Evidence map›Paper›PMID 34113198›Full record

ArticleRisk management and healthcare policy2021

Trends and Contributing Factors for Prescribing Antipsychotics in Newly Diagnosed Parkinson's Disease Patients: A Population-Based Study.

Khalid Orayj

Open access · goldAbstract read
In one paragraph

Article in Risk management and healthcare policy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 39% 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

5 citing papers in PubMed, 4 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

1 author at 1 institution in 1 country.

Khalid OrayjClinical Pharmacy Department, School of Pharmacy, King Khalid University, Abha, Saudi Arabia.ORCID 0000-0001-6651-2306
King Khalid University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePsychosis is very common in later stages of Parkinson's disease (PD) patients, but its prevalence in newly diagnosed patients is not rare. The use of antipsychotics in PD patients is complex given their association with worsening Parkinsonian motor symptoms and increased mortality rate. This study aims to examine factors that affect the use of antipsychotics in newly diagnosed PD patients and to identify changes in prescribing over time. PATIENTS AND

methodsThe Secure Anonymized Information Linkage (SAIL) databank was used to identify a cohort of newly diagnosed PD patients aged 40 years and older in Wales. The cohort was longitudinally examined over 17 years to determine the incidence of new antipsychotic use. Logistic regression models were used to analyze the data and were adjusted for several potential confounding variables.

resultsA total of 9142 PD patients were identified after applying inclusion and exclusion criteria, of whom 58.6% were male. During the first year of PD diagnosis, 12% of the patients developed psychosis and were prescribed antipsychotics. Quetiapine was the most commonly prescribed (49%), followed by risperidone (10.7%). The use of antipsychotics in newly diagnosed PD patients was significantly lower in the years 2009-2016 compared to 2000-2008 (OR 0.37, 95% CI 0.32-0.43). Other significant prescribing factors included patient's age and history of dementia.

conclusionA dramatic decline in antipsychotic use was identified across years, showing adherence to warnings against use of antipsychotics for PD patients. Given that psychosis is prevalent in PD patients, the continuous assessment of the safety risks of antipsychotics is a matter of priority.

Indexed as

mortality riskParkinson’s diseasepattern of prescribingpsychosis

Identifiers

PMID34113198
PMCPMC8187095
OpenAlexW3171030874

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.