Evidence map›Paper›PMID 41444275›Full record

ArticleScientific reports2025

Risk stratification system for sentinel lymph node metastasis in clinically node-negative early breast cancer with sonographically abnormal but cytologically negative axilla.

Wenjin Lin, Junrong Zhang, Rongxi Liang, Qin Ye, Zhenhu Lin, Xiujuan Zhang

Abstract read
In one paragraph

Article in Scientific reports, 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

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

2 citing papers in PubMed.

  1. Review
  2. 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

6 authors.

Wenjin Lin *Department of Ultrasound, Fujian Medical University Union Hospital, No.29 Xinquan Road, Fuzhou, 350001, Fujian, China.
Junrong Zhang *Department of General Surgery, Fujian Medical University Union Hospital, No.29 Xinquan Road, Fuzhou, 350001, Fujian, China.
Rongxi LiangDepartment of Ultrasound, Fujian Medical University Union Hospital, No.29 Xinquan Road, Fuzhou, 350001, Fujian, China.
Qin YeDepartment of Ultrasound, Fujian Medical University Union Hospital, No.29 Xinquan Road, Fuzhou, 350001, Fujian, China.
Zhenhu LinDepartment of Ultrasound, Fujian Medical University Union Hospital, No.29 Xinquan Road, Fuzhou, 350001, Fujian, China. 377579875@qq.com.
Xiujuan ZhangDepartment of Ultrasound, Fujian Medical University Union Hospital, No.29 Xinquan Road, Fuzhou, 350001, Fujian, China. 13075814040@163.com.

Funding

Joint Funds for the innovation of Science and Technology,Fujian province 2024Y9307
6 · The paper itself

Abstract

For clinically node-negative (cN0) breast cancer patients with sonographically suspicious lymph nodes (iN+) but negative fine-needle aspiration cytology (N0(f)), sentinel lymph node biopsy (SLNB) remains the first-line approach for axillary staging. However, most of these patients ultimately demonstrate SLN-negative pathology, highlighting a critical need for a risk stratification to safely reduce unnecessary SLNB procedures. To address this unmet clinical challenge, we developed a preoperative risk stratification model integrating clinicopathological and ultrasonographic features. This prospective cohort study analyzed 369 consecutive iN+/N0(f) early breast cancer patients who underwent contrast-enhanced ultrasound (CEUS)-guided SLN fine-needle aspiration between September 2022 and December 2024. Multivariable logistic regression identified five independent predictors of SLN metastasis: cT2 staging, tumor grade III, conventional ultrasound type III, CEUS pattern III/IV, and abnormal sentinel lymphatic channel morphology. The resultant nomogram demonstrated good discrimination, with AUCs of 0.83 (95% CI: 0.77-0.89) and 0.82 (95% CI: 0.71-0.92) in training and temporal validation cohorts, respectively. The nomogram-based risk stratification system demonstrated good clinical utility: the very-low-risk subgroup exhibited only 2.6% SLN-positive incidence (2/76), achieving a negative predictive value of 97.4%, with no macrometastases observed in SLN-positive cases. This risk stratification system provides a clinically implementable method for personalized axillary management, improving preoperative identification of iN+/N0(f) patients likely to benefit from SLNB exemption.

Indexed as

Breast NeoplasmsLymphatic MetastasisSentinel Lymph NodeAdultAgedAxillaBiopsy, Fine-NeedleFemaleHumansMiddle AgedNeoplasm StagingNomogramsProspective StudiesRisk AssessmentSentinel Lymph Node BiopsyUltrasonographyBreast cancerContrast-enhanced ultrasoundLymph nodeSentinel lymph node biopsy

Identifiers

PMID41444275
PMCPMC12739128

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.