Clinical prediction model and tool for assessing risk of persistent pain after breast cancer surgery

Journal of Clinical Oncology

Volumn 35, Issue 15, 2017, Pages 1660-1667

  Meretoja, Tuomo J ^a,b   Andersen, Kenneth Geving ^c   Bruce, Julie ^d   Haasio, Lassi ^a,b   Sipilä, Reetta ^a,b   Scott, Neil W ^e   Ripatti, Samuli ^b   Kehlet, Henrik ^c   Kalso, Eija ^a,b  

^a HELSINKI UNIVERSITY CENTRAL HOSPITAL   (Finland)

^b UNIVERSITY OF HELSINKI   (Finland)

^c UNIVERSITY OF COPENHAGEN   (Denmark)

^d UNIVERSITY OF WARWICK   (United Kingdom)

^e UNIVERSITY OF ABERDEEN   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; AXILLARY LYMPH NODE; BODY MASS; BREAST CANCER; CANCER SURGERY; COHORT ANALYSIS; DENMARK; FEMALE; FINLAND; HIGH RISK PATIENT; HUMAN; LYMPH NODE DISSECTION; MAJOR CLINICAL STUDY; MIDDLE AGED; PAIN; PATIENT IDENTIFICATION; PERSISTENT PAIN; POSTOPERATIVE PAIN; POSTOPERATIVE PERIOD; PREDICTION; PRIORITY JOURNAL; PROSPECTIVE STUDY; RISK ASSESSMENT; SCOTLAND; SENSITIVITY AND SPECIFICITY; BREAST NEOPLASMS; CANCER PAIN; PAIN, POSTOPERATIVE; PATHOLOGY; PREDICTIVE VALUE; RECEIVER OPERATING CHARACTERISTIC; STATISTICAL MODEL;

BREAST NEOPLASMS; CANCER PAIN; COHORT STUDIES; FEMALE; HUMANS; LOGISTIC MODELS; MIDDLE AGED; MODELS, STATISTICAL; PAIN, POSTOPERATIVE; PREDICTIVE VALUE OF TESTS; RISK ASSESSMENT; ROC CURVE;

EID: 85020243508     PISSN: 0732183X     EISSN: 15277755     Source Type: Journal    
DOI: 10.1200/JCO.2016.70.3413     Document Type: Article

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