ArticleHospital pharmacy2019
Therapeutic Enoxaparin in the Morbidly Obese Patient: A Case Report and Review of the Literature.
Article in Hospital pharmacy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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.
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.
Who cites it
2 citing papers in PubMed, 5 citations in OpenAlex.
- A Narrative Review of Thromboprophylaxis in Obese Patients Undergoing Surgery: What Do You Need to Know?Cureus · 2025Review
- Anticoagulation approach in morbid obesity: a comprehensive review on venous thromboembolism management.Frontiers in pharmacology · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Enoxaparin is a low molecular weight heparin commonly used in the treatment of venous thromboembolisms (VTEs); however, evidence on optimal empiric dosing recommendations are lacking in patients with morbid obesity. Utilization of an absolute dose cap, anti-Xa monitoring, and reduced empiric dosing are among the techniques used in this population. We describe a case of a morbidly obese man (body-mass index, BMI: 68.2 kg/m
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Registered trials
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.