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.
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 language | English |
|---|---|
| Pages (from-to) | 1931-1933 |
| Number of pages | 3 |
| Journal | Human Reproduction |
| Volume | 31 |
| Issue number | 9 |
| Early online date | 12 Jul 2016 |
| DOIs |
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| Publication status | Published - Sept 2016 |
Bibliographical note
FundingNo external funding was either sought or obtained for this study.
