Evidence map›Paper›PMID 36687257›Full record

ArticleIndian journal of surgical oncology2022

Predictive Factors for Unnecessary Axillary Dissection According to SLN Metastasis in T1, T2 Stage Breast Cancer.

Sami Benli, Süleyman Özkan Aksoy, Ali İbrahim Sevinç, Merih Güray Durak, Caner Baysan

Open access · greenAbstract read
In one paragraph

Article in Indian journal of surgical oncology, 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
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 90% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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 at 3 institutions in 1 country.

Sami BenliDept. of Surgery, Division of Surgical Oncology, Mersin University Medical Faculty, Ciftlikkoy Kampusu, 33343 Yenişehir, Mersin, Turkey.ORCID 0000-0003-4086-4316
Süleyman Özkan AksoyDept. of Surgery, Division of Breast Surgery, 9 Eylul University Medical Faculty, Izmir, Turkey.
Ali İbrahim SevinçDept. of Surgery, Division of Breast Surgery, 9 Eylul University Medical Faculty, Izmir, Turkey.
Merih Güray DurakDept. of Pathology, 9 Eylul University Medical Faculty, Izmir, Turkey.
Caner BaysanDept. of Public Health, Division of Epidemiology, Ankara University Medical Faculty, Ankara, Turkey.
Dokuz Eylül University · TRAnkara University · TRMersin Üniversitesi · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The axillary nodes' status is essential in determining the treatment algorithm according to complete clinical staging. Unnecessary axillary lymph node dissection (ALND) has been prevented after sentinel lymph node biopsy (SLNB) has occurred in current practice. However, approximately half of patients with positive SLNB do not have axillary metastatic lymph nodes. Our study aims to predict unnecessary ALND in patients with SLN metastases by evaluating the patients' clinicopathological data. In total, 221 patients with macrometastasis in SLNB who underwent completion ALND were evaluated retrospectively. Patients were divided into two groups: patients with metastases only in the sentinel lymph node and additional axillary lymph nodes. Univariate and multivariate logistic regression analyses were used to analyze the correlation between SLN metastasis and axillary lymph node metastasis; clinicopathological characteristics, including patient age, menopause status, tumor size and grade, receptor status proliferative marker status, and molecular subtypes of the tumor. In the evaluation of T1-2, cN0 breast cancer patients with SLNB in the form of macrometastasis, only SLNB metastasis was found in 118 (53.4%) patients. In 103 (46.6%) patients, additional axillary node metastasis was observed. The risk of additional nodal spread correlated with patient age older than fertility age (age of 49) (

Indexed as

ACOSOG Z0011ALNDBreast cancerSLNBT1 or T2

Identifiers

PMID36687257
PMCPMC9845505
OpenAlexW4283784324

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.