Appraising the Quality of Development and Reporting in Surgical Prediction Models

Appraising the Quality of Development and Reporting in Surgical Prediction Models

This cross-sectional study uses the Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis reporting guideline to assess 120 published studies about surgical prediction models.

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Bibliographische Detailangaben
Veröffentlicht in:Archives of surgery (Chicago. 1960) 2023-02, Vol.158 (2), p.214-216
Hauptverfasser: Marwaha, Jayson S, Chen, Hao Wei, Habashy, Karl, Choi, Jeff, Spain, David A, Brat, Gabriel A
Format: Artikel
Sprache:eng
Schlagworte:
Humans
Letters
Models, Statistical
Online First
Prognosis
Research Letter
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung:This cross-sectional study uses the Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis reporting guideline to assess 120 published studies about surgical prediction models.
ISSN:2168-6254
2168-6262
DOI:10.1001/jamasurg.2022.4488