Evidence map›Paper›PMID 39931044›Full record

ReviewInternet interventions2025

Efficacy of a process-based, Mobile-delivered personalized CBT for anxiety disorders: Study protocol for a randomized controlled trial.

Lizu Lai, Ying Li, Ziyi Zhao, Zhihong Ren

Abstract readReview
In one paragraph

Review in Internet interventions, 2025. 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

4 authors.

Lizu LaiSchool of Humanities, Hubei University of Chinese Medicine, Wuhan, Hubei, China.
Ying LiKey Laboratory of Adolescent Cyberpsychology and Behavior (CCNU), Ministry of Education, Key Laboratory of Human Development and Mental Health of Hubei Province, School of Psychology, Central China Normal University, Wuhan, Hubei, China.
Ziyi ZhaoKey Laboratory of Adolescent Cyberpsychology and Behavior (CCNU), Ministry of Education, Key Laboratory of Human Development and Mental Health of Hubei Province, School of Psychology, Central China Normal University, Wuhan, Hubei, China.
Zhihong RenKey Laboratory of Adolescent Cyberpsychology and Behavior (CCNU), Ministry of Education, Key Laboratory of Human Development and Mental Health of Hubei Province, School of Psychology, Central China Normal University, Wuhan, Hubei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Internet-based Cognitive Behavioral Therapy (ICBT) is effective in treating anxiety disorders, yet there is room for improvement in treatment response and reduction in dropout rates. This study proposes a personalized, modular ICBT intervention that leverages the extended evolutionary meta-model to provide a dynamic and adaptive treatment approach, aiming to enhance usability and efficacy. Methods: The trial will be conducted in two phases. Phase I involves 182 participants who will undergo a 30-day ecological momentary assessment to record functional processes and anxiety levels three times a day. The data collected will help in identifying key functional predictors of anxiety for each participant through group iterative multiple model estimation. In Phase II, participants who complete Phase I will be randomized into three groups: personalized CBT, standard CBT, and a waiting list. Outcome measures will include Brief Symptom Inventory, specific measures of anxiety, usability metrics, and dropout rates. Assessments will be conducted at baseline, immediately post-treatment, and at 1- and 3-month follow-ups. A linear mixed model will be utilized to analyze the data and determine the intervention's efficacy. Discussion: Anticipated outcomes from this study include advancements in personalized CBT for anxiety disorders, contributing valuable insights into their potential benefits and addressing existing challenges in the field.

Indexed as

Anxiety disordersCBTProcess-based therapyRandomized controlled trial

Identifiers

PMID39931044
PMCPMC11808676

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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.