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ArticleNaunyn-Schmiedeberg's archives of pharmacology2026

A study on prevalence, clinical profile, severity and prescription pattern of drugs in patients with stroke.

Mohammed Misbah Ul Haq, Safa Hussain, Swetha Parupugalla, Sadia Fatima, Mohammed Zabeeruddin, Juveria Almas, Shaik Mohd Shoaib

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Article in Naunyn-Schmiedeberg's archives of pharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Mohammed Misbah Ul HaqDepartment of Pharmacy Practice, Deccan School of Pharmacy, Hyderabad, Telangana, India. drmdmisbah@outlook.com.
Safa HussainDepartment of Pharmacy Practice, Bharat Institute of Technology, Hyderabad, Telangana, India.
Swetha ParupugallaDepartment of Pharmacy Practice, Bharat Institute of Technology, Hyderabad, Telangana, India.
Sadia FatimaDepartment of Pharmacy Practice, Deccan School of Pharmacy, Hyderabad, Telangana, India.
Mohammed ZabeeruddinDepartment of Pharmacy Practice, Deccan School of Pharmacy, Hyderabad, Telangana, India.
Juveria AlmasDepartment of Pharmacy Practice, Deccan School of Pharmacy, Hyderabad, Telangana, India.
Shaik Mohd ShoaibDepartment of Pharmacy Practice, Deccan School of Pharmacy, Hyderabad, Telangana, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stroke remains a leading cause of mortality and long-term disability worldwide, with an increasing burden in low- and middle-income countries. This retrospective cross-sectional study aimed to evaluate the prevalence, clinical profile, stroke severity, and pharmacological management patterns among patients admitted with stroke in a tertiary care hospital. A total of 120 consecutive patients were included over a six-month period, and data were obtained from anonymized medical records, including demographics, stroke subtype, presenting symptoms, comorbidities, and prescribed medications. Stroke severity was assessed using the National Institutes of Health Stroke Scale (NIHSS), and statistical analyses were performed using descriptive and inferential methods. Stroke accounted for 25% of neurology admissions during the study period. The most prevalent age group was 51-60 years (33.3%), followed by 61-70 years (29.2%), with a male predominance (60%). Ischemic stroke constituted 75% of cases. The most common presenting symptom was hemiparesis (66.7%), followed by speech disturbances and visual impairment. Hypertension (58.3%) and diabetes mellitus (41.7%) were the most frequent comorbidities. The majority of patients presented with moderate stroke severity. Stroke severity increased significantly with age, whereas no significant difference was observed between sexes. Antiplatelet therapy was the most commonly prescribed treatment, and dual antiplatelet therapy was administered in 33.3% of patients. Thrombolytic therapy was used in a limited proportion of patients. Stroke in this cohort predominantly affected middle-aged and elderly individuals and was largely ischemic in nature. The high prevalence of modifiable risk factors highlights the need for improved preventive strategies, while the limited use of thrombolysis underscores gaps in acute stroke care.

Indexed as

Practice Patterns, Physicians'StrokeAdultAgedAged, 80 and overComorbidityCross-Sectional StudiesFemaleHumansMaleMiddle AgedPlatelet Aggregation InhibitorsPrevalenceRetrospective StudiesRisk FactorsSeverity of Illness IndexPlatelet Aggregation InhibitorsAntiplatelet TherapyClinical ProfileIschemic StrokeNIH Stroke ScaleRisk FactorsStrokeThrombolysis

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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 Socratic graph.