Evidence map›Paper›PMID 36862371›Full record

ArticleDrugs & aging2023

Optimising Medications in Older Vascular Surgery Patients Through Geriatric Co-management.

Jeff Wang, Sophie James, Sarah N Hilmer, Sarah J Aitken, Garry Soo, Vasi Naganathan, Leanne Kearney, Janani Thillainadesan

Abstract read
In one paragraph

Article in Drugs & aging, 2023. 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
–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

3 citing papers in PubMed.

  1. Geriatric Models of Surgical Care: A Scoping Review.Journal of advanced nursing · 2026
    Article
  2. Article
  3. Observational
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.

Jeff WangCentre for Education and Research on Ageing, Concord Hospital, Concord, Sydney, NSW, Australia.
Sophie JamesCentre for Education and Research on Ageing, Concord Hospital, Concord, Sydney, NSW, Australia.
Sarah N HilmerFaculty of Medicine and Health, The University of Sydney, Concord, Sydney, NSW, Australia.
Sarah J AitkenFaculty of Medicine and Health, The University of Sydney, Concord, Sydney, NSW, Australia.
Garry SooDepartment of Pharmacy, Concord Hospital, Concord, Sydney, NSW, Australia.
Vasi NaganathanCentre for Education and Research on Ageing, Concord Hospital, Concord, Sydney, NSW, Australia.
Leanne KearneyCentre for Education and Research on Ageing, Concord Hospital, Concord, Sydney, NSW, Australia.
Janani ThillainadesanCentre for Education and Research on Ageing, Concord Hospital, Concord, Sydney, NSW, Australia. Janani.Thillainadesan@sydney.edu.au.ORCID http://orcid.org/0000-0002-5287-7483

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrescribing of potentially inappropriate medications and under-prescribing of guideline-recommended medications for cardiovascular risk modification have both been associated with negative outcomes in older adults. Hospitalisation represents an important opportunity to optimise medication use and may be achieved through geriatrician-led interventions.

objectiveWe aimed to evaluate whether implementation of a novel model of care called Geriatric Comanagement of older Vascular (GeriCO-V) surgery patients is associated with improvements in medication prescribing.

methodsWe used a prospective pre-post study design. The intervention was a geriatric co-management model, where a geriatrician delivered comprehensive geriatric assessment-based interventions including a routine medication review. We included consecutively admitted patients to the vascular surgery unit at a tertiary academic centre aged ≥ 65 years with an expected length of stay of ≥ 2 days and who were discharged from hospital. Outcomes of interest were the prevalence of at least one potentially inappropriate medication as defined by the Beers Criteria at admission and discharge, and rates of cessation of at least one potentially inappropriate medication present on admission. In the subgroup of patients with peripheral arterial disease, the prevalence of guideline-recommended medications on discharge was determined.

resultsThere were 137 patients in the pre-intervention group (median [interquartile range] age: 80.0 [74.0-85.0] years, 83 [60.6%] with peripheral arterial disease) and 132 patients in the post-intervention group (median [interquartile range] age: 79.0 (73.0-84.0) years, 75 [56.8%] with peripheral arterial disease). There was no change in the prevalence of potentially inappropriate medication use from admission to discharge in either group (pre-intervention: 74.5% on admission vs 75.2% on discharge; post-intervention: 72.0% vs 72.7%, p = 0.65). Forty-five percent of pre-intervention group patients had at least one potentially inappropriate medication present on admission ceased, compared with 36% of post-intervention group patients (p = 0.11). A higher number of patients with peripheral arterial disease in the post-intervention group were discharged on antiplatelet agent therapy (63 [84.0%] vs 53 [63.9%], p = 0.004) and lipid-lowering therapy (58 [77.3%] vs 55 [66.3%], p = 0.12).

conclusionsGeriatric co-management was associated with an improvement in guideline-recommended antiplatelet agent prescribing aimed at cardiovascular risk modification for older vascular surgery patients. The prevalence of potentially inappropriate medications was high in this population, and was not reduced with geriatric co-management.

Indexed as

Inappropriate PrescribingPeripheral Arterial DiseaseAgedAged, 80 and overHospitalizationHumansPlatelet Aggregation InhibitorsPotentially Inappropriate Medication ListProspective StudiesPlatelet Aggregation Inhibitors

Identifiers

PMID36862371
PMCPMC9979113

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.