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Record W4206233926 · doi:10.1016/j.conctc.2021.100883

Innovation in the treatment of persistent pain in adults with Neurofibromatosis Type 1 (NF1): Implementation of the iCanCope mobile application

2021· article· en· W4206233926 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueContemporary Clinical Trials Communications · 2021
Typearticle
Languageen
FieldMedicine
TopicPain Mechanisms and Treatments
Canadian institutionsUniversity Health NetworkHospital for Sick ChildrenPublic Health OntarioUniversity of Toronto
FundersMedical Research and Materiel CommandCongressionally Directed Medical Research ProgramsU.S. Army
KeywordsPsychosocialPopulationNeurofibromatosisMedicinePatient satisfactionPhysical therapyClinical psychologyPsychologyPsychiatryNursing

Abstract

fetched live from OpenAlex

Neurofibromatosis Type 1 (NF1) is a genetic disorder presenting with chronic pain symptoms that has limited treatment options for addressing the pain. The utilization of a mobile application allows for greater reach and scalability when using empirically valid psychosocial self-management treatments for pain. The iCanCope mobile application has been utilized in several different populations dealing with pain symptoms and has demonstrated initial effectiveness. To address the need for this population, we have customized the iCanCope mobile application for the NF1 population and included additional tailored features. We describe the rationale and design of a pilot randomized control study with a sample of 108 adults with NF1, in which two groups will receive access to the mobile application, of which one group will be incentivized to engage in the mobile application and the third group will treatment as usual over the course of 8-week period with a six-week follow-up. Outcomes will focus on the acceptability of the iCanCope-NF mobile application within the NF1 population and the impact of pain related activity on psychometric evaluations to determine if the contingency management will impact the engagement of mobile application, as well as to identify the participants' experiences in relationship to their treatment satisfaction and perceived support.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationallow
gptno category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Other designlow
models splitAgreement compares identical category sets and study designs across arms.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.146
Threshold uncertainty score0.252

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.248
GPT teacher head0.468
Teacher spread0.220 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it