Evidence map›Paper›PMID 39931584›Full record

ArticleCureus2025

Evaluating the Usefulness of Online Tools for Detecting Inappropriate Prescriptions in the Geriatric Population at a Tertiary Care Teaching Hospital in Central India: A Retrospective Study.

Yazhini Rajendran, Yogendra Keche, Nitin R Gaikwad, Suryaprakash Dhaneria

Abstract read
In one paragraph

Article in Cureus, 2025. 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

4 authors.

Yazhini RajendranPharmacology, All India Institute of Medical Sciences, Raipur, Raipur, IND.
Yogendra KechePharmacology, All India Institute of Medical Sciences, Raipur, Raipur, IND.
Nitin R GaikwadPharmacology, All India Institute of Medical Sciences, Raipur, Raipur, IND.
Suryaprakash DhaneriaPharmacology and Therapeutics, Ruxmaniben Deepchand Gardi Medical College, Ujjain, Ujjain, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The elderly population differs from adults because they have numerous comorbid conditions and pharmacokinetics and pharmacodynamics profiles. The study aimed to detect inappropriate prescriptions in elderly patients using online tools in a tertiary care teaching hospital in Central India. This study was carried out in elderly inpatients who were prescribed more than five drugs to determine the inappropriate medications. For this, online tools such as MedStopper, Deprescribing.org and Anticholinergic Burden Calculator were used. Out of 291 drugs prescribed, 28 (10%) were identified as inappropriate using these online tools. Proton pump inhibitors were the most common potentially inappropriate prescriptions (PIPs) (73%) detected using MedStopper and Deprescribing.org. There was a total of 15 drugs identified as having high anticholinergic risk by the Anticholinergic Burden software. Of which, furosemide, alprazolam and digoxin were identified exclusively by this online software with appropriate substantiating evidence. This study provides insight into how to remain cautious while prescribing drugs to elderly patients and stimulates physicians to utilize the available tools in routine practice. By adequate compilation of many such Indian studies on the elderly population, it will be possible to develop guidelines for prescribing in the elderly Indian population.

Indexed as

anticholinergic burdenelderlyonline toolspolypharmacypotentially inappropriate prescriptions

Identifiers

PMID39931584
PMCPMC11807913

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Registered trials

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