Evidence map›Paper›PMID 41161800›Full record

ArticleInternal medicine (Tokyo, Japan)2026

Pleuritis Complicating Pulmonary Infection of Mycobacterium kyorinense.

Sho Sakamoto, Masahide Takeda, Satoshi Goshima, Yuri Takita, Yuka Izumiya, Yuji Okuda, Masaaki Sano, Kazuhiro Sato, Katsutoshi Nakayama

Abstract readCase Reports
In one paragraph

Article in Internal medicine (Tokyo, Japan), 2026. 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

9 authors.

Sho SakamotoDepartment of Respiratory Medicine, Akita University Graduate School of Medicine, Japan.
Masahide TakedaDepartment of Respiratory Medicine, Akita University Graduate School of Medicine, Japan.
Satoshi GoshimaDepartment of Respiratory Medicine, Akita University Graduate School of Medicine, Japan.
Yuri TakitaDepartment of Respiratory Medicine, Akita University Graduate School of Medicine, Japan.
Yuka IzumiyaDepartment of Respiratory Medicine, Akita University Graduate School of Medicine, Japan.
Yuji OkudaDepartment of Respiratory Medicine, Akita University Graduate School of Medicine, Japan.
Masaaki SanoDepartment of Respiratory Medicine, Akita University Graduate School of Medicine, Japan.
Kazuhiro SatoDepartment of Respiratory Medicine, Akita University Graduate School of Medicine, Japan.
Katsutoshi NakayamaDepartment of Respiratory Medicine, Akita University Graduate School of Medicine, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mycobacterium kyorinense is a rare mycobacterium. A 58-year-old man presented with sputum production and left-sided chest pain. Thickened left pulmonary cyst and pleural effusion were observed. A culture of the pleural fluid was negative, but the adenosine deaminase level was elevated. The patient was clinically diagnosed with M. kyorinense infection because this mycobacterium was identified in sputum samples on two occasions. The effusion and chest pain improved following treatment with levofloxacin, clarithromycin, and streptomycin. Identification of M. kyorinense is clinically significant because of its drug resistance. To our knowledge, this is the first reported case of pleuritis caused by a pulmonary M. kyorinense infection.

Indexed as

MycobacteriumMycobacterium Infections, NontuberculousPleurisyAnti-Bacterial AgentsHumansMaleMiddle AgedSputumAnti-Bacterial AgentsMycobacterium kyorinensenon-tuberculotic mycobacteriumnon-tuberculous mycobacterial pleuritispleural effusion

Identifiers

PMID41161800
PMCPMC13294548

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.