Evidence map›Paper›PMID 35836596›Full record

ArticleFrontiers in surgery2022

Toward Exempting from Sentinel Lymph Node Biopsy in T1 Breast Cancer Patients: A Retrospective Study.

Guozheng Li, Jiyun Zhao, Xingda Zhang, Xin Ma, Hui Li, Yihai Chen, Lei Zhang, Xin Zhang, Jiale Wu, Xinheng Wang and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing 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

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4 · The record

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5 · Who and what money

Authors and funding

12 authors at 3 institutions in 1 country.

Guozheng LiDepartment ofs Breast Surgery, Harbin Medical University Cancer Hospital, Harbin, China.
Jiyun ZhaoSchool of Life Science and Technology, Computational Biology Research Center, Harbin Institute of Technology, Harbin, China.
Xingda ZhangDepartment ofs Breast Surgery, Harbin Medical University Cancer Hospital, Harbin, China.
Xin MaDepartment ofs Breast Surgery, Harbin Medical University Cancer Hospital, Harbin, China.
Hui LiDepartment ofs Breast Surgery, Harbin Medical University Cancer Hospital, Harbin, China.
Yihai ChenDepartment ofs Breast Surgery, Harbin Medical University Cancer Hospital, Harbin, China.
Lei ZhangDepartment ofs Breast Surgery, Harbin Medical University Cancer Hospital, Harbin, China.
Xin ZhangDepartment ofs Breast Surgery, Harbin Medical University Cancer Hospital, Harbin, China.
Jiale WuDepartment ofs Breast Surgery, Harbin Medical University Cancer Hospital, Harbin, China.
Xinheng WangDepartment ofs Breast Surgery, Harbin Medical University Cancer Hospital, Harbin, China.
Yan ZhangSchool of Life Science and Technology, Computational Biology Research Center, Harbin Institute of Technology, Harbin, China.
Shouping XuDepartment ofs Breast Surgery, Harbin Medical University Cancer Hospital, Harbin, China.
Harbin Medical University · CNThird Affiliated Hospital of Harbin Medical University · CNHarbin Institute of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objective: Sentinel lymph node biopsy (SLNB) is used to assess the status of axillary lymph node (ALN), but it causes many adverse reactions. Considering the low rate of sentinel lymph node (SLN) metastasis in T1 breast cancer, this study aims to identify the characteristics of T1 breast cancer without SLN metastasis and to select T1 breast cancer patients who avoid SLNB through constructing a nomogram. Methods: A total of 1,619 T1 breast cancer patients with SLNB in our hospital were enrolled in this study. Through univariate and multivariate logistic regression analysis, we analyzed the tumor anatomical and clinicopathological factors and constructed the Heilongjiang Medical University (HMU) nomogram. We selected the patients exempt from SLNB by using the nomogram. Results: In the training cohort of 1,000 cases, the SLN metastasis rate was 23.8%. Tumor volume, swollen axillary lymph nodes, pathological types, and molecular subtypes were found to be independent predictors for SLN metastasis in multivariate regression analysis. Distance from nipple or surface and position of tumor have no effect on SLN metastasis. A regression model based on the results of the multivariate analysis was developed to predict the risk of SLN metastasis, indicating an AUC of 0.798. It showed excellent diagnostic performance (AUC = 0.773) in the validation cohort. Conclusion: The HMU nomogram for predicting SLN metastasis incorporates four variables, including tumor volume, swollen axillary lymph nodes, pathological types, and molecular subtypes. The SLN metastasis rates of intraductal carcinoma and HER2 enriched are 2.05% and 6.67%. These patients could be included in trials investigating the SLNB exemption.

Indexed as

axillary surgeryexemptingmolecular subtypesSLNBT1 breast cancer

Identifiers

PMID35836596
PMCPMC9273897
OpenAlexW4283652104

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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.