Evidence map›Paper›PMID 30187266›Full record

ReviewInsights into imaging2018

Breast implant-associated anaplastic large cell lymphoma: a pictorial review.

Amit Chacko, Thomas Lloyd

Open access · goldAbstract readReview
In one paragraph

Review in Insights into imaging, 2018. 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
2.8field-weighted citation impact, top 10% 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, 18 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  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

2 authors at 1 institution in 1 country.

Amit ChackoDepartment of Diagnostic Radiology, Princess Alexandra Hospital, 199 Ipswich Rd, Woolloongabba, Brisbane, Queensland, 4102, Australia. amit.chacko@health.qld.gov.au.
Thomas LloydDepartment of Diagnostic Radiology, Princess Alexandra Hospital, 199 Ipswich Rd, Woolloongabba, Brisbane, Queensland, 4102, Australia.
Princess Alexandra Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast implant-associated anaplastic large cell lymphoma (BIA-ALCL) is a newly described and rare T-cell lymphoma of the breast. Since 2007, there have been 56 cases of confirmed BIA-ALCL in Australia and New Zealand. The incidence is believed to be on the rise as the prevalence of elective breast implantation increases. In 2016, the World Health Organization (WHO) classified BIA-ALCL as a recognised entity and emphasised the importance of surgical management of the disease. BIA-ALCL typically presents as a delayed, non-infective fluid collection around a textured breast implant or residual fibrous scar capsule. The mean age of presentation is 47 years, with an average time frame of 7.5 years following breast implantation. Although rare, BIA-ALCL is increasing in incidence. To avoid delays in diagnosis, radiologists should consider this form of lymphoma in the differential of any non-acute peri- or post-prosthetic effusion, and suggest cytological evaluation, so as not to miss this rare but important diagnosis. TEACHING POINTS: • BIA-ALCL is a newly described and rare T-cell lymphoma of the breast. • Since 2007, there have been 56 cases of confirmed BIA-ALCL in Australia and New Zealand. • BIA-ALCL presents as a delayed, non-infective fluid collection. • The effusion typically accumulates around a textured breast implant or residual fibrous capsule.

Indexed as

Breast imagingLymphNuclear imagingOncologic imagingUltrasound

Identifiers

PMID30187266
PMCPMC6206369
OpenAlexW2892161562

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.