Evidence map›Paper›PMID 40646066›Full record

ArticleScientific reports2025

Inflammatory burden index predicts long term mortality in a nationally representative population from NHANES.

Wenze Li, Defeng Zhao, Wenya Li

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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

3 authors.

Wenze Li *Department of Hematology, The First Affiliated Hospital of China Medical University, No.155 North Nanjing Road, Heping District, Shenyang, China.
Defeng Zhao *Department of Thoracic Surgery, The First Affiliated Hospital of China Medical University, No.155 North Nanjing Road, Heping District, Shenyang, China.
Wenya LiDepartment of Thoracic Surgery, The First Affiliated Hospital of China Medical University, No.155 North Nanjing Road, Heping District, Shenyang, China. wenyali_cmu1h@outlook.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigated the relationship between the Inflammatory Burden Index (IBI) and risks of all-cause and cancer-specific mortality, focusing on its potential to enhance risk stratification. The research included a cohort of 14,835 participants from the American National Health and Nutrition Examination Survey. IBI was calculated using the formula CRP × (neutrophil / lymphocyte). Cox regression analysis was applied to assess the associations. During 223,719.71 person-years of follow-up, 3483 deaths (23.48%) occurred, including 778 (5.24%) from cancer. Mortality rates were 15.57 (all causes) and 3.48 (cancer) per 1,000 person-years. Kaplan-Meier analysis showed the highest IBI quartile had the lowest survival rates for all-cause and cancer-related mortality (Log-Rank p < 0.001). Adjusted models revealed a 23.4% higher risk of all-cause mortality and a 14.1% higher cancer-specific mortality per standard deviation increase in IBI. Smooth curve fitting confirmed a proportional relationship between IBI and mortality risk. ROC curve and reclassification analyses supported IBI's role in improving mortality risk prediction. The findings of this study indicate noteworthy associations between IBI and both all-cause and cancer-specific mortality. Moreover, the results highlight the potential of IBI in enhancing risk stratification for incident all-cause and cancer-specific mortality within the general population.

Indexed as

Health Status IndicatorsInflammationAdultC-Reactive ProteinCross-Sectional StudiesFemaleHumansKaplan-Meier EstimateLymphocyte CountMaleMiddle AgedNeoplasmsNutrition SurveysProportional Hazards ModelsUnited StatesC-Reactive ProteinCancerCohort studyEpidemiologyInflammationMortality

Identifiers

PMID40646066
PMCPMC12254322

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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.