Evidence mapPaperPMID 40113950Full record

ArticleScientific reports2025

The association of nutritional and inflammatory status with cardiovascular and all-cause mortality risk among US patients with metabolic syndrome.

Xuanchun Huang, Lanshuo Hu, Jun Li, Xiaoling Xie, Shiyi Tao, Tiantian Xue, Wenjie Zhang

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Xuanchun Huang *Guang'anmen Hospital, China Academy of Traditional Chinese Medicine, Beijing, China.
Lanshuo Hu *Xiyuan Hospital, China Academy of Traditional Chinese Medicine, Beijing, China.
Jun LiGuang'anmen Hospital, China Academy of Traditional Chinese Medicine, Beijing, China. gamyylj@163.com.
Xiaoling XieZhangzhou Hospital of Traditional Chinese Medicine, Fujian University of Traditional Chinese Medicine, Zhangzhou, Fujian, China.
Shiyi TaoGuang'anmen Hospital, China Academy of Traditional Chinese Medicine, Beijing, China.
Tiantian XueGuang'anmen Hospital, China Academy of Traditional Chinese Medicine, Beijing, China. 907094600@qq.com.
Wenjie ZhangGuang'anmen Hospital, China Academy of Traditional Chinese Medicine, Beijing, China.

Funding

Beijing Municipal Science and Technology Development Funding Program of Traditional Chinese Medicine No. JJ-2020-69High Level Chinese Medical Hospital Promotion Project No. HLCMHPP2023065National Key Research and Development Program of China 2022YFC3500102National Natural Science Foundation of China No. 81973836
6 · The paper itself

Abstract

To investigate the relationship between nutritional and inflammatory status and all-cause and cardiovascular mortality in the U.S. population with cardiometabolic syndrome (CMS) and to identify the optimal nutrition-inflammation index for assessing long-term prognosis. Health data from the 1999-2010 National Health and Nutrition Examination Survey (NHANES) were used. Kaplan-Meier analysis explored associations between nutrition-inflammation indices and mortality in the CMS population. Significant indices were selected for ROC curve analysis, and the most effective index was analyzed using COX regression models. Restricted cubic splines (RCS) analyzed nonlinear associations, and a recursive algorithm determined inflection points. Subgroup and sensitivity analyses assessed the stability of the model. The study included data from 5,969 participants (2,900 males, 3,069 females), with 1,753 all-cause deaths and 607 cardiovascular deaths. Kaplan-Meier analysis indicated that good nutrition and low inflammation were linked to better long-term outcomes. The Advanced Lung Cancer Inflammation Index (ALI) was the most effective assessing index. COX regression showed a negative association between ALI and both mortality types. RCS analysis revealed a U-shaped relationship for all-cause mortality and an L-shaped curve for cardiovascular mortality, with an inflection point at 106.24. Subgroup analysis and sensitivity analysis confirmed the robustness of ALI in assessing the mortality risk in the CMS population. ALI is an ideal indicator for evaluating the relationship between nutritional and inflammatory status and both all-cause and cardiovascular mortality in the CMS population. Maintaining an appropriate ALI level can help reduce the risk of all-cause and cardiovascular mortality in CMS patients.

Indexed as

Cardiovascular DiseasesInflammationMetabolic SyndromeNutritional StatusAdultAgedCause of DeathFemaleHumansKaplan-Meier EstimateMaleMiddle AgedNutrition SurveysPrognosisProportional Hazards ModelsRisk FactorsCardiometabolic syndromeCross sectional studyInflammationMortality rateNHANES databaseNutrition

Identifiers

PMID40113950
PMCPMC11926066

What Socratic holds

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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 Socratic graph.