Evidence map›Paper›PMID 34983408›Full record

ArticleBMC infectious diseases2022

Stroke among highly active antiretroviral therapy-naive people living with the human immunodeficiency virus in China: a retrospective study of the characteristics, risk factors, and prognosis.

Ling Zhang, Yu Wang, Qiuhua Xu, Wei Zhang, Hongyuan Liang, Liang Wu, Liang Ni, Guiju Gao, Di Yang, Hongxin Zhao and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
1.3field-weighted citation impact, top 23% 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, 2 syntheses or guidelines pooled it, 5 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

11 authors at 1 institution in 1 country.

Ling Zhang *Clinical and Research Center of Infectious Diseases, Beijing Ditan Hospital, Jingshun East Street, Chaoyang District, Beijing, 100015, China.
Yu Wang *Clinical and Research Center of Infectious Diseases, Beijing Ditan Hospital, Jingshun East Street, Chaoyang District, Beijing, 100015, China.
Qiuhua XuClinical and Research Center of Infectious Diseases, Beijing Ditan Hospital, Jingshun East Street, Chaoyang District, Beijing, 100015, China.
Wei ZhangClinical and Research Center of Infectious Diseases, Beijing Ditan Hospital, Jingshun East Street, Chaoyang District, Beijing, 100015, China.
Hongyuan LiangClinical and Research Center of Infectious Diseases, Beijing Ditan Hospital, Jingshun East Street, Chaoyang District, Beijing, 100015, China.
Liang WuClinical and Research Center of Infectious Diseases, Beijing Ditan Hospital, Jingshun East Street, Chaoyang District, Beijing, 100015, China.
Liang NiClinical and Research Center of Infectious Diseases, Beijing Ditan Hospital, Jingshun East Street, Chaoyang District, Beijing, 100015, China.
Guiju GaoClinical and Research Center of Infectious Diseases, Beijing Ditan Hospital, Jingshun East Street, Chaoyang District, Beijing, 100015, China.
Di YangClinical and Research Center of Infectious Diseases, Beijing Ditan Hospital, Jingshun East Street, Chaoyang District, Beijing, 100015, China.
Hongxin ZhaoClinical and Research Center of Infectious Diseases, Beijing Ditan Hospital, Jingshun East Street, Chaoyang District, Beijing, 100015, China. 13911022130@163.com.
Jiang XiaoClinical and Research Center of Infectious Diseases, Beijing Ditan Hospital, Jingshun East Street, Chaoyang District, Beijing, 100015, China. shawjiang@163.com.
Beijing Ditan Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe aimed to clarify the characteristics, risk factors, and prognosis of stroke among HAART-naive people living with HIV (PLWH) in China.

methodsWe selected HAART-naive PLWH admitted to Beijing Ditan Hospital, Capital Medical University, from 1 January 2009 to 31 December 2019. Demographic and clinical data were obtained by searching an anonymous electronic case system. Descriptive analysis and logistic regression and Cox proportional hazard models were used to determine the characteristics and predictors of stroke among all HAART-naive PLWH and evaluate the risk factors of mortality in HAART-naive PLWH with stroke.

resultsStroke was diagnosed in 105 cases (3.7%) of 2867 HAART-naive PLWH. Multivariate logistic regression indicated that age of 30-55 years (OR 1.903, 95% CI 1.005-3.603, p = 0.048), age of ≥ 55 years (OR 4.104, 95% CI 1.928-8.737, p < 0.001), and CD4 count of < 200 cells/µL (OR 2.005, 95% CI 1.008-3.985, p = 0.047) were associated with increased odds of stroke. Diabetes (OR 3.268, 95% CI 1.744-6.125, p < 0.001), hypertension (OR 2.301, 95% CI 1.425-3.717, p = 0.001), syphilis (OR 2.003, 95% CI 1.300-3.089, p = 0.002), and complicated AIDS-defining CNS diseases (OR 7.719, 95% CI 4.348-13.703, p < 0.001) were risk factors for stroke. Of the 105 stroke patients, 12 (11.4%) died during hospitalisation, and the risk factors for mortality among patients with stroke were age of > 65 years (AHR: 8.783, 95% CI 1.522-50.668, p = 0.015), complicated severe pneumonia (AHR: 3.940, 95% CI 1.106-14.029, p = 0.034), and AIDS-defining CNS diseases (AHR: 19.766, 95% CI 3.586-108.961, p = 0.001).

conclusionsFor HAART-naive people living with HIV (PLWH), stroke occurred in various age groups, and early screening for stroke, timely intervention for risk factors among patients in various age groups, and controlling the CD4 count are extremely important in reducing the burden of stroke.

Indexed as

HIV InfectionsStrokeAdultAgedAntiretroviral Therapy, Highly ActiveCD4 Lymphocyte CountChinaHIVHumansMiddle AgedPrognosisRetrospective StudiesRisk FactorsHAART-naivePLWHRisk factorsStroke

Identifiers

PMID34983408
PMCPMC8725276
OpenAlexW4205218799

What OpenQuestion holds

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LicenceCC BY
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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.