SynthesisNeuropsychopharmacology reports2022
Antidepressants for social anxiety disorder: A systematic review and meta-analysis.
Synthesis in Neuropsychopharmacology reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.
- Antidepressants for social anxiety disorder: A systematic review and meta-analysis.Neuropsychopharmacology reports · 2022Pooled it
- Latent Classes of Nonmedical Prescription Tranquilizer Use Motives in US Adolescents and Young Adults.Substance use & addiction journal · 2026Article
- Benzodiazepine Dependence: Clinical and Molecular Aspects, Preventive Strategies and Therapeutic Approaches.International journal of molecular sciences · 2026Review
- The Efficacy of Fluvoxamine in Anxiety Disorders and Obsessive-Compulsive Disorder: An Overview of Systematic Reviews and Meta-Analyses.Pharmaceuticals (Basel, Switzerland) · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 7 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimThis systematic review is aimed to update and reintegrate the pharmacotherapy of social anxiety disorder (SAD), including the Japanese medical database.
methodsWe conducted a systematic review and meta-analysis of pharmacotherapy of SAD according to the Medical Information Distribution Service. We used data from a most recent systematic review, and updated search were conducted using MEDLINE, PubMed, CENTRAL, ICTRP, and ICHUSHI from August 1st, 2017 to January 31st, 2022. The outcome were response rates assessed by Clinical Global Impressions Improvement, efficacy assessed by the Liebowitz Social Anxiety Scale (LSAS), and dropout rates. We performed a random effect of meta-analysis to obtain the differences in each outcome between active medication and placebo. We used RevMan version 5.3 for analyses.
resultsWe identified 5 studies through update search and performed meta-analysis for 33 studies on selective serotonin reuptake inhibitor (SSRI) and 6 studies on serotonin noradrenalin reuptake inhibitor (SNRI). The response rate (RR = 1.62) and the LSAS score reduction (mean difference = -9.65) of SSRI, and the response rate (RR = 1.57) and the LSAS score reduction (mean difference = -11.72) of SNRI were significantly different from placebo. The dropout rates of SSRI or SNRI were not significant. The response rates of SSRIs in both Japanese studies (RR = 1.44) and countries other than Japan (RR = 1.67) were significant. Most findings were based on low quality of evidence.
conclusionSSRIs are valid option for pharmacotherapy of SAD including Japanese patients. SNRIs are another effective option. However, the results should be interpreted cautiously due to several risk of bias.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.