Low Molecular Weight Heparin and Bleeding in Patients with Severe Renal Failure: A Meta-Analysis.
Bibliographic record
Abstract
Abstract Background: Dose adjustment or monitoring of low molecular weight heparin (LMWH) is commonly recommended in patients with severe renal insufficiency (creatinine clearance [CrCl] ≤ 30 ml/min) but little evidence supports this recommendation. Purpose: To compare the risk of major bleeding in LMWH-treated patients with CrCl ≤ 30 ml/min versus > 30 ml/min using standard weight-adjusted therapeutic LMWH doses, empirically adjusted LMWH doses and prophylactic LMWH doses. Data sources: Electronic databases (MEDLINE, EMBASE, Cochrane Library), reference lists and contact with experts. Study selection: Observational or subgroups of randomized studies that included non-dialyzed patients with varying degrees of renal function who were treated with LMWH and which reported CrCl and major bleeding. Data extraction: Two reviewers independently selected studies and extracted data on patient characteristics, renal function, LMWH treatment and major bleeding. The pooled relative risk (RR) of major bleeding in patients with CrCl ≤ 30 versus > 30 ml/min was calculated by the Mantel-Haenszel method. Data synthesis: In 12 studies involving 4971 patients (10 studies of 4741 patients using enoxaparin; 2 studies of 230 patients using tinzaparin), LMWH significantly increased the risk of major bleeding in patients with CrCl ≤ 30 compared with > 30 ml/min (5.0% vs. 2.4%, RR 2.34, 95% confidence interval [CI]: 1.46 to 3.74; P = 0.0004; number needed to harm [NNH] = 38). When analyzed according to LMWH preparation, increased major bleeding was evident in studies of standard weight-adjusted therapeutic dose enoxaparin (8.3% vs. 2.4%, RR 2.96; 95% CI: 1.63 to 5.37, NNH = 17) but not in studies using empirically adjusted enoxaparin doses (0.9% vs. 1.9%, RR 1.06; 95% CI: 0.23 to 4.97), P for heterogeneity = 0.82. There were insufficient studies using tinzaparin and prophylactic doses of enoxaparin. Limitations: Only 2 LMWH preparations were evaluated and only 2 studies used tinzaparin. Data are observational and the potential for confounding cannot be excluded. Conclusions: Non-dialysis dependent patients with CrCl ≤ 30 ml/min who are treated with therapeutic doses of enoxaparin have an increased risk of major bleeding. Empiric dose reduction of enoxaparin may reduce the risk of bleeding and merits further evaluation. No conclusions can be drawn regarding other LMWHs.
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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 | 0.011 | 0.021 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.012 | 0.039 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".