Evidence map›Paper›PMID 37285133›Full record

Trial reportJAMA psychiatry2023

A Precision Treatment Model for Internet-Delivered Cognitive Behavioral Therapy for Anxiety and Depression Among University Students: A Secondary Analysis of a Randomized Clinical Trial.

Corina Benjet, Nur Hani Zainal, Yesica Albor, Libia Alvis-Barranco, Nayib Carrasco-Tapias, Carlos C Contreras-Ibáñez, Lorena Cudris-Torres, Francisco R de la Peña, Noé González, José Benjamín Guerrero-López and 12 more

Registry-linked trialOpen access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in JAMA psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04780542 (Computerized Detection and Internet-based Treatment of Common Mental Disorders Among College Students in Two Latin American LMICs), which is not on this map. Cited by 28 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 2 pooled it
9.7field-weighted citation impact, top 1% of its field
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.

NCT04780542 naunknown statusnot on this map

Computerized Detection and Internet-based Treatment of Common Mental Disorders Among College Students in Two Latin American LMICs

TypeinterventionalSponsorInstituto Nacional de Psiquiatría Dr. Ramón de la FuenteRan2021 to 2025Enrolled1,500ConditionsMajor Depressive Disorder, Generalized Anxiety DisorderArmsYo Puedo Sentirme Bien- Clinician-Guided version, Yo Puedo Sentirme Bien- Self-Guided version
3 · Its place in the literature

Who cites it

28 citing papers in PubMed, 2 syntheses or guidelines pooled it, 49 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Trial
  6. Trial
  7. Trial
  8. Big data and psychiatry: advances, constraints and future directions.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2026
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Innovations to improve outcomes and uptake of psychotherapies for mental disorders: a state-of-the-art review.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2026
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Reducing the burden of PTSD through digital interventions and development of sequential precision treatment rules.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2025
    Article
  20. 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

22 authors at 13 institutions in 4 countries.

Corina BenjetCenter for Global Mental Health, National Institute of Psychiatry Ramón de la Fuente Muñiz, Mexico City, Mexico.
Nur Hani ZainalDepartment of Health Care Policy, Harvard Medical School, Boston, Massachusetts.
Yesica AlborCenter for Global Mental Health, National Institute of Psychiatry Ramón de la Fuente Muñiz, Mexico City, Mexico.
Libia Alvis-BarrancoDepartamento de Psicología, Universidad Popular de Cesar, Valledupar, Colombia.
Nayib Carrasco-TapiasFacultad de Psicología, Universidad Cooperativa de Colombia, Medellin, Colombia.
Carlos C Contreras-IbáñezDepartamento de Sociología, Universidad Autónoma Metropolitana, Mexico City, Mexico.
Lorena Cudris-TorresPrograma de Psicología, Fundación Universitaria del Area Andina, Valledupar, Colombia.
Francisco R de la PeñaUnidad de Fomento a la Investigacion, Direccion de Servicios Clínicos, National Institute of Psychiatry Ramón de la Fuente Muñiz, Mexico City, Mexico.
Noé GonzálezCenter for Global Mental Health, National Institute of Psychiatry Ramón de la Fuente Muñiz, Mexico City, Mexico.
José Benjamín Guerrero-LópezDepartamento de Psiquiatría y Salud Mental, Universidad Nacional Autónoma de México, Mexico City, Mexico.
Raúl A Gutierrez-GarciaFacultad de Estudios Superiores, Universidad De La Salle Bajío, Salamanca, Gto, Mexico.
Ana Lucía Jiménez-PerézFacultad de Ciencias Administrativas y Sociales, Universidad Autónoma de Baja California, Ensenada, Mexico.
Maria Elena Medina-MoraCenter for Global Mental Health, National Institute of Psychiatry Ramón de la Fuente Muñiz, Mexico City, Mexico.
Pamela PatiñoCenter for Global Mental Health, National Institute of Psychiatry Ramón de la Fuente Muñiz, Mexico City, Mexico.
Pim CuijpersDepartment of Clinical, Neuro-, and Developmental Psychology, Vrije Universiteit, Amsterdam, the Netherlands.
Sarah M GildeaDepartment of Health Care Policy, Harvard Medical School, Boston, Massachusetts.
Alan E KazdinDepartment of Psychology, Yale University, New Haven, Connecticut.
Chris J KennedyCenter for Precision Psychiatry, Department of Psychiatry, Massachusetts General Hospital, Boston.
Alex LuedtkeDepartment of Statistics, University of Washington, Seattle.
Nancy A SampsonDepartment of Health Care Policy, Harvard Medical School, Boston, Massachusetts.
Maria V PetukhovaDepartment of Health Care Policy, Harvard Medical School, Boston, Massachusetts.
Ronald C KesslerDepartment of Health Care Policy, Harvard Medical School, Boston, Massachusetts.
Instituto Nacional de Psiquiatría · MXHarvard University · USFundación Universitaria del Área Andina · COMassachusetts General Hospital · USPopular University of Cesar · COUniversidad Autónoma de Baja California · MXUniversidad Autónoma Metropolitana · MXUniversidad Cooperativa de Colombia · COUniversidad de La Salle Bajío · MXUniversidad Nacional Autónoma de México · MXUniversity of Washington · USVrije Universiteit Amsterdam · NLYale University · US

Funding

Computerized detection and internet-based treatment of common mental disorders among college students in two Latin American LMICsR01MH120648 · NIMH · NATIONAL INSTITUTE OF PSYCHIATRY · PI BENJET, CORINA L., KESSLER, RONALD C · 2020 to 2024
$2.7M
NIMH NIH HHS R01 MH120648
6 · The paper itself

Abstract

Importance: Guided internet-delivered cognitive behavioral therapy (i-CBT) is a low-cost way to address high unmet need for anxiety and depression treatment. Scalability could be increased if some patients were helped as much by self-guided i-CBT as guided i-CBT. Objective: To develop an individualized treatment rule using machine learning methods for guided i-CBT vs self-guided i-CBT based on a rich set of baseline predictors. Design, Setting, and Participants: This prespecified secondary analysis of an assessor-blinded, multisite randomized clinical trial of guided i-CBT, self-guided i-CBT, and treatment as usual included students in Colombia and Mexico who were seeking treatment for anxiety (defined as a 7-item Generalized Anxiety Disorder [GAD-7] score of ≥10) and/or depression (defined as a 9-item Patient Health Questionnaire [PHQ-9] score of ≥10). Study recruitment was from March 1 to October 26, 2021. Initial data analysis was conducted from May 23 to October 26, 2022. Interventions: Participants were randomized to a culturally adapted transdiagnostic i-CBT that was guided (n = 445), self-guided (n = 439), or treatment as usual (n = 435). Main Outcomes and Measures: Remission of anxiety (GAD-7 scores of ≤4) and depression (PHQ-9 scores of ≤4) 3 months after baseline. Results: The study included 1319 participants (mean [SD] age, 21.4 [3.2] years; 1038 women [78.7%]; 725 participants [55.0%] came from Mexico). A total of 1210 participants (91.7%) had significantly higher mean (SE) probabilities of joint remission of anxiety and depression with guided i-CBT (51.8% [3.0%]) than with self-guided i-CBT (37.8% [3.0%]; P = .003) or treatment as usual (40.0% [2.7%]; P = .001). The remaining 109 participants (8.3%) had low mean (SE) probabilities of joint remission of anxiety and depression across all groups (guided i-CBT: 24.5% [9.1%]; P = .007; self-guided i-CBT: 25.4% [8.8%]; P = .004; treatment as usual: 31.0% [9.4%]; P = .001). All participants with baseline anxiety had nonsignificantly higher mean (SE) probabilities of anxiety remission with guided i-CBT (62.7% [5.9%]) than the other 2 groups (self-guided i-CBT: 50.2% [6.2%]; P = .14; treatment as usual: 53.0% [6.0%]; P = .25). A total of 841 of 1177 participants (71.5%) with baseline depression had significantly higher mean (SE) probabilities of depression remission with guided i-CBT (61.5% [3.6%]) than the other 2 groups (self-guided i-CBT: 44.3% [3.7%]; P = .001; treatment as usual: 41.8% [3.2%]; P < .001). The other 336 participants (28.5%) with baseline depression had nonsignificantly higher mean (SE) probabilities of depression remission with self-guided i-CBT (54.4% [6.0%]) than guided i-CBT (39.8% [5.4%]; P = .07). Conclusions and Relevance: Guided i-CBT yielded the highest probabilities of remission of anxiety and depression for most participants; however, these differences were nonsignificant for anxiety. Some participants had the highest probabilities of remission of depression with self-guided i-CBT. Information about this variation could be used to optimize allocation of guided and self-guided i-CBT in resource-constrained settings. Trial Registration: ClinicalTrials.gov Identifier: NCT04780542.

Indexed as

Cognitive Behavioral TherapyDepressionAdultAnxietyAnxiety DisordersFemaleHumansInternetTreatment OutcomeUniversitiesYoung Adult

Identifiers

PMID37285133
PMCPMC10248814
OpenAlexW4379598408

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.