Evidence map›Paper›PMID 41641380›Full record

ArticleRespirology case reports2026

Autoimmune/Inflammatory Syndrome Induced by Adjuvants With Sarcoid-Like Pulmonary Lesions Triggered by Silicone Implant Rupture and Improved After Explantation.

Yuki Tsuda, Ryota Kikuchi, Nao Shioiri, Daigo Imasato, Waku Nakano, Taro Kufukihara, Mariko Kogami, Yuta Kono, Shinji Abe

Abstract read
In one paragraph

Article in Respirology case reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Yuki TsudaDepartment of Respiratory Medicine Tokyo Medical University Hospital Tokyo Japan.
Ryota KikuchiDepartment of Respiratory Medicine Tokyo Medical University Hospital Tokyo Japan.ORCID https://orcid.org/0000-0002-0854-3494
Nao ShioiriDepartment of Respiratory Medicine Tokyo Medical University Hospital Tokyo Japan.
Daigo ImasatoDepartment of Respiratory Medicine Tokyo Medical University Hospital Tokyo Japan.
Waku NakanoDepartment of Respiratory Medicine Tokyo Medical University Hospital Tokyo Japan.
Taro KufukiharaDepartment of Respiratory Medicine Tokyo Medical University Hospital Tokyo Japan.
Mariko KogamiDepartment of Respiratory Medicine Tokyo Medical University Hospital Tokyo Japan.
Yuta KonoDepartment of Respiratory Medicine Tokyo Medical University Hospital Tokyo Japan.
Shinji AbeDepartment of Respiratory Medicine Tokyo Medical University Hospital Tokyo Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Silicone implants can trigger adjuvant-induced autoimmune/inflammatory syndrome (ASIA). We present a 53-year-old woman who had undergone bilateral intramuscular silicone breast implantation at X-24 years. Following implant rupture at X year, she developed cough, fatigue, and arthralgia, accompanied by worsening sarcoid-like pulmonary lesions. After implant removal, her clinical symptoms and radiological findings improved. Histopathological examination findings identified foreign-body granulomas, fulfilling diagnostic criteria for ASIA. This case suggests that silicone leakage after implant rupture, rather than the duration of exposure, is a critical factor in disease development and progression. The sarcoid-like pulmonary lesions in this case may represent a sarcoid-like granulomatous reaction triggered by silicone exposure in the setting of ASIA, rather than true systemic sarcoidosis. Early implant removal appears beneficial for both the diagnosis and treatment of ASIA.

Indexed as

adjuvantsASIAautoimmunesarcoidosissilicone implant

Identifiers

PMID41641380
PMCPMC12864536

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Registered trials

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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.