Assessment of multivariate logistic regression analysis in articles published in Turkish cardiology journals [Turk Kardiyol Dern Ars]
Turk Kardiyol Dern Ars. 2012; 40(2): 129-134 | DOI: 10.5543/tkda.2012.01760

Assessment of multivariate logistic regression analysis in articles published in Turkish cardiology journals

İbrahim Halil Tanboğa1, Mustafa Kurt2, Turgay Işık2, Ahmet Kaya2, Mehmet Ekinci2, Enbiya Aksakal3, Serdar Sevimli3, Murat Çaylı1
1Adana Numune Education And Research Hospital, Department of Cardiology, Adana, Turkey
2Erzurum Education And Research Hospital, Department of Cardiology, Erzurum, Turkey
3Ataturk University Medical School, Department of Cardiology, Erzurum, Turkey


OBJECTIVES
We aimed to assess the use and reporting-quality of multivariate logistic regression analysis (MVLRA) in articles published in two Turkish cardiology journals.

STUDY DESIGN
We reviewed all original articles published in two Turkish cardiology journals (the Anatolian Journal of Cardiology and Archives of the Turkish Society of Cardiology) between January 2010 and August 2011. The articles that used MVLRA were analyzed comprehensively based on 10 predefined criteria.

RESULTS
A total of 212 articles were reviewed, of which MVLRA was used in 33 (15.6%). Twenty-nine articles (%87.9) properly included the main components of the MVRLA, namely, odds ratios, 95% confidence intervals, and p values. However, none of the articles reported MVRLA-related data such as the modeling type, validation, goodness-fit, multicollinearity and interaction tests. There were severe reporting flaws and faults as to the ratio of the total number of events or sample size to the number of independent variables included into the MVLRA model, the use of fitness procedures, and how the independent variables were selected.

CONCLUSION
Our results indicate that MVLRA has become a standard statistical method in the Turkish cardiology literature. However, overall reporting of MVLRA data still has seriously inadequate and inaccurate aspects.

Keywords: Cardiology, logistic models, models, statistical; multivariate analysis; publishing/standards

How to cite this article
İbrahim Halil Tanboğa, Mustafa Kurt, Turgay Işık, Ahmet Kaya, Mehmet Ekinci, Enbiya Aksakal, Serdar Sevimli, Murat Çaylı. Assessment of multivariate logistic regression analysis in articles published in Turkish cardiology journals. Turk Kardiyol Dern Ars. 2012; 40(2): 129-134

Corresponding Author: İbrahim Halil Tanboğa, Türkiye
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