Evidence map›Paper›PMID 36275208›Full record

ArticleFrontiers in psychology2022

Patient engagement in the development of CF-CBT: A cystic fibrosis-specific cognitive-behavioral intervention for adults.

Deborah Friedman, Maysa M Kaskas, Alexandra L Quittner, Beth A Smith, Anna M Georgiopoulos

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.8field-weighted citation impact, top 14% 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.

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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. A Qualitative Study to Improve How We Partner With Patients and Families in Healthcare Improvement Collaboratives.Health expectations : an international journal of public participation in health care and health policy · 2025
    Article
  5. Review
  6. Review
  7. Article
  8. Review
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 at 3 institutions in 1 country.

Deborah FriedmanDepartment of Psychiatry, Massachusetts General Hospital, Boston, MA, United States.
Maysa M KaskasDepartment of Psychiatry, Massachusetts General Hospital, Boston, MA, United States.
Alexandra L QuittnerBehavioral Health Systems Research, Miami, FL, United States.
Beth A SmithDepartment of Pediatrics, University of Buffalo School of Medicine, Buffalo, NY, United States.
Anna M GeorgiopoulosDepartment of Psychiatry, Massachusetts General Hospital, Boston, MA, United States.
Massachusetts General Hospital · USBehavioral Health Systems · USUniversity at Buffalo, State University of New York · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Individuals with cystic fibrosis (CF) are at high risk for depression and anxiety, with negative consequences for health and quality of life. Cystic Fibrosis Foundation/European Cystic Fibrosis Society guidelines recommend routine screening, treatment, and preventative efforts. Cognitive-behavioral therapy (CBT) has a large evidence-base for depression/anxiety prevention and treatment. However, traditional CBT protocols require adaptation to address the emotional challenges of coping with CF, stressors related to disease management, and barriers to access to care. The goal of this study was to partner with the CF community to develop an innovative CBT-based intervention for the prevention and treatment of depression and anxiety tailored to CF-specific needs. In-depth feedback was collected

Indexed as

anxietycystic fibrosisdepressionprogram developmentqualitativeresilience

Identifiers

PMID36275208
PMCPMC9585970
OpenAlexW4303614688

What OpenQuestion 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 OpenQuestion graph.