Evidence map›Paper›PMID 40416969›Full record

ArticleFrontiers in immunology2025

Efficacy prediction of systemic immune-inflammation index and prognostic nutritional index in breast cancer patients and their variations after neoadjuvant chemotherapy.

Jingyi Ni, Xue Qi, Conghui Jin, Weiwei Xu, Xinghui Li, Li Song, Xunlei Zhang

Abstract read
In one paragraph

Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
–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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  5. Impact of vitamin D deficiency and inflammatory biomarkers on pathological response to neoadjuvant chemotherapy in breast cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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  6. PIV, PNI and HALP score for predicting pathological complete response in breast cancer after neoadjuvant chemotherapy: a systematic review and meta-analysis.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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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.

Jingyi Ni *Department of Oncology, Affiliated Tumor Hospital of Nantong University, Nantong, Jiangsu, China.
Xue Qi *Department of Oncology, Nantong Liangchun Hospital of Traditional Chinese Medicine, Nantong, Jiangsu, China.
Conghui Jin *Department of Oncology, Affiliated Tumor Hospital of Nantong University, Nantong, Jiangsu, China.
Weiwei XuDepartment of Oncology, Affiliated Tumor Hospital of Nantong University, Nantong, Jiangsu, China.
Xinghui LiDepartment of Breast Surgery, Affiliated Tumor Hospital of Nantong University, Nantong, Jiangsu, China.
Li SongDepartment of Oncology, Affiliated Tumor Hospital of Nantong University, Nantong, Jiangsu, China.
Xunlei ZhangDepartment of Oncology, Affiliated Tumor Hospital of Nantong University, Nantong, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The purpose of this study was to evaluate the predictive values of systemic immune-inflammatory index (SII), prognostic nutrition index (PNI), change of SII (ΔSII), change of PNI (ΔPNI) and ΔPNI-ΔSII score in patients with neoadjuvant chemotherapy for breast cancer. Methods: We enrolled in a retrospective study involving 72 patients with breast cancer between February 2020 and January 2022. All patients had clinical features of axillary lymph node metastasis and received neoadjuvant therapy. PNI and SII were detected by hematology before and after treatment. Chi-square test was used to compare the clinicopathological and experimental parameters among all groups. Logistic regression analysis was used to evaluate the prognostic value of each factor. Results: The prognosis was evaluated and 18 patients (25%) achieved pathological complete response (pCR) after neoadjuvant therapy. The pCR rate of breast cancer patients was significantly correlated with ER, PR, HER-2, molecular subsets, tumor size, vascular invasion, nerve invasion, N stage, clinical stage and chemotherapy regimen. Low ΔPNI, high ΔSII and higher ΔPNI-ΔSII score values had better prediction of therapeutic effect, especially the ΔPNI-ΔSII score. Conclusion: In breast cancer patients receiving neoadjuvant chemotherapy, ΔPNI-ΔSII score is an effective predictor of efficacy, which helps to identify high-risk groups and evaluate efficacy.

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsBreast NeoplasmsNutritional StatusNutrition AssessmentAdultAgedChemotherapy, AdjuvantFemaleHumansInflammationMiddle AgedNeoadjuvant TherapyPrognosisRetrospective StudiesTreatment Outcomebreast cancerneoadjuvant chemotherapyprognosisprognostic nutritional indexsystemic immune-inflammation index

Identifiers

PMID40416969
PMCPMC12098438

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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.