Evidence map›Paper›PMID 41305711›Full record

Observational studyMedicine2025

Prognostic value of pan-immune-inflammation in breast cancer patients with lymph node metastasis and neoadjuvant therapy.

Zengyan Wang, Xiong Wu, Leyi Yang, Yujuan Guo, Xiaoxu Zeng, Xin Yan, Jianhui Chen

Abstract readObservational Study
In one paragraph

Observational study in Medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Zengyan WangDepartment of Breast Surgery, Zhangzhou Municipal Hospital of Fujian Province and Zhangzhou Affiliated Hospital of Fujian Medical University, Zhangzhou, Fujian Province, People's Republic of China.ORCID 0009-0009-5687-9572
Xiong Wu
Leyi Yang
Yujuan Guo
Xiaoxu Zeng
Xin Yan
Jianhui Chen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to evaluate the prognostic value of the pan-immune-inflammation value (PIV) in breast cancer patients with lymph node metastasis receiving neoadjuvant therapy. A total of 144 patients treated at our hospital between January 2019 and December 2022 were retrospectively analyzed. PIV was calculated from baseline blood counts obtained before neoadjuvant chemotherapy. Using X-tile software, the optimal cutoff value of 187 was identified, and patients were classified into high (≥187) and low (<187) PIV groups. Progression-free survival (PFS) was assessed using the Kaplan-Meier method and log-rank test, and multivariate Cox regression was performed to determine independent prognostic factors. Predictive accuracy was further evaluated with receiver operating characteristic curves. Patients with high-PIV values had significantly shorter PFS compared with those in the low-PIV group (P = .002). Multivariate Cox regression confirmed PIV as an independent prognostic factor. Receiver operating characteristic curve analysis showed that PIV had good predictive performance for 1-, 2-, and 3-year PFS, with AUCs of 0.867, 0.802, and 0.853, respectively. PIV was associated with prognosis in breast cancer patients with lymph node metastasis undergoing neoadjuvant therapy and demonstrated favorable predictive performance in this study. Nevertheless, as this was a single-center retrospective analysis with limited sample size, further validation in larger prospective multicenter studies is necessary before clinical application.

Indexed as

Breast NeoplasmsInflammationNeoadjuvant TherapyAdultAgedFemaleHumansKaplan-Meier EstimateLymphatic MetastasisMiddle AgedPrognosisRetrospective StudiesROC Curvebiomarkerbreast cancer with lymph node metastasisneoadjuvant therapypan-immune-inflammation valueprognosis

Identifiers

PMID41305711
PMCPMC12643588

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.