Evidence map›Paper›PMID 35815307›Full record

ArticleCureus2022

A Case of Enigmatic Stroke Caused by Severe Systemic Sepsis: The Importance of Careful Assessment of Insidious Systemic Infection.

Taijun Hana, Raj S Lavadi, Ryoko Niwa, Sho Nakamura, Soichi Oya

Open access · diamondAbstract readCase Reports
In one paragraph

Article in Cureus, 2022. 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, top 85% 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, 0 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

5 authors at 2 institutions in 2 countries.

Taijun HanaDepartment of Neurosurgery, Saitama Medical Center/University, Kawagoe, JPN.
Raj S LavadiDepartment of Neurosurgery, Vydehi Institute of Medical Sciences and Research Centre, Bengaluru, IND.
Ryoko NiwaDepartment of Neurosurgery, Saitama Medical Center/University, Kawagoe, JPN.
Sho NakamuraDepartment of Neurosurgery, Saitama Medical Center/University, Kawagoe, JPN.
Soichi OyaDepartment of Neurosurgery, Saitama Medical Center/University, Kawagoe, JPN.
Social Insurance Saitama Chuo Hospital · JPSaitama Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Severe sepsis is a dreaded disease with high mortality, especially in the case of delayed detection. Early diagnosis and treatment initiation is critical for patient survival. However, the septic conditions might be masked by other clinical conditions such as stroke, which may result in a serious delay in diagnosis and treatment. We report a case of iliopsoas abscess that initially presented with cerebellar infarction and subarachnoid hemorrhage. Although severe neurological symptoms were prominent, some signs indicating systemic infection, such as "psoas position", prompted us to investigate the existence of systemic infection. Consequently, severe sepsis with multiple infectious foci, such as iliopsoas abscess, purulent spondylitis, mitral valve valvulitis, and brain abscess, was revealed and was detected as the cause of stroke. The timely and accurate diagnosis of sepsis minimized the delay of the initiation of antibiotic treatment. Approximately five months of intensive care, including two heart valve surgeries, cured the patient, and she was discharged with no neurological deficit. This case demonstrates the importance of careful assessment of the insidious systemic infection as a covert cause of stroke.

Indexed as

central nervous system infectioniliopsoas abscessphysical examinationpsoas positionsepsisstroke

Identifiers

PMID35815307
PMCPMC9256008
OpenAlexW4283803116

What OpenQuestion holds

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LicenceCC BY
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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.