Sarcopenia as Prognostic Factor in Lung Cancer Patients: A Systematic Review and Meta-analysis.


Journal

Anticancer research
ISSN: 1791-7530
Titre abrégé: Anticancer Res
Pays: Greece
ID NLM: 8102988

Informations de publication

Date de publication:
Sep 2019
Historique:
received: 26 06 2019
revised: 11 07 2019
accepted: 12 07 2019
entrez: 15 9 2019
pubmed: 15 9 2019
medline: 27 9 2019
Statut: ppublish

Résumé

Sarcopenia describes the loss of skeletal muscle mass. While this condition is associated with a high mortality in cancer patients, its influence on survival is still underestimated. A systematic review for articles was performed using the PubMed database, Cochrane Library, Biomed Central, Science Direct and by manual search. We used data of overall survival in sarcopenic patients for assessing the death risk. We extracted hazard ratio estimates from univariate and multivariate Cox proportional hazards models for meta-analysis. A total of 15 studies were eligible for meta-analysis including a total of 2,521 lung cancer patients. Univariate meta-analysis revealed a two-fold increased death risk in sarcopenic patients; multivariate meta-analysis yielded a significant, three-fold elevated risk of death. This higher mortality is independent of tumour stage. Muscle loss is an independent risk factor for increased death risk in lung cancer patients independent of cancer stage. This argues for implementing screening for sarcopenia into cancer care.

Sections du résumé

BACKGROUND/AIM OBJECTIVE
Sarcopenia describes the loss of skeletal muscle mass. While this condition is associated with a high mortality in cancer patients, its influence on survival is still underestimated.
PATIENTS AND METHODS METHODS
A systematic review for articles was performed using the PubMed database, Cochrane Library, Biomed Central, Science Direct and by manual search. We used data of overall survival in sarcopenic patients for assessing the death risk. We extracted hazard ratio estimates from univariate and multivariate Cox proportional hazards models for meta-analysis.
RESULTS RESULTS
A total of 15 studies were eligible for meta-analysis including a total of 2,521 lung cancer patients. Univariate meta-analysis revealed a two-fold increased death risk in sarcopenic patients; multivariate meta-analysis yielded a significant, three-fold elevated risk of death. This higher mortality is independent of tumour stage.
CONCLUSION CONCLUSIONS
Muscle loss is an independent risk factor for increased death risk in lung cancer patients independent of cancer stage. This argues for implementing screening for sarcopenia into cancer care.

Identifiants

pubmed: 31519557
pii: 39/9/4603
doi: 10.21873/anticanres.13640
doi:

Types de publication

Journal Article Meta-Analysis Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

4603-4612

Informations de copyright

Copyright© 2019, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.

Auteurs

Judith Buentzel (J)

Department of Haematology and Medical Oncology, Georg-August University, Göttingen, Germany.

Judith Heinz (J)

Department of Medical Statistics, Georg-August University, Göttingen, Germany.

Annalen Bleckmann (A)

Comprehensive Cancer Center Münster, University Medical Center, University Münster, Münster, Germany.

Christoph Bauer (C)

Department of Nephrology and Hypertension, Center for Internal Medicine and Medical Clinic III, Klinikum Fulda, Fulda, Germany.

Christian Röver (C)

Department of Medical Statistics, Georg-August University, Göttingen, Germany.

Hanibal Bohnenberger (H)

Institute of Pathology, University Medical Centre, Göttingen, Germany.

Shekhar Saha (S)

Department of Thoracic and Cardiovascular Surgery University Medical Center, Georg-August University, Göttingen, Germany.

Marc Hinterthaner (M)

Department of Thoracic and Cardiovascular Surgery University Medical Center, Georg-August University, Göttingen, Germany.

Hassina Baraki (H)

Department of Thoracic and Cardiovascular Surgery University Medical Center, Georg-August University, Göttingen, Germany.

Ingo Kutschka (I)

Department of Thoracic and Cardiovascular Surgery University Medical Center, Georg-August University, Göttingen, Germany.

Alexander Emmert (A)

Department of Thoracic and Cardiovascular Surgery University Medical Center, Georg-August University, Göttingen, Germany alexander.emmert@med.uni-goettingen.de.

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Classifications MeSH