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 The Clinical Frailty Scale (CFS) is a clinical judgement-based frailty tool developed from the Canadian Study of Health and Aging. Many studies on the measurement of frailty and its effect on clinical outcomes have been conducted on patients hospitalized, especially in intensive care units. The purpose of this study is to examine the relationship between polypharmacy and frailty on outpatient older adult patients in primary care. Materials and Method This cross-sectional study included 298 patients who were aged ≥65 years and admitted to Yenimahalle Family Health Center between May-2022 and July-2022. Frailty was evaluated by using CFS. Polypharmacy was defined as five medications or more and “excessive polypharmacy” as 10 medications or more. The medications below five are grouped as “no polypharmacy”. Results There was a statistically significance between age groups, gender, smoking status, marital status, polypharmacy status, and FS ( p = .003 and η 2 : .20; p < .001 and Cohen d: .80; p = .018 and Cohen d: .35; p < .001 and Cohen d: 1.10 and p < .001 and η 2 : 1.45 respectively). A strong, positive correlation was found between polypharmacy and the frailty score. Conclusion Polypharmacy, especially excessive polypharmacy, may be a promising adjunct to frailty in identifying older patients whose health is more likely to worsen. Providers in primary care should also consider frailty when prescribing drugs.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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