Bibliographic record
Abstract
Unfractionated heparin (UFH) is a series of molecules, and as such has variable pharmacodynamics. Low-molecular-weight heparins were developed to improve both drug pharmacokinetics and dynamics, so as to provide a reliable clinical effect. These are potent agents, but have an increased half-life compared with UFH in dialysis patients, and also require special laboratory monitoring. We switched our chronic hemodialysis patients from unfractionated to low-molecular-weight heparins. Low-molecular-weight heparins proved to be effective in preventing extracorporeal circuit clotting, and safe with fewer bleeding episodes and heparin-induced thrombocytopenia than standard UFH. Indeed, we stopped routine laboratory monitoring because of the lack of side effects, and simply dosed by clinical inspection of the extracorporeal circuit for thrombus, and the time for fistula needle sites to stop bleeding. These agents have become the anticoagulants of choice in Europe for routine outpatient hemodialysis sessions, not only due to reduced drug costs but also due to the reliability of their clinical effect and ease of administration.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.008 |
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".