Evidence map›Paper›PMID 37043118›Full record

ReviewCurrent treatment options in oncology2023

Tailoring Treatment for Patients with Inflammatory Breast Cancer.

Alexandra B Newman, Filipa Lynce

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current treatment options in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
6.0field-weighted citation impact, top 4% 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

9 citing papers in PubMed, 25 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

2 authors at 2 institutions in 1 country.

Alexandra B NewmanDepartment of Medicine, Brigham and Women's Hospital, 75 Francis Street, Boston, MA, 02115, USA.
Filipa LynceHarvard Medical School, Boston, MA, USA. filipa_lynce@dfci.harvard.edu.ORCID 0000-0001-6615-7076
Brigham and Women's Hospital · USHarvard University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

opinion statementInflammatory breast cancer (IBC) is a rare but aggressive subtype of breast cancer that has a propensity for locoregional recurrence and distant metastasis and is associated with a disproportionately high percentage of breast cancer deaths. IBC is not resectable at initial diagnosis and trimodality therapy is considered the standard treatment for IBC. This includes systemic therapy upfront, followed by modified radical mastectomy and comprehensive chest wall and regional node radiation. Despite this aggressive multi-modal treatment strategy, the prognosis remains worse in IBC when compared with non-inflammatory locally advanced breast cancers. For patients presenting with de novo stage IV IBC, treatment recommendations vary depending on tumor burden, cancer subtype, and presence of comorbidities. Efforts to improve outcomes in IBC are currently underway; however, progress has been affected by the low incidence of disease and limited number of dedicated studies in this population. Improvements in systemic therapies in breast cancer in general are likely to lead to improvements in IBC as well. More dedicated trials are needed to identify additional treatment strategies that may help to improve prognosis for these patients. Additionally, better frameworks for diagnosis, risk stratification based upon factors such as molecular subtype and response to neoadjuvant therapy, will be important to make further progress in IBC.

Indexed as

Breast NeoplasmsInflammatory Breast NeoplasmsFemaleHumansMastectomyNeoadjuvant TherapyNeoplasm Recurrence, LocalPrognosisRetrospective StudiesInflammatory breast cancerLymphovascular invasionModified radical mastectomy

Identifiers

PMID37043118
OpenAlexW4365135880

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.