Evidence map›Paper›PMID 40999455›Full record

ArticleNutrition & metabolism2025

Prognostic nutritional index, sarcopenia, and risk of mortality: a national population-based study.

Qian Wu, Wenquan Ding, Dongqing You, YunPeng Ji, Shenghao Wang, Dinghua Jiang, Lixin Huang, Wu Xu, Lisong Li, Jiangnan Xu and 1 more

Abstract read
In one paragraph

Article in Nutrition & metabolism, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Observational
  4. Observational
  5. Article
  6. Article
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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.

Qian Wu *Department of Orthopedic Surgery, The First Affiliated Hospital of Soochow University, Jiangsu, China.
Wenquan Ding *Department of Orthopedic Surgery, The First Affiliated Hospital of Soochow University, Jiangsu, China.
Dongqing You *Department of Orthopedic Surgery, Xiangcheng District Caohu People's Hospital, Jiangsu, China.
YunPeng JiSports Medicine Department, Shenyang Orthopedic Hospital, Shenyang, China.
Shenghao WangDepartment of Orthopedic Surgery, The First Affiliated Hospital of Soochow University, Jiangsu, China.
Dinghua JiangDepartment of Orthopedic Surgery, The First Affiliated Hospital of Soochow University, Jiangsu, China.
Lixin HuangDepartment of Orthopedic Surgery, The First Affiliated Hospital of Soochow University, Jiangsu, China.
Wu XuDepartment of Orthopedic Surgery, The First Affiliated Hospital of Soochow University, Jiangsu, China.
Lisong LiDepartment of Orthopedic Surgery, The First Affiliated Hospital of Soochow University, Jiangsu, China. lilisong1989@suda.edu.cn.
Jiangnan XuDepartment of Urology, Yancheng First Hospital, Affiliated Hospital of Nanjing University Medical School, The First People's Hospital of Yancheng, Jiangsu, China. ycjiannanxu@163.com.
Yajie ZhangDepartment of Obstetrics and Gynecology, The Third Affiliated Hospital of Zhengzhou University, Henan, China. zyjym1022@163.com.

Funding

Jiangsu Provincial Traditional Chinese Medicine Science and Technology Development Project ZD202232
6 · The paper itself

Abstract

backgroundThe role of nutritional status in predicting prognosis in patients with sarcopenia has not been fully elucidated. This investigation sought to evaluate the link between prognostic nutritional index (PNI) and sarcopenia, as well as its influence on overall and cardiovascular death rates in adults diagnosed with sarcopenia.

methodsThis retrospective observational study utilized data from individuals aged 18 years and older extracted from the National Health and Nutrition Examination Survey (NHANES) during 1999-2004 and 2011-2018. The PNI calculation incorporated initial serum albumin measurements and complete lymphocyte numbers. To investigate the link between PNI and sarcopenia, researchers employed multiple analytical approaches, including multivariate logistic regression, stratified group evaluation, restricted cubic spline, and threshold and saturation effect analysis. The investigation utilized Cox regression modeling and Kaplan-Meier survival analysis to examine the link between PNI and both overall and cardiovascular-related mortality among subjects with sarcopenia.

resultsAmong the 24,661 patients examined, sarcopenia was detected in 2760 individuals (11.19%). Throughout a median monitoring duration of 132.01 months, all-cause mortality claimed 959 (34.75%) subjects with sarcopenia, while cardiovascular-related fatalities accounted for 321 (33.47%) cases. Subjects in the uppermost PNI quartile (Q4) exhibited markedly decreased likelihood of sarcopenia (odds ratio [OR] 0.43, 95% confidence interval [CI] 0.37-0.49) and lower risks of both all-cause and cardiovascular mortality (hazard ratio [HR] 0.64, 95% CI 0.53-0.78; and 0.60, 95% CI 0.43-0.84, respectively) versus those in the lowermost quartile (Q1). These findings were consistent across subgroup analyses, restricted cubic spline, and threshold and saturation effect analysis.

conclusionsThe PNI is an independent predictor of sarcopenia, all-cause mortality, and cardiovascular mortality in U.S. adults. It can be a valuable tool for identifying individuals at elevated risk of unfavorable health outcomes.

Indexed as

Independent predictorMortalityPrognostic nutritional indexSarcopenia

Identifiers

PMID40999455
PMCPMC12465300

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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.