Evidence map›Paper›PMID 41663369›Full record

ReviewTranslational psychiatry2026

Clinical and biological markers of electroconvulsive therapy effectiveness: a narrative review.

David Zilles-Wegner, Iven-Alex von Mücke-Heim, Antoine Yrondi, Akihiro Takamiya

Abstract readReview
In one paragraph

Review in Translational psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Effect of ECT-anesthetics on reorientation time.European archives of psychiatry and clinical neuroscience · 2026
    Article
  2. Review
  3. 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

4 authors.

David Zilles-WegnerDepartment of Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany. david.zilles-wegner@med.uni-goettingen.de.ORCID http://orcid.org/0000-0002-7531-9732
Iven-Alex von Mücke-HeimMax Planck Institute of Psychiatry, Research Clinic, Neurostimulation Unit, Munich, Germany.ORCID http://orcid.org/0000-0002-5021-9495
Antoine YrondiDepartment of Psychiatry and Medical Psychology, Expert Center for Treatment-Resistant Depression and Bipolar Disorder FondaMental Foundation, Toulouse University Hospital (CHU de Toulouse), Purpan Hospital, Toulouse NeuroImaging Center (ToNIC), University of Toulouse, Inserm U1214, UPS, Toulouse, France - FondaMental Foundation, Créteil, France.ORCID http://orcid.org/0000-0002-2650-6080
Akihiro TakamiyaNash Family Center for Advanced Circuit Therapeutics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID http://orcid.org/0000-0003-2985-6673

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electroconvulsive therapy (ECT) is the most effective treatment for several particularly severe or pharmacotherapy-resistant psychiatric disorders, and a growing number of studies have investigated factors influencing the effectiveness of ECT. The objective of this article is to review the current evidence on clinical and biological markers potentially related to response to ECT and to outline perspectives for future research. In depressive disorders, the presence of clinical characteristics such as higher age, psychotic and psychomotor symptoms, and the absence of comorbid personality disorders are associated with a particularly good response to ECT. However, these clinical factors alone explain only a part of the variance of treatment outcome. Biomarkers at the genetic/epigenetic, immune inflammatory, and brain imaging levels are now providing promising and, in part, converging findings on both the mechanism of action and predictors of response to ECT. Taken together, these findings suggest a close relationship between specific clinical symptoms, the immune inflammatory, and neuroplastic mechanisms of ECT. While genetic studies consistently indicate a higher genetic risk load in patients referred for ECT, findings regarding the predictive value of polygenic risk scores and also epigenetic markers for ECT response remain inconsistent. In the future, combining clinical features and biomarkers could help define subgroups of psychiatric disorders with distinct pathophysiology and reliably predict treatment outcomes at the individual patient level. For now, it may be assumed that different and possibly age-dependent prototypical forms of depressive disorders exist, which are characterized by specific clinical (psychotic and psychomotor symptoms) and inflammatory markers (higher levels of IL-6 and CRP) and show a differential response to treatment modalities.

Indexed as

Electroconvulsive TherapyBiomarkersHumansTreatment OutcomeBiomarkers

Identifiers

PMID41663369
PMCPMC12923747

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.