Even Average Reliability.

Authors:  Björn Brembs
Journal:  Front Hum Neurosci       Date:  2018-02-20       Impact factor: 3.169

  4 in total

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