ReviewDrugs - real world outcomes2025
Investigating the Relationship Between Anti-seizure Medications and Bleeding Disorders: A Comprehensive Review of the Current Literature.
Review in Drugs - real world outcomes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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
6 citing papers in PubMed.
- Antiepileptic drug therapy in companion animals: New perspectives on clinical pathology monitoring.Veterinary and animal science · 2026Review
- Development and validation of a nomogram for predicting thrombocytopenia in sepsis patients treated with linezolid.BMC pharmacology & toxicology · 2026Article
- Pharmacovigilance assessment of drug-induced aplastic anemia: analysis of the FDA adverse event reporting system.International journal of clinical pharmacy · 2025Article
- Sodium Valproate-Associated Thrombocytopenia in Antiepileptic Drug Polypharmacy: A Case Report and Review of the Literature.The American journal of case reports · 2025Review
- Atypical Intra-Oral Lesions in a Young Epileptic Patient: A Case Report.Clinical case reports · 2025Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Anti-seizure medications (ASMs) are specific types of anticonvulsants used to treat epileptic seizures. However, several studies have shown an association between ASMs and an increased risk of hematological disorders, such as thrombocytopenia, aplastic anemia, and platelet function disorders leading to prolonged bleeding times. This review explores the existing literature on this topic, investigating a wide variety of ASMs, ranging from first-generation medications to newer ones. A comprehensive search was conducted on all the currently approved ASMs using PubMed and Google Scholar: review articles, clinical trials, meta-analysis, observational studies, case reports, and relevant animal studies were identified. We extracted 15 ASMs including valproic acid (VPA), carbamazepine, phenytoin, phenobarbital, diazepam, clonazepam, lamotrigine, levetiracetam, oxcarbazepine, felbamate, topiramate, pregabalin, lacosamide, cannabidiol (CBD), and perampanel that contain considerable literature regarding different coagulopathies. An in-depth review of over 140 studies revealed a robust association between ASM-induced changes and the onset of bleeding disorders via several different mechanisms. Polytherapy, the use of multiple ASMs, also emerged as a significant risk factor for the development of coagulopathies. This review highlights the potential link between ASMs and bleeding disorders, emphasizing the importance of considering this risk during treatment planning. By understanding these associations, healthcare providers can optimize patient outcomes and minimize bleeding risks. Additionally, this review identifies the need for further research to bridge current knowledge gaps in clinical pharmacology related to ASMs and bleeding disorders.
Identifiers
What OpenQuestion holds
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.