Medications & Polypharmacy Influence on Recurrent Fallers in Community: a Systematic Review
Bibliographic record
Abstract
The purpose of this systematic review is to summarize information about the impact different classes of medications and polypharmacy have on recurrent falls, defined as two or more falls in a 12-month period, in community-dwelling older adults. After adjustment for confounders such as age, gender, weight or depression symptoms, the reviewed studies suggested that older adults who use antidepressants, sedatives or hypnotics and anti-epileptics were more likely to experience recurrent falls than non-users. Polypharmacy (use of four or more prescription medications daily) caused 1.5-2 times higher possibility of recurrent falls in older adults. As a high-risk group, recurrent fallers require meaningful intervention. Medications are believed to be a modifiable risk factor in falls prevention; hence, special consideration should be taken to balance the benefit and harm in initiating, continuing or increasing certain classes of medications in elderly recurrent fallers.
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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 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.005 |
| Bibliometrics | 0.006 | 0.008 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".