Polypharmacy, inappropriate prescribing, and deprescribing in older people: through a sex and gender lens
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
Polypharmacy is very common in older adults and increases the risk of inappropriate and unsafe prescribing for older adults. Older adults, particularly women (who make up the majority of this age group), are at the greatest risk for drug-related harm. Therefore, optimising drug prescribing for older people is very important. Identifying potentially inappropriate medications and opportunities for judicious deprescribing processes are intrinsically linked, complementary, and essential for optimising medication safety. This Review focuses on optimising prescribing for older adults by reducing doses or stopping drugs that are potentially harmful or that are no longer needed. We explore how sex (biological) and gender (sociocultural) factors are important considerations in safe drug prescribing. We conclude by providing a practical approach to optimising medication safety that clinicians can routinely apply to the care of their older patients, highlighting how sex and gender considerations inform medication decision making.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.002 |
| 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