Evidence map›Paper›PMID 32321897›Full record

ArticleInternal medicine (Tokyo, Japan)2020

Fatal Fulminant Legionnaires' Disease in a Patient on Maintenance Hemodialysis.

Akira Kawashima, Daisuke Katagiri, Isao Kondo, Emi Sakamoto, Minami Suzuki, Yohei Arai, Fumie Sato, Manami Tada, Fumihiko Hinoshita

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
0.2field-weighted citation impact, top 43% 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, 1 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

9 authors at 1 institution in 1 country.

Akira KawashimaDepartment of Nephrology, National Center for Global Health and Medicine, Japan.
Daisuke KatagiriDepartment of Nephrology, National Center for Global Health and Medicine, Japan.
Isao KondoDepartment of Nephrology, National Center for Global Health and Medicine, Japan.
Emi SakamotoDepartment of Nephrology, National Center for Global Health and Medicine, Japan.
Minami SuzukiDepartment of Nephrology, National Center for Global Health and Medicine, Japan.
Yohei AraiDepartment of Nephrology, National Center for Global Health and Medicine, Japan.
Fumie SatoDepartment of Nephrology, National Center for Global Health and Medicine, Japan.
Manami TadaDepartment of Nephrology, National Center for Global Health and Medicine, Japan.
Fumihiko HinoshitaDepartment of Nephrology, National Center for Global Health and Medicine, Japan.
National Center for Global Health and Medicine · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We herein report a case of fulminant Legionnaires' disease with autopsy findings in a patient on maintenance hemodialysis (HD). Chronic kidney disease is a strong risk factor for Legionnaires' disease, although there have been only a few reports in HD patients. Because most patients on HD are anuric, the use of rapid assay kits to detect antigens in urine samples for the diagnosis of Legionnaires' disease is not always feasible. We suggest the use of clinical predictive tools or the loop-mediated isothermal amplification (LAMP) method, which can be applied for anuric patients, such as those on HD, with pneumonia.

Indexed as

AutopsyHumansLegionella pneumophilaLegionnaires' DiseaseMaleMiddle AgedMolecular Diagnostic TechniquesNucleic Acid Amplification TechniquesRenal DialysisRenal Insufficiency, Chronicatypical pneumoniahemodialysis patientsimmunocompromised hostsLegionella pneumophila

Identifiers

PMID32321897
PMCPMC7474993
OpenAlexW3018873027

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.