Urinary tract infection in geriatric and institutionalized patients
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
The importance of urinary tract infection in elderly populations and some of the unique features in its evaluation and therapy are becoming better recognized. In elderly populations in the community there are concerns about increasing antimicrobial resistance in infecting organisms. In postmenopausal women, the importance of vaginal estrogen deficiency as a factor which promotes urinary tract infection is becoming increasingly recognized, leading to therapeutic strategies other than antimicrobials. For elderly residents of long term care facilities, urinary tract infection is very common, and most frequent in those with the greatest functional impairment. Whilst it is recognized that asymptomatic bacteriuria should not be treated, the diagnosis of urinary tract infection in this population often presents a dilemma. In particular, the urine culture is useful only in excluding urinary tract infection, not in making a diagnosis of symptomatic infection. There has been a tendency to manage all clinical deterioration in long term care facility residents who have positive urine cultures as urinary tract infection, contributing to excess antimicrobial use and heightening the problem of antimicrobial resistance. Recently published guidelines and commentaries attempt to address this problem.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 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 | 0.001 |
| 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