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Prognostic models for surgical-site infection in gastrointestinal surgery: systematic review.
McLean, Kenneth A; Goel, Tanvi; Lawday, Samuel; Riad, Aya; Simoes, Joana; Knight, Stephen R; Ghosh, Dhruva; Glasbey, James C; Bhangu, Aneel; Harrison, Ewen M.
Afiliação
  • McLean KA; Department of Clinical Surgery, Royal Infirmary of Edinburgh, Edinburgh, UK.
  • Goel T; India Hub, NIHR Global Health Research Unit on Global Surgery, Ludhiana, India.
  • Lawday S; Bristol Centre for Surgical Research, University of Bristol, Bristol, UK.
  • Riad A; Department of Clinical Surgery, Royal Infirmary of Edinburgh, Edinburgh, UK.
  • Simoes J; Institute of Translational Medicine, University of Birmingham, Birmingham, UK.
  • Knight SR; Department of Clinical Surgery, Royal Infirmary of Edinburgh, Edinburgh, UK.
  • Ghosh D; India Hub, NIHR Global Health Research Unit on Global Surgery, Ludhiana, India.
  • Glasbey JC; Institute of Translational Medicine, University of Birmingham, Birmingham, UK.
  • Bhangu A; Institute of Translational Medicine, University of Birmingham, Birmingham, UK.
  • Harrison EM; Department of Clinical Surgery, Royal Infirmary of Edinburgh, Edinburgh, UK.
Br J Surg ; 110(11): 1441-1450, 2023 Oct 10.
Article em En | MEDLINE | ID: mdl-37433918
This study is about finding ways to predict if someone will get an infection after having surgery on their stomach and intestines. If doctors know who is at high risk of getting an infection, they can take steps to prevent it and help the patient recover faster. The researchers looked at all the recent studies that have tried to predict who might get an infection after surgery. They found 23 studies that were good enough to look at in more detail. The researchers found that the studies they looked at were not very good at predicting who might get an infection. Most of the studies did not even check if their predictions were accurate. The few studies that did check were not very good at it. This means that doctors cannot use these predictions to help their patients. This means that doctors need to find better ways to predict who might get an infection after surgery on their stomach and intestines. If they can do this, they can help their patients recover faster and avoid problems like infections.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies / Systematic_reviews Idioma: En Revista: Br J Surg Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Reino Unido País de publicação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies / Systematic_reviews Idioma: En Revista: Br J Surg Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Reino Unido País de publicação: Reino Unido