Evidence map›Paper›PMID 32909220›Full record

ArticleInternational journal of clinical pharmacy2021

Discontinuation of antipsychotics treatment for elderly patients within a specialized behavioural unit: a retrospective review.

Raymond LinBin Gao, Kate Sungeun Lim, Atul Sunny Luthra

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Article in International journal of clinical pharmacy, 2021. 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
0.3field-weighted citation impact, top 41% 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, 3 citations in OpenAlex.

  1. Article
4 · The record

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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

3 authors at 3 institutions in 1 country.

Raymond LinBin GaoDepartment of Pharmacy, St. Peter's Hospital, Hamilton Health Sciences, Hamilton, ON, Canada. gaolin@hhsc.ca.ORCID http://orcid.org/0000-0001-7756-1584
Kate Sungeun LimSchool of Pharmacy, University of Waterloo, Waterloo, ON, Canada.
Atul Sunny LuthraDepartment of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada.
Research Institute for Aging · CASt. Peter's Hospital · CAUniversity of Waterloo · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Best practice guidelines recommend regular evaluation of antipsychotics in managing behaviours for dementia patients with a view to de-prescribing, given its significant mortality and adverse outcomes (Reus et al. in Am J Psychiatry 173(5):543-546, 2016, Deprescribing Guidelines and Algorithms in https://deprescribing.org/resources/deprescribing-guidelines-algorithms/ , 2019). The relationship between the dose of antipsychotic and the probability of discontinuation remains unknown in hospitalized dementia patients. Objectives This study aims to examine the relationship between high dose antipsychotic (greater than 62 mg chlorpromazine equivalent daily dose) and antipsychotics discontinuation in hospitalized dementia patients. Setting Specialized Dementia Behavioral Health Program in Hamilton, Ontario, Canada. Method A retrospective chart review was completed from August to December of 2019. A univariate logistic regression model was applied to antipsychotic doss (in chlorpromazine equivalent) and antipsychotic discontinuation outcome at 60 days (Narayan and Nishtala in Eur J Clin Pharmacol 73(12):1665-1672, 2017). A multivariant model was used to assess potential confounders, including other psychiatric medication exposure and Medicines Comorbidity Index (Luthra in J Gerontol Geriatr Res 4(260):2, 2015). Regression and dose-response models were utilized to identify the threshold dose (maximum daily dose). Main outcome measures Antipsychotic discontinuation at 60 days after the last dose. Results A total of 42 patients were eligible for outcome analysis. High dose antipsychotic was associated with worse discontinuation outcomes in both unadjusted (odds ratio, 0.09; 95% confidence interval, 0.02-0.37; p < 0.01) and adjusted generalized estimation equation models (odds ratio 0.65; 95% confidence interval, 0.59-0.72; p = 0.01). There were no statistically significant associations between baseline comorbidities (Medicines Comorbidity Index) (p = 0.68), mood stabilizer (p = 0.14), benzodiazepines (p = 0.93) and antidepressant exposure (p = 0.68) with antipsychotic discontinuation. The logistic regression model identified 40.7 mg of quetiapine, 1.7 mg of olanzapine and 0.51 mg of risperidone as the threshold dose, balancing sensitivity and specificity. The dose-response model also identified similar doses of 42 mg of quetiapine, 1.76 mg of olanzapine and 0.53 mg of risperidone. Conclusion The use of high dose antipsychotics is associated with worse discontinuation outcomes in hospitalized dementia patients. Therefore, our results suggest not exceeding a daily dose of 50 mg of quetiapine, 1.75 mg of olanzapine and 0.5 mg of risperidone when used for responsive behaviours and reassess the benefits and risks for each patient regularly.

Indexed as

Antipsychotic AgentsAgedBenzodiazepinesHumansOntarioQuetiapine FumarateRetrospective StudiesRisperidoneAntipsychotic AgentsBenzodiazepinesQuetiapine FumarateRisperidoneAntipsychoticAntipsychotic discontinuationCanadaDementiaElderly

Identifiers

PMID32909220
OpenAlexW3086236184

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.