Evidence map›Paper›PMID 30539905›Full record

ArticleChinese medical journal2018

Comparison and Correlation of Magnetic Resonance Imaging and Clinical Severity in Nonhuman Immunodeficiency Virus Patients with Cryptococcal Infection of Central Nervous System.

Xue-Qin Li, Shuang Xia, Jian-Song Ji, Yong-Hua Tang, Mei-Zhu Zheng, Yong-Mei Li, Fei Shan, Zhi-Yan Lu, Jian Wang, Jin-Kang Liu and 3 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in Chinese medical journal, 2018. 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 80% 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, 3 citations in OpenAlex.

  1. Review
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

13 authors at 10 institutions in 1 country.

Xue-Qin LiDepartment of Radiology, Beijing Youan Hospital Affiliated to Capital Medical University, Beijing 100069, China.
Shuang XiaDepartment of Radiology, Tianjin First Central Hospital, Tianjin 300192, China.
Jian-Song JiDepartment of Radiology, Lishui Municipal Central Hospital, The Fifth Affiliated Hospital of Wenzhou Medical University, Zhejiang University Lishui Hospital, Lishui, Zhejiang 323000, China.
Yong-Hua TangDepartment of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200020, China.
Mei-Zhu ZhengDepartment of Radiology, Tianjin Third Central Hospital, Tianjin 300170, China.
Yong-Mei LiDepartment of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400042, China.
Fei ShanDepartment of Radiology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei 430071, China.
Zhi-Yan LuDepartment of Radiology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei 430071, China.
Jian WangDepartment of Imaging Center, First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang 830054, China.
Jin-Kang LiuDepartment of Radiology, Xiangya Hospital Affiliated of Central South University, Changsha, Hunan 410013, China.
Hui-Juan ZhangDepartment of Radiology, Shengli Clinical Medical College of Fujian Medical University, FuJian Provincial Hospital South Branth, Fuzhou, Fujian 350004, China.
Yu-Xin ShiDepartment of Radiology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei 430071, China.
Hong-Jun LiDepartment of Radiology, Beijing Youan Hospital Affiliated to Capital Medical University, Beijing 100069, China.
Beijing YouAn Hospital · CNTianjin Medical University · CNZhongnan Hospital of Wuhan University · CNFirst Affiliated Hospital of Chongqing Medical University · CNFirst Affiliated Hospital of Xinjiang Medical University · CNFujian Medical University · CNLishui Central Hospital · CNRuijin Hospital · CNWuhan University · CNXiangya Hospital Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe incidence of cryptococcal meningitis among immunocompetent patients increases, especially in China and imaging plays an important role. The current study was to find the correlation between magnetic resonance imaging (MRI) manifestation and clinical severity in nonhuman immunodeficiency virus patients with cryptococcal infection of central nervous system (CNS).

methodsA total of 65 patients with CNS cryptococcal infection from August 2014 to October 2016 were retrospectively included in this study. All the patients had MRI data and clinical data. The patients were divided into two groups according to whether the patients were confirmed with identifiable underlying disease. Comparison and correlation of MRI and clinical data in both groups were investigated using independent sample t- test, Chi-square test, Mann-Whitney test and Spearman rank correlation analysis.

resultsIn all 65 patients, 41 cases (41/65, 63.1%; Group 1) had normal immunity and 24 cases (24/65, 36.9%; Group 2) had at least one identifiable underlying disease. Fever, higher percentage of neutrophil (NEUT) in white blood cell (WBC), and increased cell number of cerebral spinal fluid (CSF) were much common in patients with underlying disease (Group 1 vs. Group 2: Fever: 21/41 vs. 21/24, χ

conclusionsWith the increased number of the involved brain areas in patients with identifiable underlying disease, the body has lower immunity against the organism which might result in higher intracranial pressure and more severe clinical status.

Indexed as

AdolescentAdultAgedEncephalitisFemaleHumansMagnetic Resonance ImagingMaleMeningitis, CryptococcalMiddle AgedRetrospective StudiesYoung AdultCentral Nervous SystemClinical StatusCryptococcal MeningitisImmunityMagnetic Resonance Imaging

Identifiers

PMID30539905
PMCPMC6302650
OpenAlexW2903810821

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.