Evidence map›Paper›PMID 32909246›Full record

ArticleAging clinical and experimental research2021

Common combinations of medications used among oldest-old women: a population-based study over 15 years.

Kaeshaelya Thiruchelvam, Julie Byles, Syed Shahzad Hasan, Nicholas Egan, Dominic Cavenagh, Therese Kairuz

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In one paragraph

Article in Aging clinical and experimental research, 2021. 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
0.2field-weighted citation impact, top 45% 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. Review
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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

6 authors at 3 institutions in 3 countries.

Kaeshaelya ThiruchelvamUniversity of Newcastle, University Drive, Callaghan, NSW, 2308, Australia. kaeshaelyathiruchelvam@uon.edu.au.ORCID http://orcid.org/0000-0002-3754-1690
Julie BylesUniversity of Newcastle, University Drive, Callaghan, NSW, 2308, Australia.ORCID http://orcid.org/0000-0002-3984-6877
Syed Shahzad HasanUniversity of Newcastle, University Drive, Callaghan, NSW, 2308, Australia.ORCID http://orcid.org/0000-0002-4058-2215
Nicholas EganUniversity of Newcastle, University Drive, Callaghan, NSW, 2308, Australia.ORCID http://orcid.org/0000-0002-0854-7444
Dominic CavenaghUniversity of Newcastle, University Drive, Callaghan, NSW, 2308, Australia.ORCID http://orcid.org/0000-0002-9241-5056
Therese KairuzUniversity of Newcastle, University Drive, Callaghan, NSW, 2308, Australia.ORCID http://orcid.org/0000-0002-3311-187X
Hunter Medical Research Institute · AUIMU University · MYUniversity of Huddersfield · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOlder people use many medications, but combinations of medications used among the oldest old (≥ 80 years) are not commonly reported.

aimsThis study aimed to determine common combinations of medications used among women aged 77-96 years and to describe characteristics associated with these combinations.

methodsA cohort study of older women enroled in the Australian Longitudinal Study on Women's Health over a 15-year period was used to determine combinations of medications using latent class analysis. Multinomial logistic regression was used to determine characteristics associated with these combinations.

resultsThe highest medication users during the study were for the cardiovascular (2003: 80.28%; 2017: 85.63%) and nervous (2003: 66.03%; 2017: 75.41%) systems. A 3-class latent model described medication use combinations: class 1: 'Cardiovascular & neurology anatomical group' (27.25%) included participants using medications of the cardiovascular and nervous systems in their later years; class 2: 'Multiple anatomical group' (16.49%) and class 3: 'Antiinfectives & multiple anatomical group' (56.27%). When compared to the reference class (class 1), the risk of participants being in class 3 was slightly higher than being in class 2 if they had > 4 general practitioner visits (RRR 2.37; 95% CI 2.08, 2.71), Department of Veterans Affairs' coverage (RRR 1.59; 95% CI 1.36, 1.86), ≥ 4 chronic diseases (RRR 3.16; 95% CI 2.56, 3.90) and were frail (RRR 1.47; 95% CI 1.27, 1.69).

conclusionIdentification of combinations of medication use may provide opportunities to develop multimorbidity guidelines and target medication reviews, and may help reduce medication load for older individuals.

Indexed as

MultimorbidityAgedAged, 80 and overAustraliaChronic DiseaseCohort StudiesFemaleHumansLongitudinal StudiesAgeingMedication combinationsMedication patternMedication useOlder people

Identifiers

PMID32909246
OpenAlexW3086477802

What OpenQuestion holds

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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.