Evidence map›Paper›PMID 32657065›Full record

ArticleJournal of clinical neurology (Seoul, Korea)2020

Analysis of Risk Factors for a Poor Prognosis in Patients with Anti-

Yejia Mo, Li Wang, Libo Zhu, Feng Li, Gang Yu, Yetao Luo, Meng Ni

Open access · diamondAbstract read
In one paragraph

Article in Journal of clinical neurology (Seoul, Korea), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.4field-weighted citation impact, top 14% 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

13 citing papers in PubMed, 28 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 5 institutions in 2 countries.

Yejia Mo *Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.ORCID https://orcid.org/0000-0002-3199-914X
Li Wang *Department of Biology and Biochemistry, Center for Nuclear Receptors and Cell Signaling, University of Houston, Houston, TX, USA.ORCID https://orcid.org/0000-0003-1781-6324
Libo ZhuDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.ORCID https://orcid.org/0000-0001-5790-5482
Feng LiDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China. 954036024@qq.com.ORCID https://orcid.org/0000-0003-4786-7050
Gang YuDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China. gangyuw2013@126.com.ORCID https://orcid.org/0000-0001-7329-3594
Yetao LuoDepartment of Biostatistics, School of Public Health and Management, Chongqing Medical University, Chongqing, China.ORCID https://orcid.org/0000-0003-2941-5261
Meng NiDepartment of the First Clinical Medicine, Chongqing Medical University, Chongqing, China.ORCID https://orcid.org/0000-0001-8153-8627
The Affiliated Yongchuan Hospital of Chongqing Medical University · CNChongqing Medical University · CNChongqing Public Health Medical Center · CNUniversity of Houston · USZhejiang Hospital · CN

Funding

Chongqing Science and Technology Commission cstc, 2016jcyjA1406
6 · The paper itself

Abstract

background and purposeAnti-

methodsWe retrospectively analyzed the clinical data, laboratory indexes, imaging findings, and electroencephalogram (EEG) data of 60 patients with anti-NMDAR encephalitis. The modified Rankin Scale (mRS) scores of patients were collected when they were discharged from the hospital. The mRS scores were used to divide the patients into two groups, with mRS scores of 3-6 defined as a poor prognosis. Logistic regression analysis was used to analyze independent risk factors related to a poor prognosis.

resultsThis study found that 23 (38.3%) and 37 (61.7%) patients had good and poor prognoses, respectively. Logistic regression analysis showed that age, disturbance of consciousness at admission, and ≥50% slow waves on the EEG were significantly associated with patient outcomes. An age, consciousness, and slow waves (ACS) composite score was constructed to predict the prognosis of patients with anti-NMDAR encephalitis at an early stage based on regression coefficients.

conclusionsAge, disturbance of consciousness at admission, and ≥50% slow waves on the EEG were independent risk factors for a poor prognosis. The ACS prognostic composite score could play a role in facilitating early predictions of the prognosis of anti-NMDAR encephalitis.

Indexed as

Anti-NMDAR encephalitiselectroencephalogramprognostic composite score

Identifiers

PMID32657065
PMCPMC7354980
OpenAlexW3040705896

What OpenQuestion holds

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LicenceCC BY-NC
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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.