Little information, great impact? A clinical tool for the prediction of electroconvulsive therapy effectiveness in depression

Our prospective study shows that an instrument consisting of seven clinical items is able to predict ECT response in depression with good accuracy. Limitations include a relatively small sample size and the lack of further potential predictors suggested by recent studies. GREAT will thus be modified to further improve its accuracy. Currently, it may give clinicians a relevant estimate of the likelihood and the extent of the individual response to ECT.

Authors

Institutions

Publication Details

Journal
BJPsych Open
Published
2026-02-16
DOI
https://doi.org/10.1192/bjo.2026.10977
Primary Topic
Electroconvulsive Therapy Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Little information, great impact? A clinical tool for the prediction of electroconvulsive therapy effectiveness in depression

Michael Belz, Matthias Besse, Wolfgang Strube, Isabel Methfessel et al.
BJPsych Open
Electroconvulsive Therapy Studies
article

Little information, great impact? A clinical tool for the prediction of electroconvulsive therapy effectiveness in depression

Michael Belz, Matthias Besse, Wolfgang Strube, Isabel Methfessel, Joshua Tritsch, A. Hasan, D. Zilles-Wegner, Melvin Heinisch
article en

Abstract

Our prospective study shows that an instrument consisting of seven clinical items is able to predict ECT response in depression with good accuracy. Limitations include a relatively small sample size and the lack of further potential predictors suggested by recent studies. GREAT will thus be modified to further improve its accuracy. Currently, it may give clinicians a relevant estimate of the likelihood and the extent of the individual response to ECT.

BJPsych OpenVol. 12(2)
University of Augsburg (DE), German Center for Infection Research (DE), Universitätsmedizin Göttingen (DE), German Centre for Cardiovascular Research (DE)
Openalex Percentile: Top 57%
Electroconvulsive Therapy Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.