Evidence map›Paper›PMID 38403765›Full record

ArticleInternal medicine (Tokyo, Japan)2024

Autopsy of Drug-induced Lung Injury with Atypical Diffuse Alveolar Disorder due to Amiodarone.

Hikaru Mamizu, Hiroki Kohda, Yuusuke Tomita, Takuma Hatakeyama, Maiko Mamizu, Daisuke Ishikawa, Hidenori Kawakami, Toshiki Furukawa, Takashi Ishida, Tsuyoshi Sakai

Abstract readCase Reports
In one paragraph

Article in Internal medicine (Tokyo, Japan), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Hikaru MamizuDepartment of Internal Medicine, Niigata Prefectural Central Hospital, Japan.
Hiroki KohdaDepartment of Internal Medicine, Niigata Prefectural Central Hospital, Japan.
Yuusuke TomitaDepartment of Internal Medicine, Niigata Prefectural Central Hospital, Japan.
Takuma HatakeyamaDepartment of Internal Medicine, Niigata Prefectural Central Hospital, Japan.
Maiko MamizuDepartment of Internal Medicine, Niigata Prefectural Central Hospital, Japan.
Daisuke IshikawaDepartment of Internal Medicine, Niigata Prefectural Central Hospital, Japan.
Hidenori KawakamiDepartment of Internal Medicine, Niigata Prefectural Central Hospital, Japan.
Toshiki FurukawaDepartment of Internal Medicine, Niigata Prefectural Central Hospital, Japan.
Takashi IshidaDepartment of Internal Medicine, Niigata Prefectural Central Hospital, Japan.
Tsuyoshi SakaiDepartment of Diagnostic Pathology, Niigata Prefectural Central Hospital, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Amiodarone, a prominent antiarrhythmic drug, may cause lung injury. We herein report the case of an 87-year-old man who had been taking amiodarone for 5 years and was subsequently referred due to respiratory failure. Chest computed tomography revealed multiple consolidations with air bronchograms in both lungs. Despite administering steroid pulse therapy, his respiratory failure worsened, and he died 3 days later. Autopsy revealed hyaline membrane formation and organic formation with fibrin deposition. Drug-induced lung injury caused by amiodarone was confirmed by autopsy. Caution is therefore required when fibrin deposition in the alveolar spaces is observed in such cases, which are prone to suffer a rapid deterioration.

Indexed as

AmiodaroneAnti-Arrhythmia AgentsAutopsyPulmonary AlveoliAged, 80 and overFatal OutcomeHumansLung InjuryMaleAmiodaroneAnti-Arrhythmia Agentsacute fibrinous and organizing pneumoniaamiodaronediffuse alveolar damagedrug-induced lung injuryfibrin deposition

Identifiers

PMID38403765
PMCPMC11518590

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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.