Evidence map›Paper›PMID 32440423›Full record

ArticlePlastic and reconstructive surgery. Global open2020

Breast Implant Illness: A Biofilm Hypothesis.

Mark Lee, Ganesa Ponraja, Kevin McLeod, Smathi Chong

Abstract read
In one paragraph

Article in Plastic and reconstructive surgery. Global open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 4 pooled it
–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

46 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  14. Truth or Myth: Is Breast Implant Illness Really an Illness?Plastic and reconstructive surgery. Global open · 2025
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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

4 authors.

Mark LeeDepartment of Plastic Surgery, St John of God Hospital Subiaco, Subiaco, Perth, Australia.
Ganesa PonrajaDepartment of General Surgery, Royal Perth Hospital, Perth, Australia.
Kevin McLeodClinipath, Perth, Australia.
Smathi ChongClinipath, Perth, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background"Breast implant illness" (BII) is a poorly defined cluster of nonspecific symptoms, attributed by patients as being caused by their breast implants. These symptoms can include joint pain, skin and hair changes, concentration, and fatigue. Many patients complaining of BII symptoms are dismissed as psychosomatic. There are currently over 10,000 peer-reviewed articles on breast implants, but at the time of commencing this study, only 2 articles discussed this entity. At the same time, mainstream media and social media are exploding with nonscientific discussion about BII.

methodsWe have prospectively followed 50 consecutive patients, self-referring for explantation due to BII. We analyzed their preoperative symptoms and followed up each patient with a Patient-Reported Outcome Questionnaire. All implants and capsules were, if possible, removed en bloc. Explanted implants were photographed. Implant shell and capsule sent for histology and microbiological culture.

resultsBII symptoms were not shown to correlate with any particular implant type, surface, or fill. There was no significant finding as to duration of implant or location of original surgery. Chronic infection was found in 36% of cases with

conclusionThe authors believe BII to be a genuine entity worthy of further study. We have identified microbiological and histological abnormalities in a significant number of patients identifying as having BII. A large proportion of these patients have reported resolution or improvement of their symptoms in patient-reported outcomes. Improved microbiology culture techniques may identify a larger proportion of chronic infection, and further investigation of immune phenotypes and toxicology may also be warranted in this group.

Identifiers

PMID32440423
PMCPMC7209857

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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.