Evidence map›Paper›PMID 39826678›Full record

Trial reportThe journal of pain2025

Treatment expectations and pain-related outcomes in clinical trials of digital cognitive-behavioral therapy for youth with chronic pain.

Rui Li, Kavin Srinakarin, Rocío de la Vega, Caitlin B Murray, Tonya M Palermo

Abstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in The journal of pain, 2025. 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. Trial
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.

Rui LiCenter for Child Health, Behavior and Development, Seattle Children's Research Institute, Seattle, WA, USA; Department of Anesthesiology & Pain Medicine, University of Washington, Seattle, WA, USA. Electronic address: rui.li@seattlechildrens.org.
Kavin SrinakarinCenter for Child Health, Behavior and Development, Seattle Children's Research Institute, Seattle, WA, USA.
Rocío de la VegaFacultad de Psicología y Logopedia, Universidad de Málaga, Málaga, Spain; Instituto de Investigación Biomédica de Málaga (IBIMA Plataforma BIONAND), Málaga, Spain.
Caitlin B MurrayCenter for Child Health, Behavior and Development, Seattle Children's Research Institute, Seattle, WA, USA; Department of Anesthesiology & Pain Medicine, University of Washington, Seattle, WA, USA.
Tonya M PalermoCenter for Child Health, Behavior and Development, Seattle Children's Research Institute, Seattle, WA, USA; Department of Anesthesiology & Pain Medicine, University of Washington, Seattle, WA, USA.

Funding

iCanCope with Sickle Cell DiseaseR01HD086978 · NICHD · SEATTLE CHILDREN'S HOSPITAL · PI DAMPIER, CARLTON, PALERMO, TONYA M · 2016 to 2020
$2.4M
An internet CBT intervention for pediatric chronic pain and disabilityR01HD062538 · NICHD · SEATTLE CHILDREN'S HOSPITAL · PI PALERMO, TONYA M · 2010 to 2014
$2.1M
Using ecological momentary assessment to develop an adaptive psychological intervention for young adults with chronic pain.K23AT012901 · NCCIH · SEATTLE CHILDREN'S HOSPITAL · PI Caitlin Murray · 2024 to 2026
$471k
NCCIH NIH HHS K23 AT012901NICHD NIH HHS R01 HD062538NICHD NIH HHS R01 HD086978
6 · The paper itself

Abstract

Treatment expectations (TE) are predictive of patient outcomes in clinical practice and suggested to moderate treatment responses in chronic pain clinical trials. However, evidence is mainly derived from studies conducted with adult populations with musculoskeletal pain, primarily focused on pharmacological treatments and a few alternative intervention modalities (e.g., acupuncture). We examined the role of pretreatment TE in youth participating in two randomized controlled trials of digital cognitive-behavioral therapy (CBT) for chronic pain-the WebMAP2 Trial of youth with chronic primary pain (n = 273) and the iCC-SCD Trial of youth with sickle cell pain (n = 111). Specifically, we tested: 1) whether controlling for TE enhanced the detection of treatment efficacy, 2) the main effect of TE in predicting pain-related outcomes over time (regardless of treatment assignment), and 3) the effect of TE in moderating treatment efficacy (digital CBT vs education control). Findings indicated that adjusting for pretreatment TE did not enhance the ability to detect treatment efficacy. In the WebMAP2 Trial, higher pretreatment TE were associated with greater reductions in anxiety and lower CBT efficacy (relative to education control) in improving depressive and anxiety symptoms. In the iCC-SCD Trial, higher pretreatment TE were associated with greater improvement in mobility and enhanced CBT efficacy (relative to education control) for improving mobility. Overall, higher pretreatment TE were associated with better functioning over time, though the specific domains of improvement and the moderating effects on treatment efficacy somewhat differed between youth with primary and sickle cell-related chronic pain. PERSPECTIVE: Incorporating TE into clinical assessments and ensuring consistent collection, reporting, and analysis in clinical trials are crucial for identifying potential heterogeneous treatment responses. Standardizing TE measures for youth with chronic pain and considering population characteristics are important for understanding TE's role in treatment responses.

Indexed as

Chronic PainCognitive Behavioral TherapyPain ManagementAdolescentAnemia, Sickle CellChildFemaleHumansMalePain MeasurementSecondary Data AnalysisTreatment OutcomeYoung AdultChronic painClinical trialPediatricPlaceboTreatment expectations

Identifiers

PMID39826678
PMCPMC11893244

What OpenQuestion holds

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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.