Evidence map›Paper›PMID 41072873›Full record

ArticleJournal of affective disorders2026

Characterizing and predicting refractory rumination in obsessive compulsive disorder.

Mary E McNamara, Nicholas Kim, Jacob A Nota, Christian A Webb, Jennie M Kuckertz, Nathaniel Van Kirk, Martha J Falkenstein

Abstract read
In one paragraph

Article in Journal of affective disorders, 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
0cells of the map it votes in
0citing 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

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

7 authors.

Mary E McNamaraMcLean Hospital, 115 Mill St, Belmont, MA, 02478, United States of America; Department of Psychiatry, Harvard Medical School, 2 West, Room 305, 401 Park Drive, Boston, MA, 02215, United States of America. Electronic address: mmcnamara14@mgb.org.
Nicholas KimMcLean Hospital, 115 Mill St, Belmont, MA, 02478, United States of America.
Jacob A NotaMcLean Hospital, 115 Mill St, Belmont, MA, 02478, United States of America; Department of Psychiatry, Harvard Medical School, 2 West, Room 305, 401 Park Drive, Boston, MA, 02215, United States of America.
Christian A WebbMcLean Hospital, 115 Mill St, Belmont, MA, 02478, United States of America; Department of Psychiatry, Harvard Medical School, 2 West, Room 305, 401 Park Drive, Boston, MA, 02215, United States of America.
Jennie M KuckertzMcLean Hospital, 115 Mill St, Belmont, MA, 02478, United States of America; Department of Psychiatry, Harvard Medical School, 2 West, Room 305, 401 Park Drive, Boston, MA, 02215, United States of America.
Nathaniel Van KirkMcLean Hospital, 115 Mill St, Belmont, MA, 02478, United States of America; Department of Psychiatry, Harvard Medical School, 2 West, Room 305, 401 Park Drive, Boston, MA, 02215, United States of America.
Martha J FalkensteinMcLean Hospital, 115 Mill St, Belmont, MA, 02478, United States of America; Department of Psychiatry, Harvard Medical School, 2 West, Room 305, 401 Park Drive, Boston, MA, 02215, United States of America.

Funding

Supplemental: Neural and cognitive propensity for trait rumination in adolescents: a multimodal study with ecological momentary assessments and MRIR01AT011002 · NCCIH · MCLEAN HOSPITAL · PI WEBB, CHRISTIAN ANTHONY · 2021 to 2025
$3.4M
Predicting the onset of depression in at-risk adolescents from endophenotype profilesR01MH116969 · NIMH · MCLEAN HOSPITAL · PI WEBB, CHRISTIAN ANTHONY · 2019 to 2024
$2.8M
Leveraging Machine Learning Approaches to Understand Mechanisms of Exposure Therapy in Real-World SettingsR01MH135899 · NIMH · SAN DIEGO STATE UNIVERSITY · PI Jennie M Kuckertz · 2024 to 2026
$2.3M
Harnessing smartphones for real-time detection of affective disturbance and future depression risk in adolescentsR01MH135844 · NIMH · MCLEAN HOSPITAL · PI Christian Anthony Webb · 2025 to 2026
$1.4M
Interpretation Bias as a Mechanism of Treatment Response in OCD - Administrative SupplementK23MH126193 · NIMH · MCLEAN HOSPITAL · PI Martha J Falkenstein · 2021 to 2026
$1.0M
NCCIH NIH HHS R01 AT011002NIMH NIH HHS K23 MH126193NIMH NIH HHS R01 MH116969NIMH NIH HHS R01 MH135844NIMH NIH HHS R01 MH135899
6 · The paper itself

Abstract

Rumination is problematic for individuals with obsessive compulsive disorder (OCD), and yet, is not addressed in standard treatment for OCD. Further, little is known about whether rumination improves following exposure and response prevention treatment and for whom. The present study sought to characterize the extent to which patients receiving partial hospitalization/residential treatment for OCD (N = 283) continued to struggle with rumination post-treatment. Next, baseline demographic and clinical data was used in two machine learning models to identify pre-treatment predictors of which patients were most likely to struggle with elevated rumination at discharge. Lastly, a mixed-effects model was used to assess the impact of elevated rumination at discharge on patients' OCD symptom severity at discharge, 1, 6, and 12-month follow up assessments. In this sample, rumination change from admission to discharge was minimal, and over one-third of patients did not experience any change in their rumination severity. Elastic net and random forest models predicted approximately 20 % of the out-of-sample predictive R

Indexed as

Obsessive-Compulsive DisorderRumination, CognitiveAdultFemaleHumansMachine LearningMaleMiddle AgedSeverity of Illness IndexObsessive compulsive disorderRumination

Identifiers

PMID41072873
PMCPMC12810204

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.