Evidence map›Paper›PMID 40385228›Full record

ArticleBreast cancer (Dove Medical Press)2025

Naples Prognostic Score (NPS) as a Novel Prognostic Score for Stage III Breast Cancer Patients: A Real-World Retrospective Study.

Yongmin Miao, Rui Yang, Bo Zhang, Jun Yang, Liang Yao, Wanfu Wang, Xiaoqing Liu, Xiangyang Guo, Hongyan Jia

Abstract read
In one paragraph

Article in Breast cancer (Dove Medical Press), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

2 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

9 authors.

Yongmin MiaoDepartment of Breast Surgery, Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, People's Republic of China.
Rui YangDepartment of Breast Surgery, Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, People's Republic of China.
Bo ZhangDepartment of Breast Surgery, Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, People's Republic of China.
Jun YangDepartment of Breast Surgery, Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, People's Republic of China.
Liang YaoDepartment of Breast Surgery, Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, People's Republic of China.
Wanfu WangDepartment of Breast Surgery, Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, People's Republic of China.
Xiaoqing LiuDepartment of Breast Surgery, Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, People's Republic of China.
Xiangyang GuoDepartment of Breast Surgery, Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, People's Republic of China.
Hongyan JiaDepartment of Breast Surgery, First Hospital of Shanxi Medical University, Taiyuan, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aims to explore whether Naples prognostic score (NPS) serves as a novel and original prognostic tool for predicting long-term survival in stage III breast cancer patients undergoing operation. Methods: This retrospective study included 306 cases of stage III breast cancer patients hospitalized in our hospital from January 2014 to December 2018. In this study, NPS was based on five objective markers: (1) serum albumin level; (2) total cholesterol; (3) neutrophil to lymphocyte ratio; (4) lymphocyte to monocyte ratio. Survival curves of DFS and OS differences were visualized by Kaplan-Meier method and Log rank test. The variables with p < 0.05 in univariate analysis were performed in the multivariate Cox proportional hazard model analysis, and the p-values < 0.05 was considered the underlying independent variables. Nomogram was constructed by the multivariate Cox proportional hazard model analysis. Results: Significant variations for DFS and OS categorized according to prognostic risk for the different NPS (DFS: χ Conclusion: NPS serves as a predictive tool for assessing the prognosis of stage III breast cancer after surgery. Nomogram prognostic model based on NPS show good prediction ability.

Indexed as

albuminbreast cancerLMRNaples prognostic scoreNLR

Identifiers

PMID40385228
PMCPMC12083478

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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.