Evidence map›Paper›PMID 32713908›Full record

ArticleInternal medicine (Tokyo, Japan)2020

Multiple Pulmonary Nodules in Leptospirosis.

Ran Nagai, Kei Yamamoto, Daisuke Shiojiri, Satoshi Kutsuna, Yasuyuki Kato, Nobuo Koizumi, Norio Ohmagari

Open access · diamondAbstract readCase Reports
In one paragraph

Article in Internal medicine (Tokyo, Japan), 2020. 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
0.3field-weighted citation impact, top 46% of its field
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, 2 citations in OpenAlex.

  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

7 authors at 2 institutions in 1 country.

Ran NagaiDisease Control and Prevention Center, National Center for Global Health and Medicine, Japan.
Kei YamamotoDisease Control and Prevention Center, National Center for Global Health and Medicine, Japan.
Daisuke ShiojiriDisease Control and Prevention Center, National Center for Global Health and Medicine, Japan.
Satoshi KutsunaDisease Control and Prevention Center, National Center for Global Health and Medicine, Japan.
Yasuyuki KatoDisease Control and Prevention Center, National Center for Global Health and Medicine, Japan.
Nobuo KoizumiDepartment of Bacteriology I, National Institute of Infectious Diseases, Japan.
Norio OhmagariDisease Control and Prevention Center, National Center for Global Health and Medicine, Japan.
National Center for Global Health and Medicine · JPNational Institute of Infectious Diseases · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A 21-year-old man presented with the chief complaints of fever and sore throat after visiting Cambodia and Thailand. Computed tomography revealed multiple pulmonary nodules. After performing antibiotic therapy, the pulmonary nodules without bacteremia disappeared completely. Paired microscopic agglutination tests revealed seroconversion against Leptospira serogroup Autumnalis. Thus, he was diagnosed with multiple pulmonary nodules caused by leptospirosis. Leptospirosis is a common zoonosis that occurs in tropical and subtropical areas. Its various clinical features include unspecified fever and Weil's disease. Although diffuse alveolar hemorrhaging is known to occur in severe leptospirosis, multiple pulmonary nodules resembling septic emboli or vasculitis are a rare complication.

Indexed as

LeptospiraLeptospirosisMultiple Pulmonary NodulesWeil DiseaseAdultAnimalsAntibodies, BacterialHumansMaleYoung AdultZoonosesAntibodies, BacterialLeptospiraleptospirosismultiple pulmonary nodules

Identifiers

PMID32713908
PMCPMC7725640
OpenAlexW3045250786

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.