Evidence mapPaperPMID 40307347Full record

ArticleScientific reports2025

Association between the systemic inflammation response index and mortality in cancer survivors based on NHANES 2001-2018.

Fei-Ran Yang, Hong-Lin Li, Xi-Wen Hu, Rui Sha, Hui-Jie Li

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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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 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

5 authors.

Fei-Ran Yang *College of First Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, People's Republic of China.
Hong-Lin Li *Traditional Chinese Medicine, Shandong Provincial Hospital Affiliated With Shandong First Medical University, Jinan, Shandong, People's Republic of China.
Xi-Wen HuCollege of First Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, People's Republic of China.
Rui ShaDepartment of Oncology, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Wenhuaxi Road, Jinan, 250011, Shandong, People's Republic of China.
Hui-Jie LiDepartment of Oncology, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Wenhuaxi Road, Jinan, 250011, Shandong, People's Republic of China. 2008lihuijie@163.com.

Funding

Natural Science Foundation of Shandong Province ZR2024MH186Postdoctoral Fellowship Program of CPSF, China GZC20240958
6 · The paper itself

Abstract

Inflammatory responses play a critical regulatory role in the development and progression of cancer. As a novel inflammatory marker, the association between the systemic inflammation response index (SIRI) and mortality among cancer survivors remains unclear. This study aims to elucidate the relationship between the SIRI and all-cause mortality among cancer survivors in the United States. This study utilized continuous data from the National Health and Nutrition Examination Survey (NHANES) from 2001 to 2018, with follow-up data available through December 31, 2019. All patients were divided into four groups based on their SIRI values. Cox proportional-hazards regression models, Kaplan-Meier survival curves, and restricted cubic splines (RCS) combined with Cox proportional hazards models were applied to investigate the relationship between SIRI and cancer survival rates. Additionally, sensitivity and subgroup analyses were conducted to test the robustness of the results. A total of 3733 cancer survivors were included in this study. During a median follow-up period of 119 months, 1217 deaths occurred, resulting in an all-cause mortality rate of 32.57%. The results of the Cox proportional-hazards regression model showed that compared to the low SIRI group, the highest SIRI group had a higher risk of mortality (HR 1.52; 95% CI 1.28, 1.81). Additionally, the Kaplan-Meier curve indicated that participants with higher SIRI values had a higher all-cause mortality rate. The RCS model indicated a nonlinear positive correlation between SIRI values and all-cause mortality. The sensitivity analysis demonstrated that the study results remained consistent without significant changes after excluding participants who died within the first two years of follow-up. The subgroup analysis showed that SIRI was associated with all-cause mortality across different demographic characteristics (including gender, marital status, history of hypertension, and diabetes) as well as cancer types (lung cancer, breast cancer, colorectal cancer, skin cancer, and prostate cancer). In conclusion, our study reveals a significant association between SIRI and all-cause mortality among cancer survivors in the United States, which helps identify cancer survivors at higher risk of death and highlights its important prognostic value in oncology.

Indexed as

Cancer SurvivorsInflammationNeoplasmsAdultAgedFemaleHumansKaplan-Meier EstimateMaleMiddle AgedNutrition SurveysProportional Hazards ModelsRisk FactorsSurvival RateUnited States

Identifiers

PMID40307347
PMCPMC12043841

What Socratic holds

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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.