Evidence map›Paper›PMID 38751692›Full record

ReviewWorld journal of oncology2024

Diagnosis and Management of Desmoid Fibromatosis of the Breast.

Aeryn Kangas-Dick, Muhammad Ali, Mariola Poss, Thaer Khoury, Kazuaki Takabe

Abstract readReview
In one paragraph

Review in World journal of oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
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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.

Aeryn Kangas-DickDepartment of Surgical Oncology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA.ORCID https://orcid.org/0000-0003-1264-2054
Muhammad AliDepartment of Pathology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA.
Mariola PossDepartment of Surgical Oncology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA.
Thaer KhouryDepartment of Pathology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA.ORCID https://orcid.org/0000-0002-8112-6590
Kazuaki TakabeDepartment of Surgical Oncology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA.ORCID https://orcid.org/0000-0002-6435-4241

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Desmoid fibromatosis of the breast (also known as desmoid tumor of the breast) is a rare entity infrequently encountered by oncologists and surgeons caring for patients with breast disease. The current body of literature is highly reliant on case series and extrapolations from other sites of desmoid tumor-related disease. Much remains unclear regarding the pathological origins, natural history, and response to treatment of this condition. Traditional treatment strategies have centered on surgical resection, which may result in significantly disfiguring cosmetic and functional outcomes, frequent need for re-operation, and associated morbidity. There are limited data to support the superiority of upfront surgical resection when compared to medical therapy or watchful waiting strategies. Current treatment guidelines for desmoid tumors do not focus on the breast as a site of disease and are purposefully ambiguous due to the paucity of evidence available. We aim to review the literature concerning desmoid fibromatosis of the breast and propose an algorithm for current evidence-based management of this rare disease in the context of our experience with this pathology at a high-volume quaternary referral center.

Indexed as

Breast fibromatosisBreast surgeryDesmoid fibromatosisDesmoid tumorSoft tissue tumors

Identifiers

PMID38751692
PMCPMC11092408

What OpenQuestion holds

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LicenceCC BY-NC
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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.