ArticleMolecular genetics & genomic medicine2019
Genetic biomarkers related to hemarthrosis, inflammation, and cartilage structure in pediatric patients with hemophilic arthropathy.
Article in Molecular genetics & genomic medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed, 4 citations in OpenAlex.
- Genetic variants associated with systemic inflammatory disease associate with temporomandibular symptoms with or without periodontitis.PloS one · 2026Article
- Blood-Induced Arthropathy: A Major Disabling Complication of Haemophilia.Journal of clinical medicine · 2023Review
- Hemophilic arthropathy: Current knowledge and future perspectives.Journal of thrombosis and haemostasis : JTH · 2021Review
- Asymptomatic Joint Bleeding and Joint Health in Hemophilia: A Review of Variables, Methods, and Biomarkers.Journal of blood medicine · 2021Review
- Genetic biomarkers related to hemarthrosis, inflammation, and cartilage structure in pediatric patients with hemophilic arthropathy.Molecular genetics & genomic medicine · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe pathophysiology of hemophilic arthropathy is complex and not completely understood. In this study, we aimed to identify biomarkers that can affect the hemophilic arthropathy severity.
methodsFifty patients were analyzed for biomarker frequencies; in 37 patients, articular symptoms were evaluated based on the physical joint examination score, and in 18, it was based on magnetic resonance imaging. Eight polymorphisms, namely FV 1691G>A, FII 20210G>A, MTHFR 677C>T and 1298A>C, TNFα-308G>A and -238G>A, ACAN VNTR, and IL1RN*2-VNTR were identified.
resultsPatients with the MTHFR 677TT genotype showed a higher number of affected joints (1.83 ± 0.9 vs. 0.55 ± 0.7 for CC; p = .023), whereas those with the MTHFR 1298AC genotype exhibited higher effusion according to two radiologists (0.90 ± 0.31/1.20 ± 0.63 vs. 0.38 ± 0.52/0.50 ± 0.53 for AA genotype; p = .043/0.036, respectively). In addition, patients with the TNFα-308GA genotype had more subchondral cysts (0.75 ± 0.95 vs. 0.07 ± 0.26 for GG genotype; p = .041).
conclusionsThe distribution of risk genotypes for MTHFR and TNFα-308GA suggests their association with clinical parameters of hemophilic arthropathy. Cohort studies are essential to verify these associations.
Indexed as
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.