Evidence map›Paper›PMID 39141181›Full record

ArticleInternational journal of clinical pharmacy2024

A multicenter retrospective study of antidepressant use in outpatient clinics in China pre- and post-COVID.

Mengqiang Zhao, Luyao Chang, Jing Yu, Jianxin Wang, Yang Song, Shi Su, Chaoli Chen, Yang Lun, Fangfang Cheng, Yuanyuan Zhao and 1 more

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in International journal of clinical pharmacy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

2 citing papers in PubMed.

  1. Article
  2. Article
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

11 authors.

Mengqiang ZhaoDepartment of Clinical Pharmacy, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
Luyao ChangDepartment of Clinical Pharmacy, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
Jing YuDepartment of Clinical Pharmacy, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
Jianxin WangDepartment of Clinical Pharmacy, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
Yang SongDepartment of Clinical Pharmacy, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
Shi SuDepartment of Clinical Pharmacy, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
Chaoli ChenDepartment of Clinical Pharmacy, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
Yang LunDepartment of Clinical Pharmacy, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
Fangfang ChengDepartment of Clinical Pharmacy, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
Yuanyuan ZhaoDepartment of Clinical Pharmacy, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
Chunhua ZhouDepartment of Clinical Pharmacy, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China. zhouchunhua@hebmu.edu.cn.ORCID http://orcid.org/0000-0003-1543-9000

Funding

Shijiazhuang key research and development plan project of the university in Hebei Province 241200043A
6 · The paper itself

Abstract

backgroundAnalyzing antidepressant prescribing in real-world settings can provide clinicians and health policymakers valuable information.

aimThis epidemiological study examined the status and trends in antidepressant prescribing among the Chinese population from July 1, 2017, to June 30, 2022.

methodA retrospective study was conducted in three hospitals. Data were collected 2.5 years before and 2.5 years after the onset of the COVID-19 pandemic. We analyzed the number of patients diagnosed with depression and their corresponding antidepressant prescriptions. Using the chi-square test, stratified analyses were performed to explore the characteristics of these prescriptions in different ages and sexes.

resultsThe study included 124,355 patients and 400,840 antidepressant prescriptions. We observed fluctuating upward trends in the number of patients and antidepressant prescriptions. Post-COVID-19, the number of patients increased by 37.1% compared to the pre-pandemic period, and the number of antidepressant prescriptions rose by 88.3%. The three most frequently prescribed antidepressants for adolescents were sertraline, citalopram, and escitalopram. Among adults, citalopram, escitalopram, and sertraline were most common, while in older adults, citalopram, escitalopram, and mirtazapine were predominant. Male patients used mirtazapine, venlafaxine, paroxetine, bupropion, fluvoxamine, vortioxetine, and clomipramine more frequently compared to female patients, who were more likely to be prescribed citalopram, flupentixol/melitracen, agomelatine, and fluoxetine. Antidepressant monotherapy represented 76.6% of prescriptions, with the most common combination being antidepressants and anxiolytics.

conclusionOver the past 5 years, both the number of patients and antidepressant prescriptions have shown upward trends, and the COVID-19 pandemic has impacted prescribing. Understanding the changes in antidepressant prescriptions can identify adherence to national guidelines.

Indexed as

Antidepressive AgentsCOVID-19AdolescentAdultAgedAmbulatory Care FacilitiesChildChinaDepressionDrug PrescriptionsFemaleHumansMaleMiddle AgedPractice Patterns, Physicians'Retrospective StudiesAntidepressive AgentsAntidepressantCOVID-19Prescribing trendPrescription

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.