Evidence map›Paper›PMID 38810512›Full record

Observational studyThe journal of nutrition, health & aging2024

Association between GLIM-diagnosed malnutrition and quality of life in older patients with cancer.

Zhang Xi, Huang Jia-Xin, Wu Xi, Tang Meng, Liu Jin-Feng, Wei Wei, Dong Tao, Song Chun-Hua, Cui Jiu-Wei, Shi Han-Ping and 1 more

Abstract readObservational StudyMulticenter Study
In one paragraph

Observational study in The journal of nutrition, health & aging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Zhang XiDepartment of Comprehensive Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China; Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China.
Huang Jia-XinDepartment of Comprehensive Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Wu XiDepartment of Comprehensive Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Tang MengDepartment of Comprehensive Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China; Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China.
Liu Jin-FengDepartment of Clinical Nutrition, Cancer Hospital of HuanXing ChaoYang District Beijing, Beijing, China.
Wei WeiDepartment of Comprehensive Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Dong TaoTaiyuan Second People's Hospital, Department of Intensive Care and Palliative Care, Tai Yuan, China.
Song Chun-HuaDepartment of Epidemiology, College of Public Health, Zhengzhou University, Zheng Zhou, China.
Cui Jiu-WeiCancer Center of the First Hospital of Jilin University, Changchun, 130021, China.
Shi Han-PingKey Laboratory of Cancer FSMP for State Market Regulation, Beijing, China; Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China; Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China. Electronic address: shihp@ccmu.edu.cn.
Cong Ming-HuaDepartment of Comprehensive Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. Electronic address: congmh@cicams.ac.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOlder patients with cancer have a higher risk for malnutrition and impaired quality of life (QoL). The present study aimed to investigate the relationship between malnutrition diagnosed according to the Global Leadership Initiative Malnutrition (GLIM) criteria and QoL across various tumor types, and to evaluate the combined prognostic value of malnutrition and QoL in predicting survival among older patients with cancer.

methodsThis multicenter, observational cohort study included 5310 older patients with cancer and 2184 with malnutrition (moderate stage, n = 1023; severe stage, n = 1161). An empirical cumulative distribution curve was performed to illustrate the correlation between malnutrition and QoL. The primary objective was to investigate the association between malnutrition and QoL using logistic regression analysis. Survival analyses were performed to assess the combined prognostic value of malnutrition and QoL.

resultsThe median age of the patients (66.9% male, 33.1% female) was 70 years (interquartile range [IQR] 67-74 years) years. The median QoL score was highest in patients without malnutrition (91.88 [IQR 84.44-97.44]), followed by those with moderate (86.15 [IQR 76.18-93.85) and severe (82.31 [IQR 69.87-91.11]) malnutrition. Logistics regression revealed that the risk for developing impaired QoL increased 1.98 (95% confidence interval [CI] 1.64-2.38; P < 0.001) and 2.33 (95% CI 1.93-2.81; P < 0.001) times in patients with moderate and severe malnutrition, respectively. Kaplan-Meier curves showed that QoL in combination with GLIM criteria demonstrated a significant discriminative performance for survival and served as an independent prognostic factor among older patients with cancer, especially for lung and gastric cancers.

conclusionsMalnutrition diagnosed according to the GLIM criteria was a predictor of impaired QoL. Additionally, the combination of QoL and malnutrition demonstrated utility for predicting survival outcomes in older patients with cancer.

Indexed as

MalnutritionNeoplasmsQuality of LifeAgedCohort StudiesFemaleGeriatric AssessmentHumansMaleNutritional StatusNutrition AssessmentPrognosisSurvival AnalysisCancerGLIMMalnutritionOlderQuality of life

Identifiers

PMID38810512
PMCPMC12275700

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.