How have predictors, moderators, mediators, treatment response, remission and resistance been defined and measured in randomised controlled trials for adolescent depression? A scoping review protocol
Bibliographic record
Abstract
INTRODUCTION: Among randomised controlled trials for depressed adolescents, the extent of variation in how depressive symptom outcomes are defined is unknown. The variability in which potential predictors of these outcomes are tested is also unclear. This paper is a protocol describing the methods of a planned scoping review. The scoping review will examine and summarise how change in depressive symptoms have been described in RCT treatment studies to date. This review will report the measures used to describe change in depressive symptoms and whether the measure was used as a continuous or binary outcome or both. This review will describe how dichotomous outcome terms are defined to describe change in depression severity. This review will also examine predictors, moderators and mediators of change in depressive symptoms within RCTs. METHODS AND ANALYSIS: In this paper, we describe the protocol for our scoping review. Following the format outlined by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping reviews, a research librarian will develop an operationalised search strategy, which we will apply to the MEDLINE, Embase, PsycINFO and Cumulative Index to Nursing and Allied Health Literature databases. We will search for papers from inception to 6 February 2020. A hand search for key citations will also be conducted. Investigator-raters will screen articles, first via the titles and abstracts and then through full-text reviews. We will include articles with randomised control design which assess the treatment of adolescents with major depressive disorder. We will systematically extract and synthesise prespecified data which includes: definition of depression used for participant inclusion, measures used to evaluate changes in depression, type of outcome used (continuous, binary or both), definitions of dichotomous terms to denote change in depression (eg, response, remission, recovery, etc) and reported predictors/moderators/mediators of change. ETHICS AND DISSEMINATION: Ethics approval is not required. Findings will be presented in journal publications and at conferences.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.344 | 0.356 |
| Meta-epidemiology (narrow) | 0.007 | 0.006 |
| Meta-epidemiology (broad) | 0.016 | 0.025 |
| Bibliometrics | 0.016 | 0.014 |
| Science and technology studies | 0.005 | 0.009 |
| Scholarly communication | 0.012 | 0.015 |
| Open science | 0.009 | 0.010 |
| Research integrity | 0.017 | 0.011 |
| Insufficient payload (model declined to judge) | 0.047 | 0.016 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".