Systematic review of recent dementia practice guidelines
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: dementia is a highly prevalent acquired cognitive disorder that interferes with activities of daily living, relationships and quality of life. Recognition and effective management strategies are necessary to provide comprehensive care for these patients and their families. High-quality clinical practice guidelines can improve the quality and consistency of care in all aspects of dementia diagnosis and management by clarifying interventions supported by sound evidence and by alerting clinicians to interventions without proven benefit. OBJECTIVE: we aimed to offer a synthesis of existing practice recommendations for the diagnosis and management of dementia, based upon moderate-to-high quality dementia guidelines. METHODS: we performed a systematic search in EMBASE and MEDLINE as well as the grey literature for guidelines produced between 2008 and 2013. RESULTS: thirty-nine retrieved practice guidelines were included for quality appraisal by the Appraisal of Guidelines Research and Evaluation II (AGREE-II) tool, performed by two independent reviewers. From the 12 moderate-to-high quality guidelines included, specific practice recommendations for the diagnosis and/or management of any aspect of dementia were extracted for comparison based upon the level of evidence and strength of recommendation. CONCLUSION: there was a general agreement between guidelines for many practice recommendations. However, direct comparisons between guidelines were challenging due to variations in grading schemes.
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.
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 | 0.087 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 it