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Can physician gestalt predict survival in patients with resectable pancreatic adenocarcinoma?

Overview of attention for article published in Abdominal Radiology, November 2017
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Title
Can physician gestalt predict survival in patients with resectable pancreatic adenocarcinoma?
Published in
Abdominal Radiology, November 2017
DOI 10.1007/s00261-017-1407-x
Pubmed ID
Authors

Linda M. Pak, Mithat Gonen, Kenneth Seier, Vinod P. Balachandran, Michael I. D’Angelica, William R. Jarnagin, T. Peter Kingham, Peter J. Allen, Richard K. G. Do, Amber L. Simpson

Abstract

Clinician gestalt may hold unexplored information that can be capitalized upon to improve existing nomograms. The study objective was to evaluate physician ability to predict 2-year overall survival (OS) in resected pancreatic ductal adenocarcinoma (PDAC) patients based on pre-operative clinical characteristics and routine CT imaging. Ten surgeons and two radiologists were provided with a clinical vignette (including age, gender, presenting symptoms, and pre-operative CA19-9 when available) and pre-operative CT scan for 20 resected PDAC patients and asked to predict the probability of each patient reaching 2-year OS. Receiver operating characteristic curves were used to assess agreement and to compare performance with an established institutional nomogram. Ten surgeons and 2 radiologists participated in this study. The area under the curve (AUC) for all physicians was 0.707 (95% CI 0.642-0.772). Attending physicians with > 5 years experience performed better than physicians with < 5 years of clinical experience since completion of post-graduate training (AUC = 0.710, 95% CI [0.536-0.884] compared to AUC = 0.662, 95% CI [0.398-0.927]). Radiologists performed better than surgeons (AUC = 0.875, 95% CI [0.765-0.985] compared to AUC = 0.656, 95% CI [0.580-0.732]). All but one physician outperformed the clinical nomogram (AUC = 0.604). This pilot study demonstrated significant promise in the quantification of physician gestalt. While PDAC remains a difficult disease to prognosticate, physicians, particularly those with more clinical experience and radiologic expertise, are able to perform with higher accuracy than existing nomograms in predicting 2-year survival.

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Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer > Senior Lecturer 2 10%
Professor > Associate Professor 2 10%
Other 1 5%
Student > Bachelor 1 5%
Student > Master 1 5%
Other 3 15%
Unknown 10 50%
Readers by discipline Count As %
Medicine and Dentistry 6 30%
Computer Science 1 5%
Environmental Science 1 5%
Unknown 12 60%