Evidence map›Paper›PMID 23765424›Full record

SynthesisCurrent hematologic malignancy reports2013

Breast implant-associated anaplastic large cell lymphoma: a systematic review of the literature and mini-meta analysis.

Philip A Thompson, H Miles Prince

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Current hematologic malignancy reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Review
  6. A structured pathway for developing your complex abdominal hernia service: our York pathway.Hernia : the journal of hernias and abdominal wall surgery · 2021
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Primary Breast Lymphoma in the United States: 1975-2013.Journal of the National Cancer Institute · 2017
    Article
  14. Review
  15. Users' guide to the surgical literature: how to assess an article about harm in surgery.Canadian journal of surgery. Journal canadien de chirurgie · 2016
    Article
  16. Article
  17. Review
  18. Review
  19. Article
  20. 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.

Philip A ThompsonDepartment of Clinical Haematology and Bone Marrow Transplantation, Royal Melbourne Hospital, Parkville, Australia.
H Miles Prince

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast implant-associated ALCL (BIA-ALCL) is a rare, but likely under-reported entity, which most commonly presents with an effusion developing between the breast implant and the host fibrous capsule that surrounds it. It has been described in association with breast implants used for post-cancer reconstructive surgery and when implanted for purely cosmetic reasons. Two different presentations are seen; presentation with an effusion alone +/- co-existing capsular contracture, without an associated mass, and presentation with a mass lesion +/- an effusion. These two presentations are associated with very different outcomes, with women presenting with effusion alone having an excellent long-term survival, even in the absence of specific therapy other than implant removal. In these women, no further therapy other than implant removal is likely necessary. In contrast, women presenting with a mass lesion have a higher rate of relapse and may require more aggressive therapy.

Indexed as

Breast ImplantationBreast ImplantsBreast NeoplasmsFemaleHumansLymphoma, Large-Cell, AnaplasticRisk Factors

Identifiers

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.