Comparative safety and efficacy of pharmacological and non-pharmacological interventions for the behavioral and psychological symptoms of dementia: protocol for a systematic review and network meta-analysis
Bibliographic record
Abstract
BACKGROUND: Behavioral and psychological symptoms of dementia (BPSD) are highly prevalent in patients with dementia. Both pharmacological and non-pharmacological strategies are commonly used to treat these symptoms, but their comparative safety and efficacy is unknown. METHODS: We will conduct a systematic review of the published and unpublished literature to retrieve all articles pertaining to outcomes of safety and efficacy associated with pharmacological and non-pharmacological treatments of BPSD for patients living in the community and institutionalized care settings. Our primary outcome of efficacy is a change in aggression. Our primary outcome of safety will be risk of fracture. These primary outcomes were chosen by stakeholders involved in the care of patients experiencing BPSD. Possible secondary outcomes of efficacy will include a change in agitation, depressive symptoms, and night-time behaviors. Possible secondary outcomes of safety will include the risk of stroke, falls, and mortality. All article screening, data abstraction, and risk of bias appraisal will be completed independently by two reviewers. If the assumption of transitivity is valid and the evidence forms a connected network, Bayesian random-effects pairwise and network meta-analyses (NMAs) will be conducted. Relative treatment rankings will be reported with mean ranks and the surface under the cumulative ranking curve. DISCUSSION: We will identify the safest and most efficacious treatment strategies for patients with BPSD from among our most highly ranked treatments. The results of this study will be used to guide decision-making and improve patient care. SYSTEMATIC REVIEW REGISTRATION: PROSPERO registry number CRD42017050130.
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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 | 0.086 | 0.122 |
| Meta-epidemiology (narrow) | 0.008 | 0.005 |
| Meta-epidemiology (broad) | 0.026 | 0.041 |
| Bibliometrics | 0.012 | 0.010 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.006 | 0.005 |
| Research integrity | 0.008 | 0.008 |
| Insufficient payload (model declined to judge) | 0.055 | 0.006 |
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".