Nurse’s bedside screening of dysphagia: an umbrella review
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
INTRODUCTION: Dysphagia often results in serious, poor health outcomes. Nurses have an important role in assessing dysphagia. Therefore, they need reliable and effective screening tools to detect dysphagia. The purpose of this umbrella review is to locate the most valid, reliable, and usable bedside screening tools that allow nurses to identify dysphagia in institutionalized patients. METHODS: Umbrella Review as suggested by the Joanna Briggs Institute. Inclusion criteria were: systematic reviews of randomized controlled trials or cross-sectional studies. We excluded: pediatric and psychiatric patients. We searched on PubMed, CINAHL, Scopus, Cochrane Library, the Joanna Briggs Institute Database of Systematic Reviews and Implementation Reports, and the Joanna Briggs Institute Evidence-Based Practice Database. RESULTS: Six reviews were included. Four tools were reported in all the reviews: 3 oz swallowing water test, Mann Assessment of Swallowing Ability, Toronto Bedside Swallowing Screening Test, Gugging Swallowing Screen. They have shown fair to good sensitivity and specificity. The reviews analysed did not allow for a comparative analysis between instruments, which may be hindering the selection of the optimal instrument for clinical practice. CONCLUSIONS: Almost all reviews have considered stroke patients. The next steps will be to determine if there is a tool applicable in multiple settings with different patients and if this intervention is cost-effective.
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 | 0.006 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 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