Evidence map›Paper›PMID 36237483›Full record

ArticleBreast cancer (Dove Medical Press)2022

Factors Predicting Positive Sentinel Lymph Node Biopsy in Clinically Node-Negative Breast Cancer.

Thuraya S Alsumai, Norah Alhazzaa, Abdullah Alshamrani, Sarah Assiri, Amal Alhefdhi

Open access · goldAbstract read
In one paragraph

Article in Breast cancer (Dove Medical Press), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

17 citing papers in PubMed, 19 citations in OpenAlex.

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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

5 authors at 3 institutions in 1 country.

Thuraya S AlsumaiDepartment of Surgery, Section of Breast & Endocrine Surgery, King Faisal Specialist Hospital & Research Center, Riyadh, Saudi Arabia.ORCID 0000-0003-4555-7251
Norah AlhazzaaDepartment of Surgery, Section of Breast & Endocrine Surgery, King Faisal Specialist Hospital & Research Center, Riyadh, Saudi Arabia.
Abdullah AlshamraniDepartment of Surgery, Security Forces Hospital, Riyadh, Saudi Arabia.
Sarah AssiriDepartment of Surgery, Section of Breast & Endocrine Surgery, King Faisal Specialist Hospital & Research Center, Riyadh, Saudi Arabia.
Amal AlhefdhiDepartment of Surgery, Section of Breast & Endocrine Surgery, King Faisal Specialist Hospital & Research Center, Riyadh, Saudi Arabia.ORCID 0000-0003-4084-1990
King Faisal Specialist Hospital & Research Centre · SAAlfaisal University · SASecurity Forces Hospital · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Sentinel lymph node (SLN) biopsy (SLNB) is the standard tool to stage the axilla of breast cancer patients. This study aimed to identify the predictors of positive SLNB in patients with clinically node-negative breast cancer. Patients and Methods: A retrospective, single-institution cohort of patients with early-stage breast cancer without clinically identifiable axillary lymphadenopathy was chosen from January 2010 to December 2018. Logistic regression was used to identify possible predictors of positive SLNB. Results: Four hundred and seventy patients were identified; their mean age was 50±11 years. Most patients had the following characteristics: invasive ductal carcinoma (n=382, 81.3%), unilateral tumor (n=461, 98.1%), unifocal disease (n=351, 74.7%), intermediate grade (n=276, 59.0%), and estrogen and progesterone receptor positivity with human epidermal growth factor receptor 2 negativity (n=305, 64.9%). The mean size of the breast mass was 2.3±1.5 cm. SLNB was positive in 128 (27.2%) cases. The mean number of SLNs was 2±1.2. Axillary lymph node dissection was performed in 109 patients. The mean number of lymph nodes removed was 15±6. In 66 (60.6%) of the 109 patients with metastatic axillary nodes, only the SLNs were found to be positive. The number of SLNs, tumor size, tumor grade, receptor status, prominent axillary lymph nodes, and lymphovascular invasion predicted positive SLNB ( Conclusion: Our results suggest that a number of histopathological and radiological characteristics of breast cancer can predict SLNB positivity in clinically node-negative breast cancer patients.

Indexed as

axillary lymph node dissectionaxillary metastasishormonal receptorslymphatic metastasis

Identifiers

PMID36237483
PMCPMC9553108
OpenAlexW4304145125

What OpenQuestion holds

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LicenceCC BY-NC
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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.