Evidence map›Paper›PMID 33680604›Full record

ArticleCureus2021

Sentinel Node Biopsy in Ductal Carcinoma in Situ: Is it Justifiable?

Nour Al-Shurbasi, Natalie A Hirst, Stanley Kohlhardt

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 65% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
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

3 authors at 2 institutions in 1 country.

Nour Al-ShurbasiBreast Surgery, Chesterfield Royal Hospital, Chesterfield, GBR.
Natalie A HirstBreast Surgery, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, GBR.
Stanley KohlhardtBreast Surgery, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, GBR.
Sheffield Teaching Hospitals NHS Foundation Trust · GBChesterfield Royal Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFor invasive breast cancer, sentinel node biopsy (SNB) is an acceptable alternative to axillary node clearance (ANC), although in the recent era, its role is under review. In ductal carcinoma in situ (DCIS), the benefit of SNB is even less well defined. Despite this, guidelines still recommend that it is performed in selected cases of DCIS. The aim of our study was to evaluate the diagnostic value of performing SNB in DCIS.

methodsPatients with a diagnosis of DCIS who underwent axillary staging with SNB between 2008-2019 in our large volume tertiary centre were identified and included in the study.

resultsOut of the 48 patients who were identified, four patients had a positive SNB (8%). Two of those patients were found to have micro metastatic disease. None of the patients with a positive SNB had local or systemic recurrence (median follow up: 40 months). One non-breast cancer-related mortality was reported. Two patients were identified who had recurrent disease, one with an invasive recurrence in the breast, and the other with systemic recurrence in the form of bone disease. Both of these patients had a negative SNB.

conclusionOur results confirm that performing axillary staging with SNB in DCIS is not justifiable, as it does not affect patient outcomes. This supports the emerging evidence that being more surgically conservative may decrease morbidity without affecting patient survival.

Indexed as

alnd: - axillary lymph node dissectionaxillary clearanceductal carcinoma in situmicro metastasessentinel node biopsy

Identifiers

PMID33680604
PMCPMC7928077
OpenAlexW3126391401

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.