Evidence map›Paper›PMID 39342230›Full record

ArticleWorld journal of surgical oncology2024

Prediction of non-sentinel lymph node metastases in T1-2 sentinel lymph node-positive breast cancer patients undergoing mastectomy following neoadjuvant therapy.

Xiaoxi Tang, Yang Feng, Wei Zhao, Rui Liu, Nan Chen

Abstract read
In one paragraph

Article in World journal of surgical oncology, 2024. 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
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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Xiaoxi Tang *Department of Oncology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Yang Feng *Department of Breast and Thyroid Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Wei ZhaoDepartment of Oncology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Rui LiuDepartment of Oncology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China. 303961@hospital.cqmu.edu.cn.
Nan ChenDepartment of Anesthesiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China. 302909@hospital.cqmu.edu.cn.

Funding

Kuanren Talents Program of the Second Affiliated Hospital of Chongqing Medical University Grant [2021] 24Natural Science Foundation of Chongqing, China [No. CSTB2023NSCQ-MSX020]
6 · The paper itself

Abstract

backgroundAxillary lymph node dissection (ALND) is the standard axillary management for breast cancer patients with positive sentinel lymph node biopsy (SLNB) after neoadjuvant therapy. Nevertheless, when that happens, the frequency of additional positive nodes is not properly evaluated. We aim to develop a prediction model to assess the frequency of additional nodal disease after a positive sentinel lymph node following neoadjuvant therapy.

methodsWe retrospectively analyzed the ultrasound and clinicopathological characteristics of breast cancer patients with 1-3 positive sentinel lymph nodes (SLN) undergoing mastectomy after neoadjuvant therapy (NAT) at our institution, and performed univariate and multivariate logistic analyses to confirm the factors affecting non-SLN metastasis. These factors were included to establish a nomogram, and the area under receiver operating characteristic curve (AUC) and decision curve analysis (DCA) were utilized to assess the validity of this model.

resultsA total of 126 breast cancer patients were ultimately included in our study, 38 (53.5%) patients were diagnosed with non-SLN metastases of all 71 patients in training set. The results of multifactorial logistic analysis suggested that lymph node metastasis ratio (LNR), short axis of lymph node and progesterone receptor (PR) were strongly associated with non-SLN metastasis. We established a nomogram using the above three variables as predictors, which yielded an area under the curve of 0.795, and validated with a favorable AUC of 0.876.

conclusionThe nomogram we constructed can accurately predict the likelihood of non-SLN metastasis in our patients with 1-3 positive SLN after NAT, which may help guide decision making regarding axillary management.

Indexed as

Breast NeoplasmsLymphatic MetastasisMastectomyNeoadjuvant TherapyNomogramsSentinel Lymph NodeSentinel Lymph Node BiopsyAdultAgedAxillaCarcinoma, Ductal, BreastFemaleFollow-Up StudiesHumansLymph Node ExcisionLymph NodesBreast cancerNeoadjuvant therapyNomogramnon-SLN metastases

Identifiers

PMID39342230
PMCPMC11439197

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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.