Clinical decision-making in azoospermic men

in search of the ideal prediction model

Research output: Contribution to journalComment/debate

3 Citations (Scopus)

Abstract

Clinical prediction models estimate the individual chance of an existing condition (diagnostic) or of a future health event (prognostic) in patients, using information about their personal characteristics, history, test results and/or treatment. In this issue of Human Reproduction, two separate papers report on the development of prediction models in severe male infertility. The first aims to predict successful testicular sperm extraction (TESE) in men with non-obstructive azoospermia (Cissen et al., 2016), while the second estimates the chances of live birth in couples undergoing ICSI using surgically extracted sperm (Meijerink et al., 2016).

What do these models mean for fertility clinicians and their patients? To answer this question we need to consider not only the validity of these models and the methods used to generate them but also the clinical context in which these models might be used.
Original languageEnglish
Pages (from-to)1931-1933
Number of pages3
JournalHuman Reproduction
Volume31
Issue number9
Early online date12 Jul 2016
DOIs
Publication statusPublished - Sep 2016

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Spermatozoa
Azoospermia
Intracytoplasmic Sperm Injections
Male Infertility
Live Birth
Reproduction
Fertility
History
Health
Clinical Decision-Making
Therapeutics

Cite this

Clinical decision-making in azoospermic men : in search of the ideal prediction model. / McLernon, David J; Bhattacharya, Siladitya.

In: Human Reproduction, Vol. 31, No. 9, 09.2016, p. 1931-1933.

Research output: Contribution to journalComment/debate

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