Evidence map›Paper›PMID 35156100›Full record

ReviewFaculty reviews2022

We know CBT-I works, now what?

Alexandria Muench, Ivan Vargas, Michael A Grandner, Jason G Ellis, Donn Posner, Célyne H Bastien, Sean Pa Drummond, Michael L Perlis

Registry-linked trialOpen access · diamondAbstract readReview
In one paragraph

Review in Faculty reviews, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06926348 (Usability, Acceptability, and Preliminary Effectiveness of a Digital Health Technology for Patient Monitoring of Chronic Insomnia Symptoms and the Promotion of Functional Sleep Behaviors), which is not on this map. Cited by 46 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 4 pooled it
14.5field-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.

NCT06926348 narecruitingnot on this mapstarted 2025, after this paper: background citation

Usability, Acceptability, and Preliminary Effectiveness of a Digital Health Technology for Patient Monitoring of Chronic Insomnia Symptoms and the Promotion of Functional Sleep Behaviors: A Randomized Clinical Trial

TypeinterventionalSponsorUniversita di VeronaRan2025 to 2026Enrolled50ConditionsInsomnia Chronic, InsomniaArmsDigital Health Technology for Chronic Insomnia, Treatment as Usual (TAU)
3 · Its place in the literature

Who cites it

46 citing papers in PubMed, 4 syntheses or guidelines pooled it, 79 citations in OpenAlex.

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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 at 7 institutions in 4 countries.

Alexandria MuenchBehavioral Sleep Medicine Program, Department of Psychiatry, University of Pennsylvania, PA, USA.
Ivan VargasDepartment of Psychological Sciences, University of Arkansas, Fayetteville, AR, USA.
Michael A GrandnerDepartment of Psychiatry, University of Arizona, AZ, USA.
Jason G EllisNorthumbria Centre for Sleep Research, Northumbria University, UK.
Donn PosnerDepartment of Psychiatry & Behavioral Sciences, Stanford University, Stanford, CA, USA.
Célyne H BastienSchool of Psychology, Laval University, Pavillon Félix-Antoine-Savard, Québec, Canada.
Sean Pa DrummondTurner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Victoria, Australia.
Michael L PerlisBehavioral Sleep Medicine Program, Department of Psychiatry, University of Pennsylvania, PA, USA.
University of Pennsylvania · USMonash University · AUNorthumbria University · GBStanford University · USUniversité Laval · CAUniversity of Arizona · USUniversity of Arkansas at Fayetteville · US

Funding

TRAINING PROGRAM/RESPIRATORY NEUROBIOLOGY AND SLEEPT32HL007713 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI PACK, ALLAN I · 1992 to 2022
$11.9M
Behavioral Sleep Medicine: Training in Sleep and AgingK24AG055602 · NIA · UNIVERSITY OF PENNSYLVANIA · PI Michael Lloyd Perlis · 2017 to 2026
$1.6M
Circadian and Ultradian Cortisol Rhythms in Chronic Sleep Continuity DisturbanceK23HL141581 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI VARGAS, IVAN · 2019 to 2023
$677k
NHLBI NIH HHS K23 HL141581NHLBI NIH HHS T32 HL007713NIA NIH HHS K24 AG055602
6 · The paper itself

Abstract

Cognitive behavioral therapy for insomnia (CBT-I) has been shown to be efficacious and now is considered the first-line treatment for insomnia for both uncomplicated insomnia and insomnia that occurs comorbidly with other chronic disorders (comorbid insomnia). The purposes of this review are to provide a comprehensive summary of the efficacy data (for example, efficacy overall and by clinical and demographic considerations and by CBT-I formulation) and to discuss the future of CBT-I (for example, what next steps should be taken in terms of research, dissemination, implementation, and practice).

Indexed as

CBT-IEfficacyFuture DirectionsInsomnia

Identifiers

PMID35156100
PMCPMC8808745
OpenAlexW4210737832

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.