Evidence map›Paper›PMID 37128538›Full record

ReviewCureus2023

Limiting Factors in Implementing Pharmacovigilance Principles in the Elderly.

Heer Shah, Jasleen Nagi, Shivank Khare, Hana Hassan, Anthony Siu

Open access · diamondAbstract readReview
In one paragraph

Review in Cureus, 2023. 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
0.9field-weighted citation impact, top 32% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Innovations in pharmacovigilance studies of medicines in older people.British journal of clinical pharmacology · 2025
    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

5 authors at 1 institution in 1 country.

Heer ShahGeneral Surgery, Southend University Hospital, Essex, GBR.
Jasleen NagiInternal Medicine, Imperial College London School of Public Health, London, GBR.
Shivank KhareInternal Medicine, Imperial College London School of Public Health, London, GBR.
Hana HassanInternal Medicine, University of Bristol School of Medicine, Bristol, GBR.
Anthony SiuInternal Medicine, GKT School of Medical Education, London, GBR.
General Medical Council · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The overarching aim of pharmacovigilance is to ensure the safe and effective usage of medication across the population and optimise medicines through holistic considerations. However, within the heterogeneous elderly population, several unique factors are at play, limiting the ability of clinicians to fulfil this aim. A matured physiology influencing the response and effects of drugs, increased polypharmacy enabling drug-drug interactions, and greater consumption of concurrent herbal medicines predispose patients to harmful drug events. This increasingly multimorbid subpopulation requires complex pharmaceutical regimens encouraging inappropriate prescribing and medicine non-adherence leading to suboptimal therapy. Furthermore, restrictive practices in clinical trials commonly exclude elderly patients creating disparities from expected findings within a real-world setting. These issues create an environment where elderly patients are at a heightened risk of adverse drug events and clinicians are forced to make significant decisions from limited information. With projections showing that this demographic will continue growing in size, the true burden of these limiting factors is yet to be realised.

Indexed as

adverse drug eventsdrug-drug interactionsgeriatricspharmacovigilancepolypharmacy

Identifiers

PMID37128538
PMCPMC10148568
OpenAlexW4361279465

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.