Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Meta-Analysis
. 2024 Aug;15(4):1226-1239.
doi: 10.1002/jcsm.13477. Epub 2024 Apr 22.

Mortality burden of pre-treatment weight loss in patients with non-small-cell lung cancer: A systematic literature review and meta-analysis

Affiliations
Meta-Analysis

Mortality burden of pre-treatment weight loss in patients with non-small-cell lung cancer: A systematic literature review and meta-analysis

Philip D Bonomi et al. J Cachexia Sarcopenia Muscle. 2024 Aug.

Abstract

Cachexia, with weight loss (WL) as a major component, is highly prevalent in patients with cancer and indicates a poor prognosis. The primary objective of this study was to conduct a meta-analysis to estimate the risk of mortality associated with cachexia (using established WL criteria prior to treatment initiation) in patients with non-small-cell lung cancer (NSCLC) in studies identified through a systematic literature review. The review was conducted according to PRISMA guidelines. Embase® and PubMed were searched to identify articles on survival outcomes in adult patients with NSCLC (any stage) and cachexia published in English between 1 January 2016 and 10 October 2021. Two independent reviewers screened titles, abstracts and full texts of identified records against predefined inclusion/exclusion criteria. Following a feasibility assessment, a meta-analysis evaluating the impact of cachexia, defined per the international consensus criteria (ICC), or of pre-treatment WL ≥ 5% without a specified time interval, on overall survival in patients with NSCLC was conducted using a random-effects model that included the identified studies as the base case. The impact of heterogeneity was evaluated through sensitivity and subgroup analyses. The standard measures of statistical heterogeneity were calculated. Of the 40 NSCLC publications identified in the review, 20 studies that used the ICC for cachexia or reported WL ≥ 5% and that performed multivariate analyses with hazard ratios (HRs) or Kaplan-Meier curves were included in the feasibility assessment. Of these, 16 studies (80%; n = 6225 patients; published 2016-2021) met the criteria for inclusion in the meta-analysis: 11 studies (69%) used the ICC and 5 studies (31%) used WL ≥ 5%. Combined criteria (ICC plus WL ≥ 5%) were associated with an 82% higher mortality risk versus no cachexia or WL < 5% (pooled HR [95% confidence interval, CI]: 1.82 [1.47, 2.25]). Although statistical heterogeneity was high (I2 = 88%), individual study HRs were directionally aligned with the pooled estimate, and there was considerable overlap in CIs across included studies. A subgroup analysis of studies using the ICC (HR [95% CI]: 2.26 [1.80, 2.83]) or WL ≥ 5% (HR [95% CI]: 1.28 [1.12, 1.46]) showed consistent findings. Assessments of methodological, clinical and statistical heterogeneity indicated that the meta-analysis was robust. Overall, this analysis found that ICC-defined cachexia or WL ≥ 5% was associated with inferior survival in patients with NSCLC. Routine assessment of both weight and weight changes in the oncology clinic may help identify patients with NSCLC at risk for worse survival, better inform clinical decision-making and assess eligibility for cachexia clinical trials.

Keywords: cachexia; meta‐analysis; muscle wasting; non‐small‐cell lung cancer; systematic literature review; weight loss.

PubMed Disclaimer

Conflict of interest statement

Philip D. Bonomi reports honoraria from Pfizer, Helsinn Healthcare and Roche Genentech. Jeffrey Crawford reports consulting/advisory roles for and honoraria from Actimed Therapeutics, AVEO, Enzychem Lifesciences, Faraday Pharmaceuticals, G1 Therapeutics, Merck, Partner Therapeutics, Pfizer, Sandoz, BIO Alta and Seagen and research funding from Helsinn Healthcare, AstraZeneca and Pfizer (paid to his institution). Richard F. Dunne reports honoraria from Helsinn Healthcare, Exelixis, Toray Industries and Merck. Eric J. Roeland reports participation in scientific advisory boards for Napo Pharmaceuticals, Care4ward, Actimed Therapeutics, Meter Health, Alerion and Takeda; consulting roles for Veloxis Therapeutics and BYOMass; and participation in data safety monitoring boards for Enzychem Lifesciences. Karen E. Smoyer is an employee of Curo, part of the Envision Pharma Group, who were paid consultants to Pfizer in relation to this work. Mohd Kashif Siddiqui is an employee of EBM Health Consultants, who were paid consultants to Envision Pharma Group in relation to this work. Thomas D. McRae and James H. Revkin were employees of Pfizer at the time of the analysis and may hold stock or stock options in Pfizer. Michelle I. Rossulek and Lisa C. Tarasenko are employees of Pfizer and may hold stock or stock options in Pfizer.

Figures

Figure 1
Figure 1
PRISMA diagram of the literature‐screening process for the NSCLC SLR and meta‐analysis. aLC types were SCLC (n = 2) or malignant pleural mesothelioma (n = 1). bOutcomes were PFS or weight gain. cWL analysed as quartiles or as a continuous variable in MVA. dWL assessment periods were during treatment rather than at baseline. HR, hazard ratio; IC, international consensus; KM, Kaplan–Meier; LC, lung cancer; MVA, multivariate analysis; NSCLC, non‐small‐cell lung cancer; PFS, progression‐free survival; PRISMA, Preferred Reporting Items for Systematic Reviews and Meta‐Analyses; SCLC, small‐cell lung cancer; SLR, systematic literature review; WL, weight loss.
Figure 2
Figure 2
Meta‐analysis of the association between cachexia or weight loss ≥ 5% and overall survival in NSCLC: Base‐case random‐effects model. Sample size reflects patients with NSCLC and OS data, which for some studies is less than the number of patients with baseline data. CI, confidence interval; H2, homogeneity statistic; HR, hazard ratio; I2, heterogeneity statistic; NSCLC, non‐small‐cell lung cancer; OS, overall survival; Q, Cochrane Q (chi‐square statistic); T2, tau‐square; z, normality distribution; θ, overall effect estimate.
Figure 3
Figure 3
Galbraith plot analysis for the base‐case meta‐analysis of the association between cachexia or weight loss ≥ 5% and overall survival in non‐small‐cell lung cancer. θ and σ represent the study‐specific effect size and its standard error. Navy circles represent study‐specific log HR divided by sigma (θ/σ) against study precisions 1/σ. CI, confidence interval; HR, hazard ratio; REML, restricted maximum likelihood; se, standard error; θ, overall effect estimate.
Figure 4
Figure 4
Funnel plot analysis for the base‐case meta‐analysis of the association between cachexia or weight loss ≥ 5% and overall survival in non‐small‐cell lung cancer. CI, confidence interval; HR, hazard ratio; θ, overall effect estimate.

References

    1. Fearon K, Strasser F, Anker SD, Bosaeus I, Bruera E, Fainsinger RL, et al. Definition and classification of cancer cachexia: an international consensus. Lancet Oncol 2011;12:489–495. - PubMed
    1. Bruggeman AR, Kamal AH, LeBlanc TW, Ma JD, Baracos VE, Roeland EJ. Cancer cachexia: beyond weight loss. J Oncol Pract 2016;12:1163–1171. - PubMed
    1. Roeland EJ, Bohlke K, Baracos VE, Bruera E, Del Fabbro E, Dixon S, et al. Management of cancer cachexia: ASCO guideline. J Clin Oncol 2020;38:2438–2453. - PubMed
    1. Arends J, Strasser F, Gonella S, Solheim TS, Madeddu C, Ravasco P, et al. Cancer cachexia in adult patients: ESMO Clinical Practice Guidelines. ESMO Open 2021;6:100092. - PMC - PubMed
    1. von Haehling S, Anker SD. Cachexia as a major underestimated and unmet medical need: facts and numbers. J Cachexia Sarcopenia Muscle 2010;1:1–5. - PMC - PubMed

Grants and funding