ArticleCurrent neuropharmacology2022
Antidepressant Prescription for Major Depressive Disorder: Results from a Population-Based Study in Italy.
Article in Current neuropharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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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.
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Who cites it
4 citing papers in PubMed, 5 citations in OpenAlex.
- Investigating the Use of Antidepressants in Treating Major Depressive Disorder:Saudi medical journal · 2026Article
- Insights into prescribing patterns for antidepressants: an evidence-based analysis.BMC medical informatics and decision making · 2025Article
- A multicenter retrospective study of antidepressant use in outpatient clinics in China pre- and post-COVID.International journal of clinical pharmacy · 2024Article
- Adherence to, and Persistence of, Antidepressant Therapy in Patients with Major Depressive Disorder: Results from a Population-based Study in Italy.Current neuropharmacology · 2023Article
Corrections and comments
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Authors and funding
8 authors at 6 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesThere is limited evidence about the factors influencing antidepressant (AD) prescription for the treatment of major depressive disorder (MDD) in Real World clinical practice in Italy. In this retrospective, population-based study, we set out to describe a patient cohort initiated on AD treatment for MDD and investigate the possible predictors of different AD prescriptions in the primary care setting.
methodsPatients with a diagnosis of MDD who received an initial prescription of one of 11 selected ADs between 1-Apr-2017 and 31-Mar-2019 (index date) were identified from primary care electronic medical records in the Longitudinal Patient Database. Patients prescribed ≥1 AD in the 12 months before the index date were excluded. Results were stratified by AD molecule. Multivariable logistic regression models estimated the association between patients' demographic, clinical factors, and choice of AD molecule.
resultsThe study cohort comprised 8,823 patients (67.1% female; mean age 61.6 years). Previous AD treatments (prescribed in the 10 years before the index date) had been received by 46.6% of patients (non-naïve patients). The most commonly reported psychiatric and medical comorbidities reported in the 12 months before the index date were anxiety (8.4%) and hypertension (41.9%), respectively. Patients' age was a significant predictor of AD molecule prescribed at index date in eight of the 11 molecules investigated, while patients' gender influenced clinician prescribing bupropion, citalopram, fluoxetine, fluvoxamine, sertraline, and vortioxetine.
conclusionResults from this Real World study provide useful information for clinicians on the clinical factors influencing AD prescription in patients treated for MDD in primary care.
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