Evidence map›Paper›PMID 38644471›Full record

ArticleBMC infectious diseases2024

Predictors of mortality and poor outcome for patients with severe infectious encephalitis in the intensive care unit: a cross-sectional study.

WenYan Zhao, YuLiang Zhou, YingYing Hu, WenJing Luo, Jing Wang, Hong Zhu, ZhiPeng Xu

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.6field-weighted citation impact, top 19% 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

5 citing papers in PubMed, 4 citations in OpenAlex.

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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 3 institutions in 1 country.

WenYan Zhao *Department of Neuropsychology, Zhongnan Hospital of Wuhan University, Wuhan, People's Republic of China.
YuLiang Zhou *Department of Neuropsychology, Zhongnan Hospital of Wuhan University, Wuhan, People's Republic of China.
YingYing HuDepartment of Neuropsychology, Zhongnan Hospital of Wuhan University, Wuhan, People's Republic of China.
WenJing LuoDepartment of Neurology, General Hospital of Central Theater Command, Wuhan, People's Republic of China.
Jing WangDepartment of Neuropsychology, Zhongnan Hospital of Wuhan University, Wuhan, People's Republic of China. wangjing871207@126.com.
Hong ZhuDepartment of Neuropsychology, Zhongnan Hospital of Wuhan University, Wuhan, People's Republic of China.
ZhiPeng XuDepartment of Neuropsychology, Zhongnan Hospital of Wuhan University, Wuhan, People's Republic of China. xzhp14@sina.com.
Zhongnan Hospital of Wuhan University · CNWuhan University · CNGeneral Hospital of Central Theater Command

Funding

Key Research and Development Project of Hubei Province 2022BCA039
6 · The paper itself

Abstract

backgroundThere are few thorough studies assessing predictors of severe encephalitis, despite the poor prognosis and high mortality associated with severe encephalitis. The study aims to evaluate the clinical predictors of mortality and poor outcomes at hospital discharge in patients with severe infectious encephalitis in intensive care units.

methodIn two Chinese hospitals, a retrospective cohort study comprising 209 patients in intensive care units suffering from severe infectious encephalitis was carried out. Univariate and multivariate logistic regression analyses were used to identify the factors predicting mortality in all patients and poor outcomes in all survivors with severe infectious encephalitis.

resultsIn our cohort of 209 patients with severe encephalitis, 22 patients died, yielding a mortality rate of 10.5%. Cerebrospinal fluid pressure ≥ 400mmH

conclusionsMultiple clinical, radiologic, and electrophysiological variables are independent predictive indicators for mortality and poor outcomes in patients with severe encephalitis in intensive care units. Identifying these outcome predictors early in patients with severe encephalitis may enable the implementation of appropriate medical treatment and help reduce mortality rates.

Indexed as

Intensive Care UnitsAdolescentAdultAgedChinaCross-Sectional StudiesFemaleHumansInfectious EncephalitisMaleMiddle AgedPrognosisRetrospective StudiesRisk FactorsTreatment OutcomeYoung AdultEncephalitisIntensive care unitsMortalityOutcomePredictor

Identifiers

PMID38644471
PMCPMC11034050
OpenAlexW4395007616

What OpenQuestion holds

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LicenceCC BY
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.