Evidence map›Paper›PMID 40204785›Full record

ArticleScientific reports2025

Trend analysis of antidepressant consumption in Italy from 2008 to 2022 in a public health perspective.

Maitane Oscoz-Irurozqui, Leonardo Villani, Silvia Martinelli, Walter Ricciardi, Maria Rosaria Gualano

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

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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

4 citing papers in PubMed.

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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

5 authors.

Maitane Oscoz-IrurozquiRed de Salud Mental de Gipuzkoa, Osakidetza-Basque Health Service, Gipuzkoa, Spain.
Leonardo VillaniSection of Hygiene, University Department of Life Sciences and Public Health, Università Cattolica del Sacro Cuore, Largo Francesco Vito 1, Rome, 00168, Italy. leonardo.villani@unicatt.it.
Silvia MartinelliSection of Hygiene, University Department of Life Sciences and Public Health, Università Cattolica del Sacro Cuore, Largo Francesco Vito 1, Rome, 00168, Italy.
Walter RicciardiSection of Hygiene, University Department of Life Sciences and Public Health, Università Cattolica del Sacro Cuore, Largo Francesco Vito 1, Rome, 00168, Italy.
Maria Rosaria GualanoUniCamillus-Saint Camillus International University of Health and Medical Sciences, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Depression is an important public health issue. Over the years, the consumption of antidepressants has increased in the population, which on one hand may mean increased diagnostic accuracy, but on the other could mean a problem of inappropriate consumption and prescribing. The aim of the study is to analyze trends in antidepressant consumption and major drug classes in Italy in the last 15 years to provide useful public health insights for policymakers. Data were collected from Osservasalute and OsMed reports from 2008 to 2022. We included the overall consumption of antidepressants and the three subclasses of the most widely used antidepressant drugs: selective serotonin reuptake inhibitors (SSRIs), serotonin and norepinephrine reuptake inhibitors (SNRIs), and tricyclic antidepressants (TCAs). Data were expressed as the daily defined dose (DDD) per 1,000 inhabitants. A joinpoint analysis was conducted for each data point in order to describe the trend and identify the Annual Percentage Change (APC) and the Average Annual Percent Change (AAPC). In Italy, there was an increase in antidepressant consumption of 36.7% over the period. Overall, Joinpoint analysis shows a significant AAPC of + 2.31%. Analyzing the subclasses also showed a significant increase in the consumption of SSRIs (AAPC = 1.46%) and SNRIs (AAPC = + 2.14%). In contrast, there was a significant decrease in the consumption of TCAs (AAPC = - 1.46%). The trend of antidepressant use has been increasing steadily over the considered period. Public Health plays a key role in proposing solutions to improve the mental health of the population. Targeted interventions must be carried out to raise awareness among policy makers, clinicians and the population.

Indexed as

Antidepressive AgentsDepressionDrug UtilizationPublic HealthAntidepressive Agents, TricyclicHumansItalyPattern Analysis, MachineSelective Serotonin Reuptake InhibitorsSerotonin and Noradrenaline Reuptake InhibitorsAntidepressive AgentsAntidepressive Agents, TricyclicSelective Serotonin Reuptake InhibitorsSerotonin and Noradrenaline Reuptake InhibitorsAntidepressantsJoinpoint regressionMental healthPublic healthTrend analysis

Identifiers

PMID40204785
PMCPMC11982533

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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.