Evidence map›Paper›PMID 30941234›Full record

ArticleJournal of breast cancer2019

Determining Whether High Nodal Burden in Early Breast Cancer Patients Can Be Predicted Preoperatively to Avoid Sentinel Lymph Node Biopsy.

Geok Hoon Lim, Sze Yiun Teo, John Carson Allen, Jubal Pallavi Chinthala, Lester Chee Hao Leong

Abstract read
In one paragraph

Article in Journal of breast cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  14. Sentinel Node Biopsy in Early Breast Cancer Patients with Palpable Axillary Node.Asian Pacific journal of cancer prevention : APJCP · 2020
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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.

Geok Hoon LimBreast Department, KK Women's and Children's Hospital, Singapore.ORCID 0000-0002-5296-3437
Sze Yiun TeoDepartment of Diagnostic & Interventional Imaging, KK Women's and Children's Hospital, Singapore.
John Carson AllenCentre for Quantitative Medicine, Duke NUS Medical School, Singapore.
Jubal Pallavi ChinthalaBreast Department, KK Women's and Children's Hospital, Singapore.
Lester Chee Hao LeongDepartment of Diagnostic Radiology, Singapore General Hospital, Singapore.ORCID 0000-0002-9888-7134

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe Z0011 trial showed that axillary lymph node dissection (ALND) can be safely avoided in breast cancer patients with low nodal burden (LNB). ALND can be performed in patients with high nodal burden (HNB). We aimed to determine whether HNB in early breast cancer patients can be predicted preoperatively to avoid sentinel lymph node biopsy (SLNB).

methodsEarly invasive breast cancer patients (cT1-2cN0) were retrospectively reviewed. We excluded patients with neoadjuvant chemotherapy and incomplete data. The patients were divided into the following groups based on surgical histology: no positive (N0), LNB, and HNB, defined as 0, 1-2, and ≥ 3 metastatic lymph nodes (LNs), respectively. Of the patients with metastatic nodal disease, only those with ALND were included in the analysis. Clinical, radiological, and histological parameters were evaluated using logistic regression analysis as predictors of HNB versus LNB and N0 combined.

resultsOf the 1,298 included patients, 832 (64.1%), 286 (22.0%), and 180 (13.9%) had N0, LNB, and HNB, respectively. Univariate logistic regression analysis revealed that sonographic features of breast tumor size (

conclusionThe detection of ≥ 4 abnormal LNs on ultrasound can help to identify HNB patients who require upfront ALND and thus avoid SLNB.

Indexed as

Breast neoplasmsLymph node dissectionSentinel lymph node biopsy

Identifiers

PMID30941234
PMCPMC6438828

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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.