Improving early warning scores – more data, better validation, the same response

Improving early warning scores – more data, better validation, the same response: a reply

“…We thank Mackay et al. for their comments on our editorial , which accompanied the article by Chiu et al. and agree with the definition of external validation that they provide.…”

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Improving early warning scoresmore data, better validation, the same response: a replyWe thank Mackay et al [1] for their comments on our editorial [2], which accompanied the article by Chiu et al [3] and agree with the definition of external validation that they provide. In broad terms, internal validation is concerned with reproducibility of a prediction model, whereas external validation is concerned with the transportability of model predictions to other settings and populations.

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Improving early warning scores – more data, better validation, the same response

“…We thank Oglesby et al. for their interesting editorial accompanying our recent paper . We value their interpretation that a single standardised early warning score (EWS) may not be applicable to all types of patients and are grateful for their qualified support of the concept of future population‐specific EWS.…”

Clinical prediction tools for rare complications: are large administrative healthcare databases the answer?

“…Most prediction tools require further calibration in other populations and practice settings. For example, the performance of a clinical prediction tool can vary widely between specific patient populations, such as medical vs. surgical patients, or between surgical specialties . Previous analyses have suggested that the effect size estimates generated from large observational studies can be inflated and inaccurate , emphasising the need for prospective validation.…”

“…Most prediction tools require further calibration in other populations and practice settings. For example, the performance of a clinical prediction tool can vary widely between specific patient populations, such as medical vs. surgical patients, or between surgical specialties [12].…”