Evidence map›Paper›PMID 42337476›Full record

ArticleBMC cancer2026

The clinical value of the combined detection of circulating low ⁃ density neutrophils and inflammatory markers in breast cancer with lymph node metastasis.

Dongping Mo, Cong Li, Xuelian Mao, Lijun Zheng, Feng Yan

Abstract read
In one paragraph

Article in BMC cancer, 2026. 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

5 authors.

Dongping MoDepartment of Clinical Laboratory, Jiangsu Cancer Hospital & Nanjing Medical University Affiliated Cancer Hospital & Jiangsu Institute of Cancer Research, Nanjing, Jiangsu, 210009, People's Republic of China. moxiaoyubang@163.com.ORCID https://orcid.org/0000-0002-3662-4806
Cong LiDepartment of Clinical Laboratory, Jiangsu Cancer Hospital & Nanjing Medical University Affiliated Cancer Hospital & Jiangsu Institute of Cancer Research, Nanjing, Jiangsu, 210009, People's Republic of China.
Xuelian MaoDepartment of Clinical Laboratory, Jiangsu Cancer Hospital & Nanjing Medical University Affiliated Cancer Hospital & Jiangsu Institute of Cancer Research, Nanjing, Jiangsu, 210009, People's Republic of China.
Lijun ZhengDepartment of Clinical Laboratory, Jiangsu Cancer Hospital & Nanjing Medical University Affiliated Cancer Hospital & Jiangsu Institute of Cancer Research, Nanjing, Jiangsu, 210009, People's Republic of China.
Feng YanDepartment of Clinical Laboratory, Jiangsu Cancer Hospital & Nanjing Medical University Affiliated Cancer Hospital & Jiangsu Institute of Cancer Research, Nanjing, Jiangsu, 210009, People's Republic of China. yanfeng@jszlyy.com.cn.ORCID http://orcid.org/0000-0003-3030-5211

Funding

The Jiangsu Provincial Key Research and Development Program No. BF2024055The National Natural Science Foundation of China No. 82472363
6 · The paper itself

Abstract

backgroundBreast cancer (BC) is the most prevalent cancer in women globally, with axillary lymph node metastasis (LNM) and distant metastasis being key prognostic factors linked to survival. Circulating low-density neutrophils (LDNs) in cancer patients are associated with tumor-supportive role. This study assessed the clinical relevance of combining circulating LDNs with hematological indicators in BC patients with LNM.

methodsPeripheral blood samples from 184 BC patients were analyzed using flow cytometry to measure the LDNs levels. Lasso logistic regression was used for variable selection, and univariate and multivariate logistic regression identified independent risk factors. A predictive nomogram was developed and validated with an external cohort.

resultsLDNs were elevated in BC patients, especially those with LNM. Seven variables-LDNs, CEA, CA153, PLR, SIRI, NMLR, and NHR-were identified for further analysis. Multivariate logistic regression identified five of these as independent risk factors for LNM: LDNs (OR = 2.307, P = 0.032), CEA (OR = 4.027, P < 0.001), CA153 (OR = 2.440, P = 0.016), PLR (OR = 2.563, P = 0.014), and SIRI (OR = 4.617, P = 0.003). The nomogram model based on these factors demonstrated good predictive performance with an optimism-corrected C-statistic of 0.780, consistent in the external validation set (AUC = 0.762). The calibration curve confirmed good clinical applicability.

conclusionThis study suggests circulating LDNs levels may be potential biomarkers for BC progression, and a nomogram combing LDNs with other hematological indicators shows potential for identifying patients with LNM.

Indexed as

Biomarkers, TumorBreast NeoplasmsNeutrophilsAdultAgedFemaleHumansLymphatic MetastasisMiddle AgedNomogramsPrognosisRisk FactorsBiomarkers, TumorBreast cancerInflammatory markersLow ⁃ density neutrophilsLymph node metastasisNomogram model

Identifiers

PMID42337476
PMCPMC13548714

What Socratic 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 Socratic graph.