Evidence map›Paper›PMID 37754314›Full record

ArticleDiseases (Basel, Switzerland)2023

Tumor Characteristics Associated with Axillary Nodal Positivity in Triple Negative Breast Cancer.

Neha Chintapally, Katherine Englander, Julia Gallagher, Kelly Elleson, Weihong Sun, Junmin Whiting, Christine Laronga, Marie Catherine Lee

Abstract read
In one paragraph

Article in Diseases (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Differential expression of NEAT1 and miR-506-3p in triple-negative breast cancer: potential tissue-based diagnostic biomarkers.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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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

8 authors.

Neha ChintapallyUniversity of South Florida Morsani College of Medicine, Tampa, FL 33602, USA.
Katherine EnglanderUniversity of South Florida Morsani College of Medicine, Tampa, FL 33602, USA.ORCID 0009-0002-4129-6656
Julia GallagherUniversity of South Florida Morsani College of Medicine, Tampa, FL 33602, USA.
Kelly EllesonRegional Breast Care, Genesis Care Network, 8931 Colonial Center Dr #301, Fort Myers, FL 33905, USA.
Weihong SunComprehensive Breast Program, Moffitt Cancer Center, Tampa, FL 33612, USA.
Junmin WhitingDepartment of Biostatistics & Bioinformatics, Moffitt Cancer Center, Tampa, FL 33612, USA.
Christine LarongaComprehensive Breast Program, Moffitt Cancer Center, Tampa, FL 33612, USA.
Marie Catherine LeeComprehensive Breast Program, Moffitt Cancer Center, Tampa, FL 33612, USA.ORCID 0000-0002-1756-7279

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Larger-size primary tumors are correlated with axillary metastases and worse outcomes. We evaluated the relationships among tumor size, location, and distance to nipple relative to axillary node metastases in triple-negative breast cancer (TNBC) patients, as well as the predictive capacity of imaging. We conducted a single-institution, retrospective chart review of stage I-III TNBC patients diagnosed from 1998 to 2019 who underwent upfront surgery. Seventy-three patients had a mean tumor size of 20 mm (range 1-53 mm). All patients were clinically node negative. Thirty-two patients were sentinel lymph node positive, of whom 25 underwent axillary lymph node dissection. Larger tumor size was associated with positive nodes (

Indexed as

axillary lymph node metastasisbreast cancertriple negative subtype

Identifiers

PMID37754314
PMCPMC10529347

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.