ReviewCureus2023
Effectiveness of Electroconvulsive Therapy for Preventing Relapse and Recurrence of Depression in Adults With Major Depressive Disorder: An Updated Meta-Analysis of Randomized Clinical Trials.
Review in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.
- Continuation electroconvulsive therapy combined with pharmacotherapy for depression relapse prevention: A systematic review and meta-analysis.Psychological medicine · 2025Pooled it
- Cost-effectiveness of esketamine versus alternative treatment strategies for treatment-resistant depression in Hong Kong: A multi-armed modeling study.PLoS medicine · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 5 institutions in 5 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The present meta-analysis aimed to assess the impact of electroconvulsive therapy (ECT) in preventing the relapse and recurrence of depression in adults with major depressive disorders. The study was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Two authors conducted a systematic search of online databases, such as PubMed, PsycINFO, and EMBASE, using keywords, such as "electroconvulsive therapy," "depressive disorders," and "recurrence." The primary outcome measure was the incidence of relapse and recurrence in adults with major depressive disorder who received ECT alone or in combination with an antidepressant medication compared to those who received antidepressant medication alone. The secondary outcome measure was the change in the Mini-Mental State Examination score from baseline to the end of the trial in both groups. A total of six articles were included in the meta-analysis. The pooled rate of recurrence in the ECT group was 28.4% compared to 30.6% in the antidepressant group, with no significant difference between the two groups (risk ratio (RR) = 0.84, 95% confidence interval (CI) = 0.65-1.10, p = 0.21). However, subgroup analysis showed that the risk of recurrence was significantly lower in patients receiving ECT with antidepressant therapy compared to the antidepressant group alone (RR = 0.65, 95% CI = 0.45-0.93, p = 0.02). On the other hand, when ECT was given alone, the risk was higher in the ECT group compared to the antidepressant group; however, the difference was not statistically significant (RR = 1.17, 95% CI = 0.79-1.75). In conclusion, the results of this meta-analysis suggest that ECT alone or in combination with an antidepressant medication does not significantly impact the incidence of recurrence in adults with major depressive disorder when compared to antidepressant medication alone.
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.