Bibliographic record
Abstract
PURPOSE OF REVIEW: Catheter-related bacteremia (CRB) and catheter dysfunction are major sources of morbidity and mortality when central venous catheters are used as long-term vascular access in hemodialysis patients. Attempts have been made to minimize these complications by the prophylactic use of catheter locking solutions. This review aims to describe the recent advances in the field of lock solutions and to discuss the benefits and risks associated with the routine use of antimicrobial and/or antithrombotic lock solutions. RECENT FINDINGS: Antithrombotic lock solutions may improve patency and CRB but may be cost-prohibitive. Antimicrobial lock solutions may decrease the incidence of CRB, but their routine use is concerning for the risk of systemic toxicity and the development of resistant organisms. Preliminary results suggest a novel antimicrobial and antithrombotic lock solution may be promising in maintaining patency, while decreasing catheter-related bacteremia. SUMMARY: The ideal catheter lock solution would be one that prevents infections and thrombosis safely and effectively, while being economically viable. Recent developments have led to improvements in the development of catheter locking solutions, but the search for the perfect 'solution' is still ongoing.
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.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.003 |
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".