Evidence map›Paper›PMID 38389602›Full record

ArticleCureus2024

Analysis of Drugs Prescribed to Elderly Patients in a Tertiary Health Care Center in Raipur, Central India: An Observational Study.

Yogendra Keche, Nitin R Gaikwad, Preetam N Wasnik, Keshao Nagpure, Md Sabah Siddiqui, Apoorva Joshi, Suryaprakash Dhaneria, Gevesh Dewangan, Jhasaketan Meher, Pranita Das

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 35% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Observational
  3. 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

10 authors at 3 institutions in 1 country.

Yogendra KechePharmacology, All India Institute of Medical Sciences, Raipur, Raipur, IND.
Nitin R GaikwadPharmacology, All India Institute of Medical Sciences, Raipur, Raipur, IND.
Preetam N WasnikGeneral Medicine, All India Institute of Medical Sciences, Raipur, Raipur, IND.
Keshao NagpureGeneral Medicine, All India Institute of Medical Sciences, Nagpur, Nagpur, IND.
Md Sabah SiddiquiGeneral Medicine, All India Institute of Medical Sciences, Raipur, Raipur, IND.
Apoorva JoshiPharmacology, All India Institute of Medical Sciences, Raipur, Raipur, IND.
Suryaprakash DhaneriaPharmacology and Therapeutics, Ruxmaniben Deepchand Gardi Medical College, Ujjain, IND.
Gevesh DewanganGeneral Medicine, All India Institute of Medical Sciences, Raipur, Raipur, IND.
Jhasaketan MeherGeneral Medicine, All India Institute of Medical Sciences, Raipur, Raipur, IND.
Pranita DasGeneral Medicine, All India Institute of Medical Sciences, Raipur, Raipur, IND.
All India Institute of Medical Sciences, NagpurAll India Institute of Medical Sciences Raipur · INRuxmaniben Deepchand Gardi Medical College · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Most elderly patients suffer from multiple diseases and are on multiple drugs for treatment. Polypharmacy in the elderly, physiological changes with old age, changes in the pharmacokinetics and pharmacodynamic effects of many drugs, and newer drug prescription trends for diseases like diabetes and cardiovascular disease make drug prescribing in the elderly more difficult. There are many chances of drug-drug interactions with easily available over-the-counter (OTC) medications. To prevent the irrational use of drugs in the elderly, there is a need for prescription analysis studies. Prescription analysis studies will help in finding errors in prescriptions and also change trends in the use of medication among the elderly. Methodology This cross-sectional observation study was conducted on 234 elderly patients to investigate medicine use patterns among the geriatric patients attending the Medicine Outpatient Department in a tertiary care teaching hospital. Drug data were collected from the study participants after obtaining written informed consent and analysed, including demographic details, personal history, disease history, and details of the drug, including the generic name of the drug, dose and duration of therapy, and prescription pattern. The proportions of drugs prescribed for different diseases were analysed. Also, the drugs were analysed as per their pharmacological profiles. Results and interpretation A total of 1298 drug prescriptions were analysed in this study. Of the total participants, 60.26% were male, 35% were unemployed, 53% were retired, and 27% were taking OTC herbal medications. Most of the patients included in this study were suffering from diabetes, hypertension, and other comorbidities. Telmisartan and telmisartan in combination with other drugs were the most commonly encountered prescription drugs, i.e., 24% among the cardiovascular drugs. Aspirin and statins alone or in combination were the most commonly encountered prescriptions, i.e., 27.88% of the drugs used for prophylaxis of cardiovascular diseases. Conclusion This study showed a prescription pattern for the elderly and highlighted precautions to be taken with some of the prescribed drugs. As polypharmacy is observed with elderly prescriptions, possible drug interactions must be taken into account. Regular prescription analysis of drugs prescribed to the elderly will help in the appropriate and rational use of drugs.

Indexed as

chronic disease prescription analysisdrugs and elderlygeriatricsprescription analysistherapeutics of elderly

Identifiers

PMID38389602
PMCPMC10882417
OpenAlexW4391141431

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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.