<p>Evaluating the prevalence of diabetes mellitus subtypes in childhood cancer survivors: a systematic review protocol</p>
Bibliographic record
Abstract
Objectives: The number of children who survive cancer is reaching new record levels, thanks to improved management strategies. However, this population is predisposed to chronic health conditions including cardiovascular disease and type 2 diabetes, yet the full scale of these diagnoses in this population is unclear. This protocol describes the conduct of a systematic review to report on the prevalence of diabetes mellitus (DM) subtypes in childhood cancer survivors. Methods: Searches will be conducted in MEDLINE, Embase, CINAHL, Cochrane Database of Systematic Reviews, and Cochrane Central Register of Controlled Trials. We will also search gray literature in Theses A&I, ProQuest Dissertations, and Web of Science as well as clinicaltrials.gov. Screening search results and data abstraction will be done independently by two reviewers. We will conduct a meta-analysis if two studies have similar designs, populations, methods, and outcome measures reported. Results: The findings of this systematic review will provide insights into the scale of diabetes in childhood cancer survivors to allow the prioritization of subpopulations that need specific interventions to screen, prevent, and treat DM. This will likely lead to improved outcomes in childhood cancer survivors. Keywords: systematic review protocol, childhood cancer, cancer survivorship, diabetes mellitus, type 1 diabetes mellitus, type 2 diabetes mellitus
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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 | 0.010 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".