Evidence map›Paper›PMID 40800021›Full record

ArticleFrontiers in public health2025

Participatory development and proof-of-concept of a dyadic-based, AI-driven, just-in-time adaptive intervention mechanism for preventing anxiety and depressive disorders via app: study protocol for a feasibility study.

Anna-Carlotta Zarski, Theresa Sextl-Plötz, Juliane Schmidt-Hantke, Natalie Sarah Hess, Claudia Buntrock

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Anna-Carlotta ZarskiDivision of eHealth in Clinical Psychology, Department of Clinical Psychology, Philipps-Universität Marburg, Marburg, Germany.
Theresa Sextl-PlötzDivision of eHealth in Clinical Psychology, Department of Clinical Psychology, Philipps-Universität Marburg, Marburg, Germany.
Juliane Schmidt-HantkeDivision of eHealth in Clinical Psychology, Department of Clinical Psychology, Philipps-Universität Marburg, Marburg, Germany.
Natalie Sarah HessDivision of eHealth in Clinical Psychology, Department of Clinical Psychology, Philipps-Universität Marburg, Marburg, Germany.
Claudia BuntrockMedical Faculty, Institute of Social Medicine and Health Systems Research, Otto-von-Guericke University Magdeburg, Magdeburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Anxiety DisordersDepressive DisorderMobile ApplicationsAdultAnxietyFeasibility StudiesFemaleFocus GroupsHumansMaleMiddle AgedProof of Concept StudyAI driven JITAIdigital mental healthecological momentary assessmentinternet and mobile interventionmental healthmental health appmobile healthprevention

Identifiers

PMID40800021
PMCPMC12339339

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.