Evidence map›Paper›PMID 39524120›Full record

ArticleRespiratory medicine case reports2024

A case of pulmonary co-infection with

Tomoya Sagawa, Seiko Ohno, Yoji Urata, Tamiko Takemura, Mamiko Niki, Yukihiro Kaneko, Shigeki Nakamura, Takashi Umeyama, Yoshitsugu Miyazaki, Tatsuya Yuba and 2 more

Abstract readCase Reports
PubMed Full text at PMC Publisher
In one paragraph

Article in Respiratory medicine case reports, 2024. 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. Mixed InvasiveRespirology case reports · 2026
    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

12 authors.

Tomoya SagawaInflammation and Immunology, Kyoto Prefectural University of Medicine Graduate School of Medical Science, Kyoto, Japan.
Seiko OhnoDepartment of Respiratory Medicine, Japanese Red Cross Kyoto Daiichi Hospital, Kyoto, Japan.
Yoji UrataDepartment of Pathology, Japanese Red Cross Kyoto Daiichi Hospital, Kyoto, Japan.
Tamiko TakemuraDepartment of Pathology, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Japan.
Mamiko NikiDepartment of Bacteriology, Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan.
Yukihiro KanekoDepartment of Bacteriology, Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan.
Shigeki NakamuraDepartment of Microbiology, Tokyo Medical University, Tokyo, Japan.
Takashi UmeyamaDepartment of Fungal Infection, National Institute of Infectious Diseases, Tokyo, Japan.
Yoshitsugu MiyazakiDepartment of Fungal Infection, National Institute of Infectious Diseases, Tokyo, Japan.
Tatsuya YubaDepartment of Respiratory Medicine, Japanese Red Cross Kyoto Daiichi Hospital, Kyoto, Japan.
Chieko TakumiDepartment of Respiratory Medicine, Japanese Red Cross Kyoto Daiichi Hospital, Kyoto, Japan.
Noriya HiraokaDepartment of Respiratory Medicine, Japanese Red Cross Kyoto Daiichi Hospital, Kyoto, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A 54-year-old woman with fever and cough presented with left upper lobe consolidation and para-aortic and hilar lymphadenopathies and was diagnosed with sarcoidosis, and her condition improved spontaneously. Over the next 15 years, the patient experienced seven similar episodes and was treated with glucocorticoids for the first time in the eighth episode, but subsequently died of respiratory failure. The autopsy revealed diffuse alveolar damage and co-infection with

Indexed as

Aspergillus fumigatusCo-infectionMucoralesSarcoidosis

Identifiers

PMID39524120
PMCPMC11549992

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.