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Systematic review and narrative synthesis of surgeons' perception of postoperative outcomes and risk

BACKGROUND: The accuracy with which surgeons can predict outcomes following surgery has not been explored in a systematic way. The aim of this review was to determine how accurately a surgeon's ‘gut feeling’ or perception of risk correlates with patient outcomes and available risk scoring syste...

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Autores principales: Dilaver, N. M., Gwilym, B. L., Preece, R., Twine, C. P., Bosanquet, D. C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Ltd 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6996626/
https://www.ncbi.nlm.nih.gov/pubmed/32011813
http://dx.doi.org/10.1002/bjs5.50233
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author Dilaver, N. M.
Gwilym, B. L.
Preece, R.
Twine, C. P.
Bosanquet, D. C.
author_facet Dilaver, N. M.
Gwilym, B. L.
Preece, R.
Twine, C. P.
Bosanquet, D. C.
author_sort Dilaver, N. M.
collection PubMed
description BACKGROUND: The accuracy with which surgeons can predict outcomes following surgery has not been explored in a systematic way. The aim of this review was to determine how accurately a surgeon's ‘gut feeling’ or perception of risk correlates with patient outcomes and available risk scoring systems. METHODS: A systematic review was undertaken in accordance with PRISMA guidelines. A narrative synthesis was performed in accordance with the Guidance on the Conduct of Narrative Synthesis In Systematic Reviews. Studies comparing surgeons' preoperative or postoperative assessment of patient outcomes were included. Studies that made comparisons with risk scoring tools were also included. Outcomes evaluated were postoperative mortality, general and operation‐specific morbidity and long‐term outcomes. RESULTS: Twenty‐seven studies comprising 20 898 patients undergoing general, gastrointestinal, cardiothoracic, orthopaedic, vascular, urology, endocrine and neurosurgical operations were included. Surgeons consistently overpredicted mortality rates and were outperformed by existing risk scoring tools in six of seven studies comparing area under receiver operating characteristic (ROC) curves (AUC). Surgeons' prediction of general morbidity was good, and was equivalent to, or better than, pre‐existing risk prediction models. Long‐term outcomes were poorly predicted by surgeons, with AUC values ranging from 0·51 to 0·75. Four of five studies found postoperative risk estimates to be more accurate than those made before surgery. CONCLUSION: Surgeons consistently overestimate mortality risk and are outperformed by pre‐existing tools; prediction of longer‐term outcomes is also poor. Surgeons should consider the use of risk prediction tools when available to inform clinical decision‐making.
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spelling pubmed-69966262020-02-05 Systematic review and narrative synthesis of surgeons' perception of postoperative outcomes and risk Dilaver, N. M. Gwilym, B. L. Preece, R. Twine, C. P. Bosanquet, D. C. BJS Open Systematic Reviews BACKGROUND: The accuracy with which surgeons can predict outcomes following surgery has not been explored in a systematic way. The aim of this review was to determine how accurately a surgeon's ‘gut feeling’ or perception of risk correlates with patient outcomes and available risk scoring systems. METHODS: A systematic review was undertaken in accordance with PRISMA guidelines. A narrative synthesis was performed in accordance with the Guidance on the Conduct of Narrative Synthesis In Systematic Reviews. Studies comparing surgeons' preoperative or postoperative assessment of patient outcomes were included. Studies that made comparisons with risk scoring tools were also included. Outcomes evaluated were postoperative mortality, general and operation‐specific morbidity and long‐term outcomes. RESULTS: Twenty‐seven studies comprising 20 898 patients undergoing general, gastrointestinal, cardiothoracic, orthopaedic, vascular, urology, endocrine and neurosurgical operations were included. Surgeons consistently overpredicted mortality rates and were outperformed by existing risk scoring tools in six of seven studies comparing area under receiver operating characteristic (ROC) curves (AUC). Surgeons' prediction of general morbidity was good, and was equivalent to, or better than, pre‐existing risk prediction models. Long‐term outcomes were poorly predicted by surgeons, with AUC values ranging from 0·51 to 0·75. Four of five studies found postoperative risk estimates to be more accurate than those made before surgery. CONCLUSION: Surgeons consistently overestimate mortality risk and are outperformed by pre‐existing tools; prediction of longer‐term outcomes is also poor. Surgeons should consider the use of risk prediction tools when available to inform clinical decision‐making. John Wiley & Sons, Ltd 2019-11-26 /pmc/articles/PMC6996626/ /pubmed/32011813 http://dx.doi.org/10.1002/bjs5.50233 Text en © 2019 The Authors. BJS Open published by John Wiley & Sons Ltd on behalf of BJS Society Ltd This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Systematic Reviews
Dilaver, N. M.
Gwilym, B. L.
Preece, R.
Twine, C. P.
Bosanquet, D. C.
Systematic review and narrative synthesis of surgeons' perception of postoperative outcomes and risk
title Systematic review and narrative synthesis of surgeons' perception of postoperative outcomes and risk
title_full Systematic review and narrative synthesis of surgeons' perception of postoperative outcomes and risk
title_fullStr Systematic review and narrative synthesis of surgeons' perception of postoperative outcomes and risk
title_full_unstemmed Systematic review and narrative synthesis of surgeons' perception of postoperative outcomes and risk
title_short Systematic review and narrative synthesis of surgeons' perception of postoperative outcomes and risk
title_sort systematic review and narrative synthesis of surgeons' perception of postoperative outcomes and risk
topic Systematic Reviews
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6996626/
https://www.ncbi.nlm.nih.gov/pubmed/32011813
http://dx.doi.org/10.1002/bjs5.50233
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