Letter to editor: The waist circumference-adjusted associations between hyperuricemia and other lifestyle-related diseases: methodological issues in cross-sectional study
© The Author(s) 2017
Received: 25 March 2017
Accepted: 8 April 2017
Published: 11 April 2017
Miyagami et al.  evaluated the predictive performance hyperuricemia on several lifestyle-related diseases in a cross-sectional study, whereas longitudinal researches are necessary for making assumptions in clinical prediction models . In other words, assurance of the temporality assumption presence (the dependent variable has to occur after the independent variable) is essential in the prediction model. Thus, prediction models resulting from cross-sectional designs can be misleading [2, 3].
Considering the predictive performance of hyperuricemia on several lifestyle-related diseases is an optimistic interpretation. The internal and external validation of the prediction model must be done through bootstrapping and split-validation, respectively .
Therefore, according to the above explanation, it is necessary considering to this point in interpretation of results of this study for readers.
All authors had active participation in preparation of manuscript. All authors read and approved the final manuscript.
The authors declare that they have no competing interests.
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- Miyagami T, Yokokawa H, Fujibayashi K, Gunji T, Sasabe N, Okumura M, et al. The waist circumference-adjusted associations between hyperuricemia and other lifestyle-related diseases. Diabetol Metab Syndr. 2017;9:11.View ArticlePubMedPubMed CentralGoogle Scholar
- Steyerberg E. Clinical prediction models: a practical approach to development, validation, and updating. Berlin: Springer Science & Business Media; 2008.Google Scholar
- Pakzad R, Safiri S. Letter to the editor: phosphorus as predictive factor for erectile dysfunction in middle aged men: a cross sectional study in Korea; methodological issues to avoid prediction fallacy. Investig Clin Urol. 2017;58:146–7.View ArticlePubMedPubMed CentralGoogle Scholar
- Noto D, Cefalù A, Barbagallo C, Ganci A, Cavera G, Fayer F, et al. Baseline metabolic disturbances and the twenty-five years risk of incident cancer in a Mediterranean population. Nutr Metab Cardiovasc Dis. 2016;26:1020–5.View ArticlePubMedGoogle Scholar