Literature DB >> 32377881

Outcome prediction in brain tumor surgery: a literature review on the influence of nonmedical factors.

Silvia Schiavolin1, Alberto Raggi2, Chiara Scaratti2, Claudia Toppo2, Fabiola Silvaggi2, Davide Sattin2, Morgan Broggi3, Paolo Ferroli3, Matilde Leonardi2.   

Abstract

The purpose of the present study was to review the existing data on preoperative nonmedical factors that are predictive of outcome in brain tumor surgery. Our hypothesis was that also the individual characteristics (e.g., emotional state, cognitive status, social relationships) could influence the postoperative course in addition to clinical factors usually investigated in brain tumor surgery. PubMed, Embase, and Scopus were searched from 2008 to 2018 using terms relating to brain tumors, craniotomy, and predictors. All types of outcome were considered: clinical, cognitive, and psychological. Out of 6.288 records identified, 16 articles were selected for analysis and a qualitative synthesis of the prognostic factors was performed. The following nonmedical factors were found to be predictive of surgical outcomes: socio-demographic (age, marital status, type of insurance, gender, socio-economic status, type of hospital), cognitive (preoperative language and cognitive deficits, performance at TMT-B test), and psychological (preoperative depressive symptoms, personality traits, autonomy for daily activities, altered mental status). This review showed that nonmedical predictors of outcome exist in brain tumor surgery. Consequently, individual characteristics (e.g., emotional state, cognitive status, social relationships) can influence the postoperative course in addition to clinical factors.

Entities:  

Keywords:  Brain tumor; Craniotomy; Outcome; Prediction

Year:  2020        PMID: 32377881     DOI: 10.1007/s10143-020-01289-0

Source DB:  PubMed          Journal:  Neurosurg Rev        ISSN: 0344-5607            Impact factor:   3.042


  2 in total

1.  Patient-Reported Outcomes (PROs) and Patient-Reported Outcome Measures (PROMs).

Authors:  Theresa Weldring; Sheree M S Smith
Journal:  Health Serv Insights       Date:  2013-08-04

2.  Early cognitive function tests predict early progression in glioblastoma.

Authors:  Soon-Tae Lee; Chul-Kee Park; Jin Wook Kim; Min-Jung Park; Hyon Lee; Jung-Ah Lim; Seung Hong Choi; Tae Min Kim; Se-Hoon Lee; Sung-Hye Park; Il Han Kim; Kyoung-Min Lee
Journal:  Neurooncol Pract       Date:  2015-05-12
  2 in total
  1 in total

1.  Preoperative nonmedical predictors of functional impairment after brain tumor surgery.

Authors:  Silvia Schiavolin; Arianna Mariniello; Morgan Broggi; Francesco DiMeco; Paolo Ferroli; Matilde Leonardi
Journal:  Support Care Cancer       Date:  2022-01-09       Impact factor: 3.359

  1 in total

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