Literature DB >> 25379862

"Surgeons' intuition" versus "prognostic models": predicting the risk of liver resections.

Olivier Farges1, Eric Vibert, Cyril Cosse, François René Pruvot, Yves Patrice Le Treut, Olivier Scatton, Christophe Laurent, Jean Yves Mabrut, Jean-Mac Regimbeau, Mustapha Adham, Bruno Falissard, Emmanuel Boleslawski.   

Abstract

OBJECTIVES: Analyze surgeons' anticipation of the risk of hepatectomy.
BACKGROUND: Risk prediction enables adequate counseling and improves safety. Models are available that predict postoperative morbidity and length of stay (LOS), but their performance is ill-defined. Surgeons' ability to predict these endpoints is unknown.
METHODS: This prospectively designed, multicenter trial included all adult patients undergoing elective hepatectomy. Primary endpoints were 90-day morbidity and mortality and LOS. Explanatory variables included (i) "surgeons' intuition" (surgeons' anticipation) of the difficulty of the procedure, postoperative morbidity, and LOS and (ii) "prognostic models" (models based on objective clinic-biological variables) available at the time of anticipation. The performance of "surgeons' intuition" and "prognostic models" was assessed by area under the receiver operating characteristic curve and its accuracy by the diagnostic odd ratios.
RESULTS: Between October 2012 and September 2013, 946 patients operated on in hepato-pancreatico-biliary units in 9 teaching hospitals by 26 surgeons were enrolled. Mortality, morbidity, and median LOS were 3.3%, 49.4%, and 8 days, respectively. Preoperative surgeons' intuition of difficulty correlated with actual difficulty (Kendall τ=0.97; P=0.0001) but not with morbidity (Kendall τ=0.01; P=0.0006) or LOS (Kendall τ=0.10; P=0.004). Morbidity was predicted accurately in 38.8% of patients and underestimated in 38.2%. Anticipation of LOS was accurate (±2 days) in 30.0% and underestimated in 47.1%. The accuracies and performance of preoperative and postoperative "surgeons' intuition" were not different and were not different between centers or surgeons' experience. The accuracy of "prognostic models" was significantly greater than that of anticipations and not improved by adding "anticipations" to the model.
CONCLUSIONS: Surgeons should be aware of the limited accuracy of their intuition.

Entities:  

Mesh:

Year:  2014        PMID: 25379862     DOI: 10.1097/SLA.0000000000000961

Source DB:  PubMed          Journal:  Ann Surg        ISSN: 0003-4932            Impact factor:   12.969


  10 in total

1.  A simple web-based risk calculator (www.anastomoticleak.com) is superior to the surgeon's estimate of anastomotic leak after colon cancer resection.

Authors:  T Sammour; M Lewis; M L Thomas; M J Lawrence; A Hunter; J W Moore
Journal:  Tech Coloproctol       Date:  2016-12-19       Impact factor: 3.781

2.  Improving the quality of liver resection: a systematic review and critical analysis of the available prognostic models.

Authors:  Chetana Lim; Cornelius H Dejong; Oliver Farges
Journal:  HPB (Oxford)       Date:  2014-10-17       Impact factor: 3.647

3.  Contributing factors to severe complications after liver resection: an aggregate root cause analysis in 105 consecutive patients.

Authors:  Kholoud Houssaini; Oumayma Lahnaoui; Amine Souadka; Mohamed-Anass Majbar; Abdelilah Ghanam; Brahim El Ahmadi; Zakaria Belkhadir; Leila Amrani; Raouf Mohsine; Amine Benkabbou
Journal:  Patient Saf Surg       Date:  2020-09-29

4.  Postoperative Mortality after Liver Resection for Perihilar Cholangiocarcinoma: Development of a Risk Score and Importance of Biliary Drainage of the Future Liver Remnant.

Authors:  Jimme K Wiggers; Bas Groot Koerkamp; Kasia P Cieslak; Alexandre Doussot; David van Klaveren; Peter J Allen; Marc G Besselink; Olivier R Busch; Michael I D'Angelica; Ronald P DeMatteo; Dirk J Gouma; T Peter Kingham; Thomas M van Gulik; William R Jarnagin
Journal:  J Am Coll Surg       Date:  2016-04-05       Impact factor: 6.113

Review 5.  Less Is More: A Narrative Review of Deciding When Surgical Intervention Should Be Withheld.

Authors:  Annabel Stout; Jack Hamer; Tahlia Sharples; Farshad Tahmasebi
Journal:  Cureus       Date:  2022-03-18

6.  Comparison of score-based prediction of 90-day mortality after liver resection.

Authors:  Tanja Knoblich; Ulf Hinz; Christos Stravodimos; Michael R Schön; Arianeb Mehrabi; Markus W Büchler; Katrin Hoffmann
Journal:  BMC Surg       Date:  2020-01-29       Impact factor: 2.102

Review 7.  Systematic review and narrative synthesis of surgeons' perception of postoperative outcomes and risk.

Authors:  N M Dilaver; B L Gwilym; R Preece; C P Twine; D C Bosanquet
Journal:  BJS Open       Date:  2019-11-26

8.  The PERCEIVE quantitative study: PrEdiction of Risk and Communication of outcome following major lower-limb amputation: protocol for a collaboratiVE study.

Authors:  Brenig L Gwilym; Cherry-Ann Waldron; Emma Thomas-Jones; Ryan Preece; Sarah Milosevic; Lucy Brookes-Howell; Philip Pallmann; Debbie Harris; Ian Massey; Jo Burton; Philippa Stewart; Katie Samuel; Sian Jones; David Cox; Adrian Edwards; Chris Twine; David C Bosanquet
Journal:  BJS Open       Date:  2021-11-09

9.  Surgeons' Emotional Experience of Their Everyday Practice - A Qualitative Study.

Authors:  Massimiliano Orri; Anne Revah-Lévy; Olivier Farges
Journal:  PLoS One       Date:  2015-11-24       Impact factor: 3.240

10.  Models predicting the risks of six life-threatening morbidities and bile leakage in 14,970 hepatectomy patients registered in the National Clinical Database of Japan.

Authors:  Hideki Yokoo; Hiroaki Miyata; Hiroyuki Konno; Akinobu Taketomi; Tatsuhiko Kakisaka; Norimichi Hirahara; Go Wakabayashi; Mitsukazu Gotoh; Masaki Mori
Journal:  Medicine (Baltimore)       Date:  2016-12       Impact factor: 1.817

  10 in total

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