ArticleCureus2020
Frequency of Human Immunodeficiency Virus in Patients Admitted with Acute Stroke.
Article in Cureus, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed, 2 citations in OpenAlex.
- Roles of Reactive Oxygen Species in Relationships Between Viral Infections and Alzheimer's Disease and Related Dementia.Antioxidants (Basel, Switzerland) · 2026Review
- Cenicriviroc prevents dysregulation of astrocyte/endothelial cross talk induced by ischemia and HIV-1 via inhibiting the NLRP3 inflammasome and pyroptosis.American journal of physiology. Cell physiology · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction Stroke is a leading cause of chronic disability and death in both developing and developed countries. A significant proportion of stroke patients are human immunodeficiency virus (HIV) positive. About half of the HIV patients experience some sort of neurological deficit in their lifetimes. The exact reason for the occurrence of stroke in HIV infected patients is poorly understood. The purpose of our study is to determine the frequency of HIV among patients admitted with acute stroke. Materials and methods This cross-sectional study is conducted at a major metropolitan hospital in Karachi for six months. A total of 130 patients of stroke between the ages of 30 and 70 years of either gender were included in this study. A complete history was taken and a physical examination was performed. Each patient underwent a battery of tests that included HIV serology, lipid profile, electrocardiography (ECG), chest X-ray (posteroanterior (PA) view), and computed tomography (CT) scan of the brain. Carotid Doppler ultrasonography to assess carotid artery stenosis was also ordered. The means and standard deviations of age and cluster of differentiation 4 (CD4) cell count were calculated. The frequencies and proportions of gender, diabetes mellitus (DM), hypertension (HTN), smoking, obesity, dyslipidemia, carotid artery stenosis, and HIV status were calculated. Stratification was done by applying the chi-square test and assuming p-value ≤0.05 as significant. This helped analyze the association of age, gender, DM, HTN, smoking, obesity, dyslipidemia, and carotid artery stenosis to the frequency of HIV. Results The mean age of the study population was 55.54 ± 11.166 years. There were 39 (30%) patients <50 years of age while 91 (70%) patients were ≥50 years of age. Gender distribution showed that 86 (66.15%) patients were male, and 44 (33.85%) patients were female. Furthermore, 71 (54.62%) patients were hypertensive, 53 (40.77%) were diabetic, 62 (47.69%) were smokers, 49 (37.69%) were obese, 52 (40%) had dyslipidemia, and 77 (59.23%) had carotid artery stenosis. The frequency of HIV was noted at 24 (18.46%). The mean CD4 count was estimated at 241 ± 103.295 cells/mm
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.