Evidence map›Paper›PMID 24425146›Full record

ArticleEuropean journal of clinical pharmacology2014

Changes in the prescribing pattern of antidepressant drugs in elderly patients: an Italian, nationwide, population-based study.

Janet Sultana, Domenico Italiano, Edoardo Spina, Claudio Cricelli, Francesco Lapi, Serena Pecchioli, Giovanni Gambassi, Gianluca Trifirò

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Article in European journal of clinical pharmacology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
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20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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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.

2 · The registry

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3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
  4. Article
  5. Factors Associated with Antidepressant Medication Non-adherenceTurkish journal of pharmaceutical sciences · 2021
    Article
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  18. 'Big data' in mental health research: current status and emerging possibilities.Social psychiatry and psychiatric epidemiology · 2016
    Review
  19. Observational
  20. Article
4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Janet SultanaDepartment of Clinical and Experimental Medicine, Pharmacology Section, University of Messina, Via Consolare Valeria, 98125, Messina, Italy.
Domenico Italiano
Edoardo Spina
Claudio Cricelli
Francesco Lapi
Serena Pecchioli
Giovanni Gambassi
Gianluca Trifirò

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite the high use of antidepressants (ADs) among the elderly, there is limited information about the prescribing pattern of these drugs in the Italian elderly population. The aim of this study was to analyze the trend in the use of ADs in the Italian elderly patients in the years 2003-2009, and specifically, to evaluate rates and predictors of AD treatment discontinuation in depressed older patients.

methodsThe nationwide general practice Health Search Database (HSD) was used to identify AD users aged 65 years old and over from 2003 to 2009. ADs were categorized as (1) selective serotonin reuptake inhibitors (SSRIs); (2) serotonin-norepinephrine reuptake inhibitors (SNRIs); (3) tricyclic antidepressants (TCAs); (4) noradrenergic and specific serotonergic antidepressants (NaSSAs); and (5) other ADs. Incidence and prevalence of AD use per 1,000 inhabitants was calculated by drug class and single compound. We also measured rates and predictors of AD discontinuation (i.e., treatment gap ≥ 60 days) during the first year of therapy.

resultsOverall, 39,557 AD users ≥65 years (17 % of the total HSD elderly population) were included in the study. SSRIs were increasingly and most frequently prescribed ADs (102.7-195.3 per 1,000 over seven years). The most common indications for AD use were depression and anxiety. Overall, 14 % of AD users continued their AD medication without treatment gaps, 27 % were intermittent AD users and 58 % discontinued their ADs during the first year of follow-up. Specific AD classes such as TCAs and 'other ADs were found to be predictors of discontinuation. In depressed patients, the use of NaSSas, TCAs and 'other ADs as well the concomitant use of >5 drugs (other than ADs) and living in Southern Italy were more likely to predict discontinuation.

conclusionADs, especially SSRIs, are widely and increasingly prescribed in elderly Italian patients in recent years. The observed high AD discontinuation rates are likely to impact the achievement of a therapeutic endpoint in depressed patients. Patients who are at high risk of AD discontinuation such as those receiving multi-drug therapy or living in Southern Italy should be monitored more closely to improve benefits of AD treatments.

Indexed as

Practice Patterns, Physicians'AgedAntidepressive AgentsAnxiety DisordersDepressionFemaleHumansItalyMaleAntidepressive Agents

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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.