Evidence map›Paper›PMID 38323145›Full record

ArticlemHealth2024

Internet-based cognitive behavioral therapy intervention for youth with type 1 diabetes and depressive symptoms: a pilot and feasibility study.

Puja Singh, Juan Mejia Otero, Carol Howe, Rebecca T Feinstein, Kushagra Gupta, Tracy R G Gladstone, Benjamin W Van Voorhees, Olga T Gupta

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in mHealth, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

8 authors.

Puja SinghDivision of Pediatric Endocrinology, Department of Pediatrics, UT Southwestern Medical Center, Dallas, TX, USA.
Juan Mejia OteroDivision of Pediatric Endocrinology, Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
Carol HoweHarris College of Nursing and Health Sciences, Texas Christian University, Fort Worth, TX, USA.
Rebecca T FeinsteinThe AI.Health4All Center, University of Illinois at Chicago, Chicago, IL, USA.
Kushagra GuptaChicago Medical School, Rosalind Franklin University of Medicine and Science, North Chicago, IL, USA.
Tracy R G GladstoneDepartment of Behavioral and Social Sciences, School of Public Health, Brown University, Providence, RI, USA.
Benjamin W Van VoorheesDepartment of Pediatrics, University of Illinois at Chicago, Chicago, IL, USA.
Olga T GuptaDivision of Pediatric Endocrinology, Department of Pediatrics, UT Southwestern Medical Center, Dallas, TX, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Depression is more common in youth with type 1 diabetes (T1D) compared to youth without diabetes. This study aims to assess the efficacy of Competent Adulthood Transition with Cognitive Humanistic and Interpersonal Teaching (CATCH-IT), an internet-based cognitive behavioral therapy (CBT) intervention, in adolescents with T1D and depressive symptoms. Adolescents (13 to 17 years old) with T1D and mild (score 5-9) or moderate (score 10-14) depressive symptoms on Patient Health Questionnaire-Adolescent (PHQ-A) screening assessment were recruited to participate and received online access to the CATCH-IT modules for 6 months (requested to complete in 12 weeks). Statistical analyses included paired

Indexed as

cognitive behavioral therapy (CBT)depressionType 1 diabetes (T1D)

Identifiers

PMID38323145
PMCPMC10839524

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.