Evidence map›Paper›PMID 41877756›Full record

ReviewEcancermedicalscience2026

Locally advanced breast cancer is the number of dissected nodes after neoadjuvant chemotherapy important?

Josepmilly Del Valle Peña Colmenares, Wladimir José Villegas Rodríguez, Osama Bahsas Zaky, Carlos Eduardo Martínez, Douglas José Angulo Herrera

Abstract readReview
In one paragraph

Review in Ecancermedicalscience, 2026. 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
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Josepmilly Del Valle Peña ColmenaresGeneral Surgeon/Oncologic Surgeon, Department of Breast Pathology, Hospital Oncology Service of the Venezuelan Institute of Social Security (SOH-IVSS), Caracas, Venezuela.
Wladimir José Villegas RodríguezGeneral Surgeon/Oncologic Surgeon, Department of Breast Pathology, Hospital Oncology Service of the Venezuelan Institute of Social Security (SOH-IVSS), Caracas, Venezuela.
Osama Bahsas ZakyGeneral Surgeon/Oncologic Surgeon, Department of Breast Pathology, Hospital Oncology Service of the Venezuelan Institute of Social Security (SOH-IVSS), Caracas, Venezuela.
Carlos Eduardo MartínezGeneral Surgeon/Oncologic Surgeon, Department of Breast Pathology, Hospital Oncology Service of the Venezuelan Institute of Social Security (SOH-IVSS), Caracas, Venezuela.
Douglas José Angulo HerreraSchool of Statistics and Actuarial Sciences, Central University of Venezuela (UCV), Caracas 1040, Venezuela.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To assess whether the number of lymph nodes (LN) in breast cancer (BC) patients undergoing axillary dissection (AD) after neoadjuvant chemotherapy affects disease-free survival (DFS) and overall survival (OS). Methods: Descriptive, retrospective, longitudinal cut-off study (2011-2020). Results: 391 patients, 176 patients in the <10 LNs group and 215 ≥10 dissected LGs. The mean number of dissected nodes was 6.2 and 13.8 in the < or ≥ 10 LN groups, respectively. The <10 LN group had a higher proportion of stage IIIB ( Conclusion: The results of the study indicate that the number of nodes removed during AD does not affect survival (OS and EFS) in patients with neoadjuvant (ypN0/ypN+) BC. Axillary staging remains a key factor in the management of BC; therefore, an individualised approach considering the response to triple negative breast cancer and tumour burden in therapeutic decision making is recommended.

Indexed as

axillary lymphadenectomybreast cancerneoadjuvant chemotherapy

Identifiers

PMID41877756
PMCPMC13006540

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.