A multi-site pilot randomized clinical trial of the Treatment and Education Approach for Childhood-onset Lupus (TEACH) program: study design and COVID-19 adaptations
Bibliographic record
Abstract
BACKGROUND: Childhood-onset Systemic Lupus Erythematosus (cSLE) is an autoimmune disease associated with fatigue, mood symptoms, and pain. Fortunately, these symptoms are potentially modifiable with psychological intervention such as cognitive-behavioral therapy (CBT). The Treatment and Education Approach for Childhood-onset Lupus (TEACH) program is a CBT intervention developed to target these symptoms for adolescents and young adults with cSLE. This pilot randomized controlled trial (RCT) aims to determine the feasibility and effect of TEACH for youth with cSLE. Adjustments to the study protocol following the COVID-19 pandemic are also described. METHODS: This two-arm multisite RCT will explore the feasibility (primary outcome) and effect (secondary outcome) of a remotely delivered TEACH protocol. Participants will be randomized to a six-week remotely delivered TEACH program plus medical treatment as usual (TAU) or TAU alone. We will include patients ages 12-22 years presenting to rheumatology clinics from six sites. Validated measures of fatigue, depressive symptoms, and pain will be obtained at baseline and approximately eight and 20 weeks later. Protocol adjustments were also made due to the COVID-19 pandemic, in collaboration with the investigative team, which included patients and caregivers. CONCLUSIONS: Findings from this multi-site RCT aim to document the feasibility of TEACH and provide an estimate of effect of a remotely delivered TEACH protocol on fatigue, depression, and pain symptoms in youth with cSLE as compared to standard medical treatment alone. This findings may positively impact clinical care for patients with cSLE. CLINICAL TRIALS: gov registration: NCT04335643.
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.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".