Evidence map›Paper›PMID 40535131›Full record

ArticleFrontiers in oncology2025

Survival prognosis evaluation in advanced breast cancer patients: a study on the application of the advanced lung cancer inflammation index.

Chunfeng Liang, Chunyan Yang, Qiujiao Yang, Yuchen Tang, Wenhai Zhang, Qixing Tan, Qinghong Qin

Abstract read
In one paragraph

Article in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 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

7 authors.

Chunfeng Liang *Department of Breast Surgery, Guangxi Medical University Cancer Hospital, Nanning, China.
Chunyan Yang *Department of Breast Surgery, Guangxi Medical University Cancer Hospital, Nanning, China.
Qiujiao YangDepartment of Breast Surgery, Guangxi Medical University Cancer Hospital, Nanning, China.
Yuchen TangDepartment of Breast Surgery, Guangxi Medical University Cancer Hospital, Nanning, China.
Wenhai ZhangDepartment of Breast Surgery, Guangxi Medical University Cancer Hospital, Nanning, China.
Qixing TanDepartment of Breast Surgery, Guangxi Medical University Cancer Hospital, Nanning, China.
Qinghong QinDepartment of Breast Surgery, Guangxi Medical University Cancer Hospital, Nanning, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Inflammation and nutritional status play critical roles in tumor initiation and progression. Advanced Lung Cancer Inflammation Index (ALI) has gained widespread attention as a novel biomarker for cancer prognosis evaluation. Methods: This retrospective study analyzed 163 advanced breast cancer patients with distant metastasis (Guangxi Medical University Cancer Hospital, 2016-2023). Patients were stratified into high-ALI (n=64) and low-ALI (n=99) groups via K-means clustering. Kaplan-Meier survival curves with log-rank testing were used to assess survival differences, while Cox proportional hazards models were employed to evaluate the independent prognostic value of ALI. The predictive performance of ALI was assessed using time-dependent ROC curves. Results: High ALI correlated with superior overall survival (log-rank p=0.0024) [HR=2.493 (95%CI 1.350-4.606) p = 0.004]. Multivariate analysis confirmed ALI as an independent prognostic factor (HR=0.39, 95% CI 0.16-0.95, p=0.037). ALI demonstrated stable predictive accuracy with 3-year AUC=0.645 and 5-year AUC=0.650 (C-index=0.65). Subgroup analyses confirmed prognostic consistency across clinical characteristics (p-interaction>0.05). Conclusion: ALI is an independent prognostic factor for advanced breast cancer patients with good predictive ability. It provides an important supplementary prognostic marker for clinical practice and can help optimize personalized treatment strategies.

Indexed as

advanced breast canceradvanced lung cancer inflammation index (ALI)inflammationnutritional statussurvival prognosis

Identifiers

PMID40535131
PMCPMC12174058

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.