Evidence map›Paper›PMID 32323214›Full record

ArticleCEN case reports2020

Postmortem computed tomography of gas gangrene with aortic gas in a dialysis patient.

Rin Asao, Kazumasa Nishida, Hiromichi Goto, Yoshikazu Goto, Noriatsu Ichiba, Isao Ohsawa

Open access · hybridAbstract readCase Reports
In one paragraph

Article in CEN case reports, 2020. 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
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

0 citing papers in PubMed, 2 citations in OpenAlex.

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

6 authors at 2 institutions in 1 country.

Rin AsaoDepartment of Nephrology, Saiyu Soka Hospital, 1-7-22 Matsubara, Soka, Saitama, Japan.
Kazumasa NishidaDepartment of Nephrology, Saiyu Soka Hospital, 1-7-22 Matsubara, Soka, Saitama, Japan.
Hiromichi GotoDepartment of Nephrology, Saiyu Soka Hospital, 1-7-22 Matsubara, Soka, Saitama, Japan.
Yoshikazu GotoDepartment of Neurosurgery, Saiyu Soka Hospital, Soka, Japan.
Noriatsu IchibaDepartment of Radiology, Otsu City Hospital, Otsu, Japan.
Isao OhsawaDepartment of Nephrology, Saiyu Soka Hospital, 1-7-22 Matsubara, Soka, Saitama, Japan. i.osawa@saiyukai.com.
Soka Municipal Hospital · JPOtsu Municipal Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recently, postmortem imaging is sometimes used as an alternative to conventional autopsy. However, there are few case reports of postmortem imaging of dialysis patients. Here, we report a fatal case of gas gangrene involving a 76-year-old man who underwent dialysis. He died suddenly before a diagnosis could be established. Immediately after his death, postmortem computed tomography (PMCT) revealed gas accumulation in his right upper extremity and ascending aorta. Gas gangrene progresses rapidly and may sometimes result in sudden death before it is diagnosed. In this case, PMCT findings were useful to diagnose gas gangrene. Intravascular gas is a common finding on PMCT and is generally caused by cardiopulmonary resuscitation and decomposition. However, the detection of gas in the ascending aorta by PMCT was not described previously. Moreover, Gram stain and culture of the exudate showed anaerobic Gram-positive bacilli which suggested that the gas generation in the blood was caused by Clostridia species. To the best our knowledge, this is the first report of a dialysis patient whose cause of death was determined as gas gangrene using PMCT.

Indexed as

AgedAortaCardiopulmonary ResuscitationClostridiumClostridium InfectionsDeath, SuddenDiagnosisGas GangreneHumansMaleRenal DialysisTomography, X-Ray ComputedClostridia speciesDialysisGas gangreneIntravascular gasPostmortem imaging

Identifiers

PMID32323214
PMCPMC7502096
OpenAlexW3017719971

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Registered trials

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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.