Evidence map›Paper›PMID 38755603›Full record

ArticleBMC geriatrics2024

Associations of CBC-Derived inflammatory indicators with sarcopenia and mortality in adults: evidence from Nhanes 1999 ∼ 2006.

Botang Guo, Xinqing Liu, Qi Si, Dongdong Zhang, Minyao Li, Xi Li, Yang Zhao, Fulan Hu, Ming Zhang, Yu Liu and 1 more

Abstract read
In one paragraph

Article in BMC geriatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing 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

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3 · Its place in the literature

Who cites it

53 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.

Botang Guo *Department of General Practice, The Affiliated Luohu Hospital of Shenzhen University Medical School, YouYi Road 47, Shenzhen, 518000, Guangdong, People's Republic of China.
Xinqing Liu *College of Medical Administration, Harbin Medical University, Heilongjiang Province, Harbin, 150078, China.
Qi Si *College of Medical Administration, Harbin Medical University, Heilongjiang Province, Harbin, 150078, China.
Dongdong ZhangDepartment of General Practice, The Affiliated Luohu Hospital of Shenzhen University Medical School, YouYi Road 47, Shenzhen, 518000, Guangdong, People's Republic of China.
Minyao LiDepartment of General Practice, The Affiliated Luohu Hospital of Shenzhen University Medical School, YouYi Road 47, Shenzhen, 518000, Guangdong, People's Republic of China.
Xi LiDepartment of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Henan Province, Zhengzhou, 450001, China.
Yang ZhaoDepartment of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Henan Province, Zhengzhou, 450001, China.
Fulan HuDepartment of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Medical School, Shenzhen, 518073, Guangdong Province, China.
Ming ZhangDepartment of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Medical School, Shenzhen, 518073, Guangdong Province, China.
Yu LiuDepartment of General Practice, The Affiliated Luohu Hospital of Shenzhen University Medical School, YouYi Road 47, Shenzhen, 518000, Guangdong, People's Republic of China. yuliu890130@163.com.
Dongsheng HuDepartment of General Practice, The Affiliated Luohu Hospital of Shenzhen University Medical School, YouYi Road 47, Shenzhen, 518000, Guangdong, People's Republic of China. dongshenghu563@126.com.

Funding

National Natural Science Foundation of China 81903397
6 · The paper itself

Abstract

backgroundIt has been proposed that inflammation plays a role in the development of sarcopenia. This study aimed to investigate the links of complete blood cell count (CBC) parameters and CBC-derived inflammatory indicators with sarcopenia and mortality.

methodsData pertaining to sarcopenia were extracted from the 1999-2006 National Health and Nutrition Examination Survey (NHANES), and mortality events were ascertained through the National Death Index up to December 31, 2019. The CBC-derived inflammatory indicators assessed in this study included the neutrophil-to-lymphocyte ratio (NLR), derived neutrophil-to-lymphocyte ratio (dNLR), monocyte-to-lymphocyte ratio (MLR), neutrophil-monocyte to lymphocyte ratio (NMLR), systemic inflammatory response index (SIRI), and systemic immune-inflammation index (SII). The prognostic significance of these CBC-derived inflammatory indicators was evaluated using the random survival forests (RSF) analysis.

resultsThe study encompassed a cohort of 12,689 individuals, among whom 1,725 were diagnosed with sarcopenia. Among individuals with sarcopenia, 782 experienced all-cause mortality, and 195 succumbed to cardiovascular causes. Following adjustment for confounding variables, it was observed that elevated levels of NLR, dNLR, NMLR, SIRI, and SII were associated with an increased prevalence of sarcopenia. Among participants with sarcopenia, those in the highest quartile of NLR (HR = 1.336 [1.095-1.631]), dNLR (HR = 1.274 [1.046-1.550]), MLR (HR = 1.619 [1.290-2.032]), NMLR (HR = 1.390 [1.132-1.707]), and SIRI (HR = 1.501 [1.210-1.862]) exhibited an elevated risk of all-cause mortality compared to those in the lowest quartile of these inflammation-derived indicators. These associations were similarly observed in cardiovascular mortality (HR = 1.874 [1.169-3.003] for MLR, HR = 1.838 [1.175-2.878] for SIRI). The RSF analysis indicated that MLR exhibited the highest predictive power for both all-cause and cardiovascular mortality among individuals with sarcopenia.

conclusionsOur findings underscore the association between CBC-derived inflammatory indicators and mortality in adults with sarcopenia. Of note, MLR emerged as the most robust predictor of all-cause and cardiovascular mortality in this population.

Indexed as

InflammationNutrition SurveysSarcopeniaAdultAgedAged, 80 and overBlood Cell CountFemaleHumansMaleMiddle AgedNeutrophilsPrognosisUnited StatesCBC-derived inflammatory indicatorsMortalityNHANESRandom survival forestsSarcopenia

Identifiers

PMID38755603
PMCPMC11100216

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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.