Int Urogynecol J (2017) 28:1439 DOI 10.1007/s00192-017-3359-7 LETTER TO THE EDITOR Comment on: Predictors of unsuccessful pessary fitting in women with prolapse: a cross-sectional study in general practice 1 2 3 4,5 Shiva Mansouri Hanis & Salman Khazaei & Erfan Ayubi & Kamyar Mansori Received: 24 March 2017 /Accepted: 15 April 2017 /Published online: 26 July 2017 The International Urogynecological Association 2017 Dear Sir, models . In other words, the temporality assumption (the We read the paper by Panman et al. entitled BPredictors of dependent variable responds to changes in the independent unsuccessful pessary fitting in women with prolapse: a variable) must be ensured in the prediction model. Thus, pre- cross-sectional study in general practice^ . This study was diction models resulting from cross-sectional designs can be performed to generate hypotheses about independent risk fac- misleading [2, 3]. tors for unsuccessful pessary fitting in general practice. It was Second, considering the variables patient age, higher BMI concluded that the variables lower patient age, higher body and underactive or inactive pelvic floor muscles as indepen- mass index (BMI) and underactive or inactive pelvic floor dent predictors of unsuccessful pessary fitting in women with muscles are factors predicting unsuccessful pessary fitting in prolapse are an optimistic interpretation. The internal and ex- general practice . However, although this was a valuable ternal validation of the prediction model must be done through investigation and its findings are very interesting, some meth- bootstrapping and split validation, respectively . odological issues should be considered. Therefore, the results of this study should be interpreted First, the study by Panman et al.  evaluated predictors of with consideration of the points discussed above. unsuccessful pessary fitting in women with prolapse in a Compliance with ethical standards cross-sectional study, whereas longitudinal studies are more appropriate for making assumptions for clinical prediction Conflicts of interest None. An author’s reply to this comment is available at doi:10.1007/ s00192-017-3421-5. References * Kamyar Mansori 1. Panman CM, Wiegersma M, Kollen BJ, Burger H, Berger MY, firstname.lastname@example.org Dekker JH. Predictors of unsuccessful pessary fitting in women with prolapse: a cross-sectional study in general practice. Int Urogynecol Dezful University of Medical Sciences, Dezful, Iran J. 2017:28(2):307–13. 2. Steyerberg E. Clinical prediction models: a practical approach to Department of Epidemiology, School of Public Health, Hamadan development, validation, and updating. New York: Springer- University of Medical Sciences, Hamadan, Iran Verlag; 2009. Department of Epidemiology, School of Public Health, Shahid 3. Ayubi E, Sani M. Carotid atherosclerosis is associated with left ven- Beheshti University of Medical Sciences, Tehran, Iran tricular diastolic function: methodological issue. J Echocardiogr. 2016;14(4):181. Social Development & Health Promotion Research Center, Gonabad 4. Noto D, Cefalù A, Barbagallo C, Ganci A, Cavera G, Fayer F, et al. University of Medical Sciences, Gonabad, Iran Baseline metabolic disturbances and the twenty-five years risk of Department of Epidemiology, School of Public Health, Iran incident cancer in a Mediterranean population. Nutr Metab University of Medical Sciences, Tehran, Iran Cardiovasc Dis. 2016;26(11):1020–5.
International Urogynecology Journal – Springer Journals
Published: Jul 26, 2017
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