Evidence map›Paper›PMID 37670121›Full record

ArticleAnnals of surgical oncology2023

To Dissect or Not to Dissect: Can We Predict the Presence of Four or More Axillary Lymph Node Metastases in Postmenopausal Women with Clinically Node-Negative Breast Cancer?

Clara Farley, Roland Bassett, Funda Meric-Bernstam, Isabelle Bedrosian, Abigail Caudle, Sarah DeSnyder, Kelly Hunt, Henry Kuerer, Puneet Singh, Susie Sun and 3 more

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Article in Annals of surgical oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.4field-weighted citation impact, top 11% of its field
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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Trial
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 2 institutions in 1 country.

Clara FarleyDepartment of Surgical Oncology, Emory University Hospital, Atlanta, GA, USA.
Roland BassettDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Funda Meric-BernstamDepartment of Breast Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Isabelle BedrosianDepartment of Breast Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Abigail CaudleDepartment of Breast Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Sarah DeSnyderDepartment of Breast Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Kelly HuntDepartment of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Henry KuererDepartment of Breast Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Puneet SinghDepartment of Breast Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Susie SunDepartment of Breast Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Nina TamirisaDepartment of Breast Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Mediget TeshomeDepartment of Breast Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Rosa F HwangDepartment of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. rhwang@mdanderson.org.
The University of Texas MD Anderson Cancer Center · USEmory University Hospital · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
Division of Cancer Prevention, National Cancer Institute award number P30 CA016672
6 · The paper itself

Abstract

backgroundAxillary lymph node (ALN) involvement is important for prognosis and guidance of multidisciplinary treatment of breast cancer patients. This study sought to identify preoperative clinicopathologic factors predictive of four or more pathologically positive ALNs in patients with cN0 disease and to develop a predictive nomogram to inform therapy recommendations.

methodsUsing an institutional prospective database, the study identified postmenopausal women with cN0 invasive breast cancer undergoing upfront sentinel lymph node biopsy (SLNB) with or without completion ALND (cALND) between 1993 and 2007. Logistic regression analyses identified factors predictive of four or more positive nodes in the cN0 population and patients with one, two, or more SLNs.

resultsThe study identified 2532 postmenopausal women, 615 (24.3%) of whom underwent cALND. In the univariate analysis, tumor size, lymphovascular (LVI), histology, estrogen receptor (ER)-positive status, and multifocality/multicentricity were predictive of four or more positive nodes (n = 63; p < 0.05), and all except ER status were significant in the multivariate analysis. Of the 2532 patients, 1263 (49.2%) had hormone receptor (HR)-positive, human epidermal growth factor receptor 2 (HER2)-negative disease, and 30 (2.4%) were found to have four or more positive nodes. Of the 130 patients with exactly one positive SLN who underwent cALND (n = 130, 5.4%), 7 had four or more positive nodes, with grade as the only predictive factor (p = 0.01). Of the 33 patients with two or more positive SLNs who underwent cALND, 9 (27.3%) had four or more positive nodes after cALND, but no factors were predictive in this subset.

conclusionPostmenopausal women with early-stage cN0 HR-positive, HER2-negative breast cancer with a single positive SLN had a very low risk (5%) of having four or more positive nodes on final pathology. With such a low risk of N2 disease, limited staging with SLNB may be sufficient to guide therapy decisions for this subset of patients.

Indexed as

Breast NeoplasmsSentinel Lymph NodeAxillaFemaleHumansLymphatic MetastasisLymph Node ExcisionLymph NodesPostmenopauseSentinel Lymph Node Biopsy

Identifiers

PMID37670121
OpenAlexW4386465811

What OpenQuestion 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 OpenQuestion graph.