Evidence map›Paper›PMID 36313605›Full record

ArticleJournal of acute medicine2022

Who Is at Risk? A Critical Case of Japanese Encephalitis.

Yu-Hsiang Chen, Ko-Ying Huang, Chia-Chen Liu, Yi-Ming Weng

Abstract read
In one paragraph

Article in Journal of acute medicine, 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
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. 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

4 authors.

Yu-Hsiang ChenTaoyuan General Hospital Department of Emergency Medicine Taoyuan Taiwan.
Ko-Ying HuangTaipei Veterans General Hospital Department of Radiology Taipei Taiwan.
Chia-Chen LiuDepartment of Medicine Division of Neurology Taoyuan General Hospital, Taoyuan Taiwan.
Yi-Ming WengTaoyuan General Hospital Department of Emergency Medicine Taoyuan Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Japanese encephalitis (JE) is critical epidemic encephalitis caused by the JE virus (JEV) in Southeast Asia. The World Health Organization defined "acute encephalitis syndrome" (AES) as an acute onset of fever with a change of mental status and/or new-onset seizure, mainly for the surveillance of JE. The key clues for the diagnosis include the patient age group of unvaccinated era or waning vaccine-induced immunity and the history of possible mosquito bites in epidemic areas. We report a 47-year old man who is in an unvaccinated era with potential waning immunity. The patient presented with fever and altered mental status for 2 days. He was speechless and could not follow commands. The patient had gone camping in the countryside a week before the visit. At the emergency department, neck stiffness was noted. There was a leukocytosis with a left shift by blood cell count. The brain computed tomography was essentially normal. The cerebrospinal fluid (CSF) sample via lumbar puncture showed leukocytosis, a high protein level, and a low sugar level in comparison to serum tests. Further antibody test of CSF confirmed the diagnosis. Magnetic resonance imaging (MRI) of the brain revealed a high signal in the right thalamus and a mildly swollen left caudate nucleus 4 days after admission. He was extubated and finally discharged with partial dependency on activities of daily living. This case reminds us of the JE in AES. Emergency physicians should be aware of the suspicious case of unvaccinated age or waning immunity and possible mosquito bites in epidemic areas. The role of MRI on JE was also discussed in this article.

Indexed as

acute encephalitis syndromeJapanese encephalitismeningitis

Identifiers

PMID36313605
PMCPMC9561487

What OpenQuestion holds

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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.