Evaluation of effect of frailty on warfarin compliance among older patients
Bibliographic record
Abstract
Aim: Warfarin has a narrow therapeutic index. We aimed to evaluate the effect of frailty on compliance to warfarin pharmacotherapy and the attainment of international normalised ratio (INR) goals in patients aged over 65 years receiving warfarin. Method: We recruited 473 elderly subjects aged 65 years and over. Indications for the administration of warfarin and INR values were recorded. All patients were assessed according to the Clinical Frailty Scale of the Canadian Health and Aging Study. Whether or not the target of INR values and the degree of frailty were compared. Results: Of the 473 patients aged 65 years and over, 402 patients were assigned to the non-frail group and 71 patients were assigned to the frail group. When patients were compared according to the attainment of target INR values, a negative correlation between frailty and numerical INR values was observed. Conclusion: It can be said that the presence of frailty negatively affects reaching the target INR values in patients over 65 years of age using warfarin. If patients in this population are indicated for warfarin use, it is necessary to be sure that INR monitoring will be done well.
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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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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 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".