Literature DB >> 33766262

Statistical Inference in Abstracts Published in Cardiovascular Journals.

Andreas Stang1, Markus Deckert2, Susanne Stolpe2.   

Abstract

BACKGROUND: In 2016, the American Statistical Association stated that the use of statistical significance leads to distortion of the scientific process. The principal alternative to significance or null hypothesis testing (NHT) is estimation with point estimates and confidence intervals (CIs).
OBJECTIVES: The aim of this study was to determine the time trend of statistical inference and statistical reporting style in abstracts in major cardiovascular journals.
METHODS: A total of 84,250 abstracts published from 1975 to 2019 in 9 high-ranking cardiovascular journals (Circulation, Circulation Research, European Heart Journal, European Heart Journal: Cardiovascular Imaging, European Journal of Heart Failure, Journal of the American College of Cardiology, JACC: Cardiovascular Imaging, JACC: Cardiovascular Interventions, and JAMA Cardiology) were reviewed; in particular, proportions of abstracts containing statistical inference and its major variants (NHT, significance testing) were compared over time and among journals.
RESULTS: Overall, 49,924 abstracts (59%) contained statistical inference. Among these abstracts, NHT was the most frequent reporting style of statistical inference (79% among all journals). Journals differed considerably in the prevalence of CI reporting (1% to 78% in 2017-2019). With the exception of 2 journals, the proportion of abstracts containing CIs was higher in the more recent period. From 2013-2015 to 2017-2019, the proportion of abstracts containing only CIs increased by 5 (95% CI: 0 to 10), 18 (95% CI: 15 to 21), and 9 (95% CI: 3 to 15) percentage points in the European Heart Journal, the Journal of the American College of Cardiology, and JACC: Cardiovascular Imaging, respectively.
CONCLUSIONS: NHT is still the prevailing reporting style of statistical inference in major cardiovascular journals. Reporting of CIs in abstracts of major cardiovascular journals appears to be growing more popular.
Copyright © 2021 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  cardiovascular; confidence intervals; statistics; statistics and numerical data

Year:  2021        PMID: 33766262     DOI: 10.1016/j.jacc.2021.01.031

Source DB:  PubMed          Journal:  J Am Coll Cardiol        ISSN: 0735-1097            Impact factor:   24.094


  1 in total

1.  Reporting of Statistical Inference in Abstracts of Major Cancer Journals, 1990 to 2020.

Authors:  Andreas Stang; Börge Schmidt
Journal:  JAMA Netw Open       Date:  2022-06-01
  1 in total

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