Literature DB >> 29030150

Sociodemographic, socioeconomic, and clinical determinants of survival in patients with cancer: A systematic review of the literature focused on the elderly.

Angéline Galvin1, Fleur Delva2, Catherine Helmer3, Muriel Rainfray4, Carine Bellera5, Virginie Rondeau6, Pierre Soubeyran7, Gaëlle Coureau2, Simone Mathoulin-Pélissier5.   

Abstract

Studies on cancer survival have revealed disparities not only between the elderly and their younger counterparts, but also among the elderly themselves. The aim of this work was to identify sociodemographic, socioeconomic, clinical, and care-related determinants of survival or mortality in older patients with cancer by a systematic synthesis of the literature. Understanding these factors is of great value for guiding health policies and programs aimed at reducing cancer survival disparities. We conducted a search of MEDLINE and SCOPUS databases under PRISMA guidelines. Results were limited to articles published in English and French from 2005 to 2015, and focused on elderly patients with cancer. The article selection was performed in a stepwise fashion: title, abstract, and full-text selection. Studied determinants and results of each article were synthesized. Forty-five articles were eligible and included in the study. We observed different ways of measuring socioeconomic status, comorbidities, and treatment among studies. Cancer-specific and overall survival were the main studied outcomes. Advanced age, low income, low socioeconomic status, presence of comorbidities, advanced stage, and poor tumor grade were found to be associated with lower survival or higher mortality. On the other hand, female gender and being married were predictive of increased survival or lower mortality. The next logical step is to carry out studies on elderly patients from different countries and to incorporate pertinent factors in a unique model. Moreover, specific geriatric health impairments should be taken into account in further research because of their association with survival.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Cancer; Disparities; Elderly; Socioeconomic factors; Survival; Systematic review

Mesh:

Year:  2017        PMID: 29030150     DOI: 10.1016/j.jgo.2017.07.007

Source DB:  PubMed          Journal:  J Geriatr Oncol        ISSN: 1879-4068            Impact factor:   3.599


  11 in total

Review 1.  Depression and glioblastoma, complicated concomitant diseases: a systemic review of published literature.

Authors:  Luke Mugge; Tarek R Mansour; Megan Crippen; Yasaman Alam; Jason Schroeder
Journal:  Neurosurg Rev       Date:  2018-08-09       Impact factor: 3.042

Review 2.  The EORTC QLQ-C30 Summary Score as Prognostic Factor for Survival of Patients with Cancer in the "Real-World": Results from the Population-Based PROFILES Registry.

Authors:  Olga Husson; Belle H de Rooij; Jacobien Kieffer; Simone Oerlemans; Floortje Mols; Neil K Aaronson; Winette T A van der Graaf; Lonneke V van de Poll-Franse
Journal:  Oncologist       Date:  2019-10-31

3.  Research priorities to address polypharmacy in older adults with cancer.

Authors:  Ginah Nightingale; Mostafa R Mohamed; Holly M Holmes; Manvi Sharma; Erika Ramsdale; Grace Lu-Yao; Andrew Chapman
Journal:  J Geriatr Oncol       Date:  2021-02-13       Impact factor: 3.929

4.  Determinants of neoadjuvant chemotherapy use in muscle-invasive bladder cancer.

Authors:  Filipe Lf Carvalho; Alexander Zeymo; Jillian Egan; Colleen H Kelly; Chaoyi Zheng; John H Lynch; Jonathan Hwang; Lambros Stamatakis; Ross E Krasnow; Keith J Kowalczyk
Journal:  Investig Clin Urol       Date:  2020-05-26

5.  Epidemiological Profile of Patients of Aged 65 Years and Over in a University Private Hospital.

Authors:  Emilio Conde-Flores; Rita Dorantes-Heredia; Daniel Motola-Kuba; Hiram Josué Grimaldo-Roque; Julio Eduardo Martínez-Sámano; Jose Manuel Ruiz-Morales
Journal:  Case Rep Oncol       Date:  2019-01-24

6.  Socioeconomic status and survival outcomes in elderly cancer patients: A national health insurance service-elderly sample cohort study.

Authors:  Bum-Sup Jang; Ji Hyun Chang
Journal:  Cancer Med       Date:  2019-05-08       Impact factor: 4.452

7.  Mortality from cervical cancer in Brazil: an ecological epidemiologic study of a 22-year analysis.

Authors:  Diego Bessa Dantas; Thalita da Luz Costa; Amanda Suzane Alves da Silva; Fabiana de Campos Gomes; João Simão de Melo-Neto
Journal:  Ecancermedicalscience       Date:  2020-06-25

Review 8.  The EORTC QLQ-C30 Summary Score as Prognostic Factor for Survival of Patients with Cancer in the "Real-World": Results from the Population-Based PROFILES Registry.

Authors:  Olga Husson; Belle H de Rooij; Jacobien Kieffer; Simone Oerlemans; Floortje Mols; Neil K Aaronson; Winette T A van der Graaf; Lonneke V van de Poll-Franse
Journal:  Oncologist       Date:  2019-10-31

9.  Mortality prediction in women with corpus uteri cancer in Brazil: a 21-year analysis.

Authors:  Diego Bessa Dantas; Lucio Flávio Garcia Rodrigues; Fabiana de Campos Gomes; João Simão de Melo-Neto
Journal:  Ecancermedicalscience       Date:  2020-05-04

Review 10.  Patterns of age disparities in colon and lung cancer survival: a systematic narrative literature review.

Authors:  Sophie Pilleron; Helen Gower; Maryska Janssen-Heijnen; Virginia Claire Signal; Jason K Gurney; Eva Ja Morris; Ruth Cunningham; Diana Sarfati
Journal:  BMJ Open       Date:  2021-03-10       Impact factor: 2.692

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