Evidence map›Paper›PMID 37760566›Full record

ArticleCancers2023

Improved Rate of Negative Margins for Inflammatory Breast Cancer Using Intraoperative Frozen Section Analysis.

Joshua Kong, Sudeshna Bandyopadhyay, Wei Chen, Faisal Al-Mufarrej, Lydia Choi, Mary A Kosir

Abstract read
In one paragraph

Article in Cancers, 2023. 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
–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

2 citing papers in PubMed.

  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

6 authors.

Joshua KongDepartment of Surgery, Wayne State University, 4160 John R, Suite 400, Detroit, MI 48201, USA.ORCID 0000-0001-9037-9613
Sudeshna BandyopadhyayKarmanos Cancer Institute, 4100 John R, Detroit, MI 48201, USA.
Wei ChenKarmanos Cancer Institute, 4100 John R, Detroit, MI 48201, USA.ORCID 0000-0001-6048-1860
Faisal Al-MufarrejKarmanos Cancer Institute, 4100 John R, Detroit, MI 48201, USA.
Lydia ChoiDepartment of Surgery, Wayne State University, 4160 John R, Suite 400, Detroit, MI 48201, USA.
Mary A KosirDepartment of Surgery, Wayne State University, 4160 John R, Suite 400, Detroit, MI 48201, USA.

Funding

Tumor Biology and Microenvironment (Program 1)P30CA022453 · NCI · WAYNE STATE UNIVERSITY · PI Julie Lynn Boerner · 1985 to 2026
$68.4M
NCI NIH HHS P30 CA022453
6 · The paper itself

Abstract

backgroundInflammatory breast cancer (IBC) is a rare and aggressive form of breast cancer with a poor survival rate. Modified radical mastectomy (MRM) with negative pathologic margins is critical for improved survival. We aim to study the potential benefit of intraoperative frozen section analysis (FSA) to improve disease-free margins.

methodsThis prospective, monocentric study included 19 patients who underwent MRM for IBC. For each patient, a 2 mm continuous skin edge was sent for FSA to guide further resection. The rate of tumor-free margins and the concurrence between the FSA and permanent pathological results were analyzed.

resultsOverall, 15 of the 19 patients achieved negative margins, including four patients who would have had positive margins without FSA. The odds ratio of achieving a negative final margin with FSA was infinity (

conclusionsThe FSA technique decreased the number of positive margins in IBC patients undergoing MRM, thereby potentially reducing the need for re-operation, allowing immediate wound closure, and preventing delays in the administration of adjuvant radiation therapy. More extensive trials are warranted to establish the use of intraoperative FSA in IBC treatment.

Indexed as

inflammatory breast cancerintraoperative frozen section analysisnegative margin

Identifiers

PMID37760566
PMCPMC10526412

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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.