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Archives of Disease in Childhood 2000;83:459-460; doi:10.1136/adc.83.6.459
Copyright © 2000 BMJ Publishing Group Ltd & Royal College of Paediatrics and Child Health.
Arch Dis Child 2000;83:459-460 ( December )

Leading article

Derivation versus validation

The first 150 words of the full text of this article appear below.

    Introduction

Assessing the probable clinical course of children presenting to their care is one of the day to day dilemmas facing the practising paediatrician. With accurate prognostication, invasive or expensive treatment may be targeted towards those most likely to benefit. There is little point in expending vital resources on, or administering invasive treatments to, children who are likely to recover without such intervention. Children with certain characteristics may tend to do better or worse than others. For example, younger children or those with specific clinical signs might be expected to deteriorate more rapidly. Past experience often acts as a guide for the experienced paediatrician. Algorithms (or prognostic models) can be developed to provide a means of transferring expert knowledge to the novice. For example, Apgar scores are routinely used to assess the health of newborn babies, and APACHE scores can be used as a measure of prognostication among admissions to paediatric . . . [Full text of this article]


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