Evidence map›Paper›PMID 33489831›Full record

ArticlePerspectives in clinical research

Comparison of the extent and prevalence of prescription of potentially inappropriate medications prescribed to geriatric age group residing in old-age homes versus those receiving care from tertiary care hospital using Beers criteria.

Aakash Rajendra Sheth, Ruchir B Dave, Devang Rana, Diti Sheth

Open access · diamondAbstract read
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Article in Perspectives in clinical research. 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
0.5field-weighted citation impact, top 37% 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, 4 citations in OpenAlex.

  1. Genophenotypic Factors and Pharmacogenomics in Adverse Drug Reactions.International journal of molecular sciences · 2021
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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

4 authors at 1 institution in 1 country.

Aakash Rajendra ShethDepartment of Internal Medicine, Smt. NHL Municipal Medical College, Ahmedabad, Gujarat, India.
Ruchir B DaveDepartment of Internal Medicine, Sheth VS General Hospital, Ahmedabad, Gujarat, India.
Devang RanaDepartment of Pharmacology, Smt. NHL Municipal Medical College, Ahmedabad, Gujarat, India.
Diti ShethDepartment of Internal Medicine, Smt. NHL Municipal Medical College, Ahmedabad, Gujarat, India.
Smt. N.H.L. Municipal Medical College · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextCertain medications have higher chances of causing adverse effects in geriatric age group. Evidence is against prescribing these medications to the elderly. A list of such medications is called Beers criteria, which was revised by the American Geriatrics Society in 2015.

aimsUsing the Beer's list as reference, the researchers intend to find the extent and prevalence of potentially inappropriate medication (PIM) in geriatric population residing in different settings. SETTINGS AND

designThe researchers analyzed prescription pattern of 200 individuals with age ≥65 years, 100 individuals from old-age homes (OAHs) and 100 individuals from a tertiary care hospital. After collecting data, the researchers tallied each prescription with list of drugs in Beers criteria to find all the possible PIMs in both the groups.

resultsIt was found that the average age of residents of OAHs was significantly higher (

conclusionAll the results point toward a poor prescription pattern in the residents of OAHs compared to those receiving care from a tertiary care hospital.

Indexed as

Beers criteriaelderlygeriatricold-age homespotentially inappropriate medicationtertiary care hospital

Identifiers

PMID33489831
PMCPMC7819371
OpenAlexW3095030620

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.