Cited by 73Treatment of Major DepressionMental Health Treatment and AccessPsychotherapy Techniques and Applications

Early improvement as a resilience signal predicting later remission to antidepressant treatment in patients with Major Depressive Disorder: Systematic review and meta-analysis

Wagner, Stefanie, Engel, Alice, Engelmann, Jan, Herzog, David, Dreimüller, Nadine, Müller, Marianne B., Tadić, André, Lieb, Klaus·2017·Journal of Psychiatric Research

Abstract

Early improvement of depressive symptoms during the first two weeks of antidepressant treatment has been discussed to be a resilience signal predicting a later positive treatment outcome in patients with Major Depressive Disorder (MDD). However, the predictive value of early improvement varies between studies, and the use of different antidepressants may explain heterogeneous results. The objective of this review was to assess the predictive value of early improvement on later response and remission and to identify antidepressants with the highest chance of early improvement. We included 17 randomized controlled trials investigating early improvement in 14,779 adult patients with MDD comparing monotherapy with an antidepressant against placebo or another antidepressant drug. 62% (range: 35-85%) of patients treated with an antidepressant and 47% (range: 21-69%) with placebo were early improver, defined as a >20%/25% symptom reduction after two weeks of treatment. Early improvement predicted response and remission after 5-12 weeks of treatment with high sensitivity (85%; 95%-CI: 84.3 to 85.7) and low to moderate specificity (54%; 95%-CI: 53.1 to 54.9). Early improver had a 8.37 fold (6.97-10.05) higher likelihood to become responder and a 6.38 fold (5.07-8.02) higher likelihood to be remitter at endpoint than non-improver. The highest early improver rates were achieved in patients treated with mirtazapine or a tricyclic antidepressant. This finding of a high predictive value of early improvement on treatment outcome may be important for treatment decisions in the early course of antidepressant treatment. Further studies should test the efficacy of such early treatment decisions.

Integrity signals

Registry

Crossref · 10.1016/j.jpsychires.2017.07.003

Cites

53 of 53 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Wagner, S., Engel, A., Engelmann, J., Herzog, D., Dreimüller, N., Müller, M. B., Tadić, A., & Lieb, K.
Affiliations
Johannes Gutenberg University Mainz (DE)
Corresponding author
  • Wagner, Stefanie
  • Lieb, Klaus
Venue
Journal of Psychiatric Research
Publisher
Elsevier BV
Published
2017-11
Volume
94
Pages
96-106
ISSN
0022-3956 (ISSN-L)
OpenAlex
W2725636785
Cited by
73
References
53
Citations by year
2026: 6 · 2025: 4 · 2024: 7 · 2023: 10 · 2022: 10 · 2021: 11 · 2020: 9 · 2019: 9 · 2018: 5 · 2017: 2
FWCI
0.87
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Psychiatric Research (publishedVersion)
  • PubMed (publishedVersion)
Funders
University Medical Center Mainz, Department of Psychiatry and Psychotherapy, Mainz, Germany
Topics
  • Health Sciences › Medicine › Pharmacology › Treatment of Major Depression
  • Social Sciences › Psychology › Social Psychology › Mental Health Treatment and Access
  • Social Sciences › Psychology › Clinical Psychology › Psychotherapy Techniques and Applications
Keywords
major depressive disorder, early improvement, antidepressant response, remission prediction, treatment outcome prediction, antidepressants, mirtazapine, tricyclic antidepressants, placebo response, treatment decision-making
MeSH terms
Antidepressive Agents, Major Depressive Disorder, Humans, Outcome Assessment, Health Care, Resilience, Psychological

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review