Evidence map›Paper›PMID 42572390›Full record

ArticlePsychological medicine2026

Anxiety and depression subtypes and their psychotherapy response: A network analysis of 33,675 patients.

Zoë Mermin, Donald J Robinaugh, Thomas D Hull, Kristin L Szuhany, Naomi Simon, Matteo Malgaroli

Abstract read
In one paragraph

Article in Psychological medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Zoë MerminDepartment of Psychiatry, New York University Grossman School of Medicine, New York, NY, USA.ORCID 0009-0004-6697-8017
Donald J RobinaughDepartment of Applied Psychology, Northeastern University, Boston, MA, USA.ORCID 0000-0002-5579-7518
Thomas D HullTalkspace, New York, NY, USA.
Kristin L SzuhanyDepartment of Psychiatry, New York University Grossman School of Medicine, New York, NY, USA.ORCID 0000-0003-2063-6180
Naomi SimonDepartment of Psychiatry, New York University Grossman School of Medicine, New York, NY, USA.
Matteo MalgaroliDepartment of Psychiatry, New York University Grossman School of Medicine, New York, NY, USA.ORCID 0000-0003-4209-6939

Funding

Deep Learning Based Natural Language Processing Markers of Anxiety and DepressionK23MH134068 · NIMH · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Matteo Malgaroli · 2023 to 2026
$982k
National Institute of Mental Health and Neurosciences K23MH134068NIMH NIH HHS K23 MH134068
6 · The paper itself

Abstract

backgroundMajor depressive disorder and generalized anxiety disorder frequently co-occur, leading to heterogeneous presentations that complicate diagnosis and treatment. While diagnostic categories often obscure symptom variability, network approaches offer a powerful way to examine how symptoms relate to one another within and across conditions. By identifying symptom clusters, these methods can provide insights into potential mechanisms of comorbidity and symptom maintenance and may ultimately help guide more personalized treatment.

methodsWe examined patients (

resultsWe found four baseline symptom clusters relating to Affective Dysregulation, Worries, Neurovegetative symptoms, and Hyperarousal. Affective Dysregulation and Neurovegetative clusters were associated with poorer outcomes, whereas Worries and Hyperarousal were associated with recovery over partial improvement; Hyperarousal also differentiated recovery from non-response.

conclusionsSymptom clusters derived from standard screening measures were associated with differential treatment trajectories. Targeting these symptom configurations may be particularly effective at disrupting multiple symptom pathways. Future research should examine whether personalized treatment strategies that consider symptom clusters based on simple screening in practice settings yield greater clinical improvement than traditional diagnostic categories.

Indexed as

Anxiety DisordersMajor Depressive DisorderPsychotherapyAdultFemaleGeneralized Anxiety DisorderHumansMaleMiddle AgedTreatment Effect Heterogeneityanxietydepressiondigital mental healthnetwork analysispsychotherapysymptom clusters

Identifiers

PMID42572390
PMCPMC13468946

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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.