Evidence map›Paper›PMID 19916994›Full record

Trial reportBritish journal of clinical pharmacology2009

Modelling the occurrence and severity of enoxaparin-induced bleeding and bruising events.

Michael A Barras, Stephen B Duffull, John J Atherton, Bruce Green

Open access · bronzeAbstract readRandomized Controlled Trial
In one paragraph

Trial report in British journal of clinical pharmacology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. The use of mechanistic evidence in drug approval.Journal of evaluation in clinical practice · 2018
    Article
  4. Article
  5. Article
  6. A Review of the Toxicologic Implications of Obesity.Journal of medical toxicology : official journal of the American College of Medical Toxicology · 2015
    Review
  7. What do we learn from repeated population analyses?British journal of clinical pharmacology · 2015
    Review
  8. Pharmacodynamic models for discrete data.Clinical pharmacokinetics · 2012
    Review
  9. Review
  10. Mechanism-based pharmacodynamic modeling.Methods in molecular biology (Clifton, N.J.) · 2012
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 4 institutions in 2 countries.

Michael A BarrasSchool of Pharmacy, University of Queensland, Brisbane, Queensland, Australia.
Stephen B Duffull
John J Atherton
Bruce Green
IP Australia · AUMater Health Services · AURoyal Brisbane and Women's Hospital · AUUniversity of Otago · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsTo develop a population pharmacokinetic-pharmacodynamic model to describe the occurrence and severity of bleeding or bruising as a function of enoxaparin exposure.

methodsData were obtained from a randomized controlled trial (n = 118) that compared conventional dosing of enoxaparin (product label) with an individualized dosing regimen. Anti-Xa concentrations were sampled using a sparse design and the size, location and type of bruising and bleeding event, during enoxaparin therapy, were collected daily. A population pharmacokinetic-pharmacodynamic analysis was performed using nonlinear mixed effects techniques. The final model was used to explore how the probability of events in patients with obesity and/or renal impairment varied under differing dosing strategies.

resultsThree hundred and forty-nine anti-Xa concentrations were available for analysis. A two-compartment first-order absorption and elimination model best fit the data, with lean body weight describing between-subject variability in clearance and central volume of distribution. A three-category proportional-odds model described the occurrence and severity of events as a function of both cumulative enoxaparin AUC (cAUC) and subject age. Simulations showed that individualized dosing decreased the probability of a bleeding or major bruising event when compared with conventional dosing, which was most noticeable in subjects with obesity and renal impairment.

conclusionsThe occurrence and severity of a bleeding or major bruising event to enoxaparin, administered for the treatment of a thromboembolic disease, can be described as a function of both cAUC and subject age. Individualized dosing of enoxaparin will reduce the probability of an event.

Indexed as

AnticoagulantsDose-Response Relationship, DrugEnoxaparinFemaleHemorrhageHumansKidneyKidney DiseasesMaleMetabolic Clearance RateModels, BiologicalObesityRisk FactorsThromboembolismAnticoagulantsEnoxaparin

Identifiers

PMID19916994
PMCPMC2791976
OpenAlexW2087433598

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.