Literature DB >> 21444178

Clinical prediction of survival by surgeons for patients with incurable abdominal malignancy.

T Hølmebakk1, A Solbakken, T Mala, A Nesbakken.   

Abstract

BACKGROUND AND AIM: Accurate prognosis facilitates decision-making and counselling in incurable cancer. However, predictions of survival are frequently inaccurate and survival is consistently overestimated. The prognostic skills of surgeons are sparsely documented, and the present study was undertaken to assess their prognostic accuracy for patients with advanced abdominal malignancy. PATIENTS AND METHODS: Clinical predictions of survival were made by three consultant surgeons independently in consecutive patients with incurable abdominal cancer. Survival was predicted in intervals ranging from <1 week to 18-24 months. Prognoses were considered accurate when actual survival fell within the expected range. Performance status was classified according to the Eastern Cooperative Oncology Group (ECOG).
RESULTS: 243 assessments were made in 178 patients. Prognoses were accurate in 27%, over-optimistic in 42% and over-pessimistic in 31%. Accuracy was inversely related to length of actual survival and did not differ between surgeons (P = 0.466). The proportion of over-optimistic prognoses differed significantly between surgeons (P < 0.001). Prognostic accuracy was 44% in gastric cancer patients, 29% in pancreatic cancer patients and 22% in colorectal cancer patients (P = 0.052). ECOG performance status correlated well with survival.
CONCLUSIONS: Surgeons' accuracy in determining prognosis is poor. There are considerable individual differences between surgeons, and accuracy is reduced in cases with prolonged life expectancy.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21444178     DOI: 10.1016/j.ejso.2011.02.009

Source DB:  PubMed          Journal:  Eur J Surg Oncol        ISSN: 0748-7983            Impact factor:   4.424


  7 in total

1.  Stent treatment of malignant gastric outlet obstruction: the effect on rate of gastric emptying, symptoms, and survival.

Authors:  Lene Larssen; Truls Hauge; Asle W Medhus
Journal:  Surg Endosc       Date:  2012-04-27       Impact factor: 4.584

2.  How palliative care professionals deal with predicting life expectancy at the end of life: predictors and accuracy.

Authors:  Sara Mandelli; Emma Riva; Mauro Tettamanti; Ugo Lucca; Davide Lombardi; Gianmaria Miolo; Simon Spazzapan; Rita Marson
Journal:  Support Care Cancer       Date:  2020-08-31       Impact factor: 3.603

Review 3.  Symptomatic spinal metastasis: A systematic literature review of the preoperative prognostic factors for survival, neurological, functional and quality of life in surgically treated patients and methodological recommendations for prognostic studies.

Authors:  Anick Nater; Allan R Martin; Arjun Sahgal; David Choi; Michael G Fehlings
Journal:  PLoS One       Date:  2017-02-22       Impact factor: 3.240

4.  Predicting life expectancy with a long short-term memory recurrent neural network using electronic medical records.

Authors:  Merijn Beeksma; Suzan Verberne; Antal van den Bosch; Enny Das; Iris Hendrickx; Stef Groenewoud
Journal:  BMC Med Inform Decis Mak       Date:  2019-02-28       Impact factor: 2.796

5.  Comprehensive surgical treatment strategy for spinal metastases.

Authors:  Arthur Wagner; Elena Haag; Ann-Kathrin Joerger; Philipp Jost; Stephanie E Combs; Maria Wostrack; Jens Gempt; Bernhard Meyer
Journal:  Sci Rep       Date:  2021-04-12       Impact factor: 4.379

6.  Palliative radiation therapy in patients with metastasized pancreatic cancer - description of a rare patient group.

Authors:  Daniel Habermehl; Ingo C Brecht; Jürgen Debus; Stephanie E Combs
Journal:  Eur J Med Res       Date:  2014-05-13       Impact factor: 2.175

Review 7.  A Systematic Review of Predictions of Survival in Palliative Care: How Accurate Are Clinicians and Who Are the Experts?

Authors:  Nicola White; Fiona Reid; Adam Harris; Priscilla Harries; Patrick Stone
Journal:  PLoS One       Date:  2016-08-25       Impact factor: 3.240

  7 in total

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