Evidence map›Paper›PMID 34923356›Full record

ArticleJournal of psychiatric research2022

Distinct predictors of short- versus long-term depression outcomes following electroconvulsive therapy.

Brian J Mickey, Yarden Ginsburg, Erica Jensen, Daniel F Maixner

Open access · greenAbstract read
In one paragraph

Article in Journal of psychiatric research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 24% of its field
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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Unmasking patient diversity: Exploring cognitive and antidepressive effects of electroconvulsive therapy.European psychiatry : the journal of the Association of European Psychiatrists · 2024
    Article
  5. 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 at 2 institutions in 1 country.

Brian J MickeyDepartment of Psychiatry, Huntsman Mental Health Institute, University of Utah, Salt Lake City, UT, 84108, USA; Department of Psychiatry, University of Michigan, Ann Arbor, MI, 48109, USA. Electronic address: brian.mickey@utah.edu.
Yarden GinsburgDepartment of Psychiatry, University of Michigan, Ann Arbor, MI, 48109, USA.
Erica JensenDepartment of Psychiatry, Huntsman Mental Health Institute, University of Utah, Salt Lake City, UT, 84108, USA.
Daniel F MaixnerDepartment of Psychiatry, University of Michigan, Ann Arbor, MI, 48109, USA.
University of Michigan · USUniversity of Utah · US

Funding

Michigan Institute for Clinical and Health Research (MCHR)UL1TR000433 · NCATS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MASHOUR, GEORGE ALEXANDER · 2012 to 2016
$49.9M
Functional Neuroimaging of Individual Differences in Affect and Motivation in MajK23MH092648 · NIMH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MICKEY, BRIAN JAMES · 2012 to 2015
$729k
NCATS NIH HHS UL1 TR000433NIMH NIH HHS K23 MH092648
6 · The paper itself

Abstract

Patients and clinicians considering electroconvulsive therapy (ECT) for treatment-resistant depression are faced with limited information about the likely long-term outcomes, and the individual characteristics that predict those outcomes. We aimed to identify sociodemographic and clinical predictors of acute ECT response and subsequent long-term depression severity. This prospective longitudinal study followed adult patients at a single academic ECT center. Among 114 participants, 105 completed an index ECT series and 70 were classified as acute ECT responders. Over a 2-year follow-up period, 82 subjects provided data on depression severity (Patient Health Questionnaire; PHQ-9). Better acute ECT response was predicted by less medication resistance, shorter index episode, and psychotic features (p < 0.05). PHQ-9 scores during the two-year follow-up period improved from baseline at all time points (p < 0.000001) but individual scores varied widely. Lower long-term PHQ-9 scores were predicted by better acute therapeutic response to ECT (p = 0.004) but not by ECT adverse effects (p > 0.05). Married status and greater baseline clinician-rated severity were not associated with acute ECT response but those variables did predict lower PHQ-9 scores longitudinally (p < 0.001), independent of other baseline features, initial ECT response, or intensity of ongoing treatment. These findings confirm previously identified predictors of short-term ECT response and demonstrate that distinct individual characteristics predict long-term depression outcomes. An individual's social context appears to strongly influence long-term but not short-term outcomes, suggesting a potential target for post-ECT therapeutic interventions.

Indexed as

Electroconvulsive therapyLong-termPredictorsSocial supportTreatment-resistant depression

Identifiers

PMID34923356
PMCPMC9192826
OpenAlexW4200416921

What OpenQuestion holds

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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 OpenQuestion graph.