Risk factors for catheter‐associated urinary tract infection among hospitalized patients: A systematic review and meta‐analysis of observational studies
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
AIMS: The study aimed to identify the risk factors for catheter-associated urinary tract infection among hospitalized patients. We also tried to explore its potential effect on patient outcomes if possible. BACKGROUND: Catheter-associated urinary tract infection accounts for a large proportion of healthcare-associated infections and remains a considerable threat to patient safety worldwide. DESIGN: A systematic review and meta-analysis of observational studies. DATA SOURCES: We conducted an electronic search in PubMed, EMBASE, Web of Science, and the Cochrane Database of Systematic Reviews for studies published between January 2008-January 2018. REVIEW METHODS: Two reviewers searched the articles and extracted the data independently. The quality of the studies was assessed with the Newcastle-Ottawa Scale. RevMan 5.3 was used to perform the meta-analysis. RESULTS: Ten studies involving a total of 8785 participants with or without catheter-associated urinary tract infection were included. The average incidence of catheter-associated urinary tract infection was 13.79 per 1000 catheter days, with a prevalence rate of 9.33%. The meta-analysis demonstrated that patients at high risk for catheter-associated urinary tract infection were female, had a prolonged duration of catheterization, had diabetes, had previous catheterization, and had longer hospital and ICU stays. Additionally, catheter-associated urinary tract infection was also accompanied by an increase in mortality. CONCLUSIONS: Healthcare staff should focus on the identified risk factors for catheter-associated urinary tract infection. Further research is needed to investigate the microbial isolates and focus on the intervention strategies of catheter-associated urinary tract infection, so as to reduce its incidence and related mortality.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.008 | 0.003 |
| 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) | 0.000 | 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