Evidence map›Paper›PMID 35840847›Full record

ArticleAnnals of surgical oncology2022

Inflammatory Breast Cancer: Is There a Role for Deescalation of Surgery?

Faina Nakhlis

Abstract read
PubMed Publisher
In one paragraph

Article in Annals of surgical oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 25% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

1 author at 1 institution in 1 country.

Faina NakhlisDivision of Breast Surgery, Department of Surgery, Brigham and Women's Hospital, Boston, MA, USA. fnakhlis@partners.org.ORCID http://orcid.org/0000-0003-4752-0161
Brigham and Women's Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inflammatory breast cancer (IBC) is a rare and aggressive presentation of breast cancer, characterized by higher propensity for locoregional recurrence and distant metastasis compared with non-IBC. Because of extensive parenchymal and overlying dermal lymphatic involvement by carcinoma, IBC is unresectable at diagnosis. Trimodality therapy (neoadjuvant chemotherapy followed by modified radical mastectomy and adjuvant comprehensive chest wall and regional nodal radiotherapy) has been a well-accepted treatment algorithm for IBC. Over the last few decades, several innovations in systemic therapy have resulted in rising rates of pathologic complete response (pCR) in both the affected breast and the axilla. The latter may present an opportunity for deescalation of lymph node surgery in patients with IBC, as those with an axillary pCR may be able to avoid an axillary dissection. To this end, feasibility data are necessary to address this question. There are very limited data on the safety of breast conservation of IBC; therefore, mastectomy remains the standard of care for this disease. There are also no data addressing the safety of immediate reconstruction in patients with IBC. Considering that some degree of deliberate skin-sparing to facilitate immediate breast reconstruction would be expected, given the extensive skin involvement by disease at diagnosis, the safest oncologic strategy to breast reconstruction in IBC would be the delayed approach.

Indexed as

Breast NeoplasmsInflammatory Breast NeoplasmsAxillaFemaleHumansMastectomyNeoadjuvant TherapyNeoplasm Recurrence, Local

Identifiers

PMID35840847
OpenAlexW4285491703

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.