Evidence map›Paper›PMID 40162464›Full record

ArticleBioinformation2024

Prescribing trends and rational drug use patterns in cardiovascular patients: A cross-sectional observational study.

Radhika Chikatipalli, Anitha Kuttiappan, Sanjeev Kumar, Vishali R, Priyanka Kujur, Afsal N A, Poojitha N R, Santenna Chenchula

Abstract read
In one paragraph

Article in Bioinformation, 2024. 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
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.

  1. Article
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

8 authors.

Radhika ChikatipalliDepartment of Pharmacology, Sri Venkateswara College of Pharmacy, Chittoor, India.
Anitha KuttiappanSVKM'S NMIMS, School of Pharmacy and Technology Management, Shirpur, India.
Sanjeev KumarDepartment of Pharmacology, People's College of Medical Sciences & Research Centre, Bhopal, India.
Vishali RDepartment of Pharmacology, Sri Venkateswara College of Pharmacy, Chittoor, India.
Priyanka KujurDepartment of Pharmacology, Sri Venkateswara College of Pharmacy, Chittoor, India.
Afsal N ADepartment of Pharmacology, Sri Venkateswara College of Pharmacy, Chittoor, India.
Poojitha N RDepartment of Pharmacology, Sri Venkateswara College of Pharmacy, Chittoor, India.
Santenna ChenchulaDepartment of Pharmacology, All India Institute of Medical Sciences, Bhopal, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular diseases (CVDs), encompassing conditions like coronary artery disease, hypertension and ischemic heart disease, are highly prevalent worldwide. This study analyzed prescribing trends and treatment appropriateness in CVD patients, focusing on adherence to guidelines, essential medicine use and generic drug prescriptions. A cross-sectional observational study was conducted on CVD-diagnosed patients. Data on prescribed medications-including drug classes, generic prescriptions and adherence to the Essential Drug List (EDL)-were collected and analyzed using IBM SPSS version 26.0. The most frequently prescribed drug classes included antiplatelets, diuretics and hypolipidemics. Aspirin was the most commonly prescribed medication (58.1%), followed by furosemide (36.5%), amlodipine (32.4%) and rosuvastatin (24.3%). Statins and calcium channel blockers were prescribed more often than angiotensin II receptor blockers and beta-blockers. On average, 13.2 drugs were prescribed per patient, with only 28.8% prescribed generically. Furthermore, 47.3% of medications were on the EDL. This study highlights the high prevalence of CVDs and the common drug classes prescribed to manage them. These findings provide important insights into current prescribing trends, particularly the frequent use of anti-hypertensive, antiplatelets, diuretics and hypolipidemics and suggest areas for optimizing medication management in this population. Additionally, there is a need to better manage polypharmacy in CVD patients.

Indexed as

Cardiovascular diseasesdrug utilizationessential drug listprescription pattern analysisrational drug useWHO core drug use indicators

Identifiers

PMID40162464
PMCPMC11953553

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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.