Evidence map›Paper›PMID 41473193›Full record

ArticleFrontiers in nutrition2025

Tumour necrosis factor-

Ruichun Liao, Jing Huang, Junfei Weng, Song Lu, Jin Chen, Yingbing Zuo, Xiaoting Jiang, Xiaoping Peng

Abstract read
In one paragraph

Article in Frontiers in nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Ruichun Liao *Department of Cardiology, The First Affiliated Hospital of Nanchang University, Nanchang, JiangXi, China.
Jing Huang *Department of Medical Genetics, The First Affiliated Hospital of Nanchang University, Nanchang, JiangXi, China.
Junfei Weng *Department of Cardiology, The First Affiliated Hospital of Nanchang University, Nanchang, JiangXi, China.
Song LuDepartment of Cardiology, The First Affiliated Hospital of Nanchang University, Nanchang, JiangXi, China.
Jin ChenDepartment of Cardiology, The First Affiliated Hospital of Nanchang University, Nanchang, JiangXi, China.
Yingbing ZuoDepartment of Cardiology, The First Affiliated Hospital of Nanchang University, Nanchang, JiangXi, China.
Xiaoting JiangDepartment of Cardiology, The First Affiliated Hospital of Nanchang University, Nanchang, JiangXi, China.
Xiaoping PengDepartment of Cardiology, The First Affiliated Hospital of Nanchang University, Nanchang, JiangXi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Heart-failure (HF) survivors experience a disproportionate burden of incident malignancy, yet the biological bridge linking the two syndromes remains elusive. Tumour necrosis factor- Methods: In a retrospective hospital cohort, 415 clinically-stable adults ≥ 60 years with chronic HF were followed for a median of 5.2 years. Baseline TNF- Results: Sixty-two endpoint events (re-admission or follow-up visit at our hospital during which a tumour was detected) occurred (14.9%; 2,122 person-years). Cancer incidence rose step-wise across NIIS tertiles (7.2, 13.7, 23.9%; log-rank Conclusion: An elevated NIIS independently predicts our hospital-defined endpoint of tumour detection at re-admission/follow-up in older adults with HF and enhances risk stratification beyond conventional factors. Routine assessment of nutrient-inflammation crosstalk may enable targeted cardio-oncology surveillance and intervention.

Indexed as

geriatric nutritional risk indexheart failurenutrient–inflammation interaction scoreprotein-energy malnutritionsystemic inflammationtumour necrosis factor-α

Identifiers

PMID41473193
PMCPMC12746645

What OpenQuestion 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 OpenQuestion graph.