A Systematic Review Protocol to Assess the Effects of Physical Activity on Health and Quality of Life Outcomes in Adolescent Cancer Survivors
Bibliographic record
Abstract
BACKGROUND: The benefits of physical activity for child and adult cancer survivors have been summarized in previous systematic reviews. However, no review has summarized the evidence for adolescent cancer survivors. OBJECTIVE: This paper describes the design of a protocol to conduct a systematic review of published studies examining the effects of physical activity on health and quality of life outcomes for adolescent cancer survivors. METHODS: Several guidelines informed the development of this protocol. The Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols guidelines provided the structure by which to conduct and report the protocol; though some adaptations were made with regards to search terms, data synthesis, and evaluating the risk of bias. The Cochrane Handbook for Systematic Reviews of Interventions was used to guide research question development, search term selection, and the data extraction form. The Consolidated Standards of Reporting Trials guidelines helped inform the data extraction form. Lastly, the Guidance on the Conduct of Narrative Synthesis in Systematic Reviews informed the data synthesis. Ten electronic databases were identified and a search strategy was developed using a combination of Medical Subject Headings terms and keywords that were developed by the authors and peer reviewed by a university librarian. Both authors independently screened eligible studies for final inclusion, and data were abstracted using a form developed by the research team. A decision was made to synthesize all data narratively. RESULTS: The review has now been completed, peer-reviewed, and accepted for publication in a forthcoming issue of JMIR Cancer. CONCLUSIONS: As this will be the first systematic review on this topic, outlining the protocol ensures transparency for the completed review. Further, this protocol illustrates how elements from several guidelines were incorporated to answer the research question (ie, what is the effect of physical activity on health and quality of life outcomes in adolescent cancer survivors). This flexible approach was necessary as a function of the paucity of available research on this topic.
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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 | 0.142 | 0.155 |
| Meta-epidemiology (narrow) | 0.006 | 0.006 |
| Meta-epidemiology (broad) | 0.018 | 0.015 |
| Bibliometrics | 0.015 | 0.015 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.009 | 0.011 |
| Open science | 0.006 | 0.006 |
| Research integrity | 0.010 | 0.012 |
| Insufficient payload (model declined to judge) | 0.111 | 0.022 |
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 source (direct Gemma or distilled Codex), 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".