Evidence map›Paper›PMID 31092665›Full record

ArticleBMJ open2019

Multinational comparison of new antidepressant use in older adults: a cohort study.

Robyn Tamblyn, David Westfall Bates, David L Buckeridge, Will Dixon, Alan J Forster, Nadyne Girard, Jennifer Haas, Bettina Habib, Siyana Kurteva, Jack Li and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 3 pooled it
4.3field-weighted citation impact, top 6% 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

27 citing papers in PubMed, 3 syntheses or guidelines pooled it, 74 citations in OpenAlex.

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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

11 authors at 6 institutions in 4 countries.

Robyn TamblynDepartment of Medicine and Department of Epidemiology and Biostatistics, McGill University, Montreal, Quebec, Canada.
David Westfall BatesMedicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.
David L BuckeridgeEpidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Quebec, Canada.
Will DixonArthritis Research UK Centre for Epidemiology, University of Manchester, Manchester, UK.
Alan J ForsterInternal Medicine, The Ottawa Hospital, Ottawa, Ontario, Canada.
Nadyne GirardClinical and Health Informatics Research Group, McGill University, Montreal, Quebec, Canada.
Jennifer HaasDepartment of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Bettina HabibClinical and Health Informatics Research Group, McGill University, Montreal, Quebec, Canada.
Siyana KurtevaEpidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Quebec, Canada.
Jack LiGraduate Institute of Biomedical Informatics, Taipei Medical University, Taipei, Taiwan.
Therese SheppardDepartment of Medicine, University of Manchester, Manchester, UK.
McGill University · CABrigham and Women's Hospital · USUniversity of Manchester · GBOttawa Hospital · CASante Montreal · CATaipei Medical University · TW

Funding

CIHR MOP-111166Medical Research Council MC_PC_13042Medical Research Council MR/K006665/1
6 · The paper itself

Abstract

objectivesWe used an international pharmacosurveillance network to estimate the rate and characteristics of antidepressant use in older adults in countries with more conservative (UK) and liberal depression guidelines (Canada, USA).

settingElectronic health records and population-based administrative data from six jurisdictions in four countries (UK, Taiwan, USA and Canada).

participantsA historical cohort of older adults (≥65 years) who had a new episode of antidepressant use between 2009 and 2014. OUTCOME MEASURES: The age and sex-standardised cumulative incidence of new episodes of antidepressant use in older adults was measured. Descriptive statistics were used to compare the proportion of new users by the antidepressant prescribed, therapeutic class, potential treatment indication and country, as well as the characteristics of the first treatment episode (standardised daily doses, duration and changes).

resultsThe incidence of antidepressant use between 2009 and 2014 varied from 4.7% (Montreal and Quebec City) to 18.6% (Taiwan). Tricyclic antidepressants (TCAs) were the most commonly used class in the UK (48.8%) and Taiwan (52.4%) compared with selective serotonin reuptake inhibitors (SSRIs) in North American jurisdictions (42.3%-53.3%). Chronic pain was the most common potential treatment indication (41.2%-68.2%). Among users with chronic pain, TCAs were used most frequently in the UK and Taiwan (55.2%-60.4%), whereas SSRIs were used most frequently in North America (33.5%-46.4%). Treatment was longer (252-525 vs 169-437 days), standardised doses were higher (0.7-1.3 vs 0.5-1.0) and treatment was more likely to be changed (31%-46% vs 21%-34%) among patients with depression (9.1%-43%) than those with chronic pain.

conclusionAntidepressant use in older adults varied 24-fold by country, with the UK, which has the most conservative treatment guidelines, being among the lowest. Chronic pain was the most common potential treatment indication. Evaluation of real-world risks of TCAs is a priority for future research, given high rates of use and the potential for increased toxicity in older adults because of potent anticholinergic effects.

Indexed as

Cross-Cultural ComparisonAgedAntidepressive AgentsCanadaCohort StudiesDepressionFemaleGuideline AdherenceHumansMalePractice Guidelines as TopicPractice Patterns, Physicians'TaiwanUnited KingdomUnited StatesAntidepressive Agentsantidepressantsepidemiologymultinational comparisonolder adultspharmacosurveillance

Identifiers

PMID31092665
PMCPMC6530307
OpenAlexW2946715802

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.