Background: Considering that many recent studies have reported the prevalence of familial multiple sclerosis (FMS), we performed an updated meta-analysis of the worldwide prevalence of FMS by the addition of recent publications.
Methods: A search in PubMed, Scopus, the ISI Web of Science, and Google Scholar was undertaken up to 20 December 2020. The inclusion criteria were based on the CoCoPop approach (condition, context, and population). Meta-analysis of the qualified studies was conducted by comprehensive meta-analysis ver. 2 software.
Results: The pooled prevalence of MS in relatives of 16,179 FMS cases was estimated to be 11.8% (95% CI: 10.7-13) based on a random-effects model. The pooled mean age of disease onset in adult probands was calculated to be 28.7 years (95% CI: 27.2 ± 30.2). Regarding 13 studies that reported the data of FMS in pediatrics (n = 877) and adults (n = 6636), the FMS prevalence in pediatrics and adults was 15.5% (95% CI: 13.8-17.4) and 10.8% (95% CI: 8.1-14.2), respectively. The prevalence of FMS in affected males (n = 5243) and females (n = 11,503) was calculated to be 13.7% (95% CI: 10.1-18.2) and 15.4% (95% CI: 10.3-22.4), respectively. The odds ratio of male/female in FMS cases was not statistically significant (OR = 0.9; 95% CI: 0.6-1.2, P = 0.55). Subgroup analysis demonstrated a significant difference in the prevalence of FMS between the geographical areas (P = 0.007). The meta-regression model indicated that the prevalence of FMS is lower with higher latitude and higher MS prevalence (P < 0.001). In contrast, meta-regression based on prevalence day was not statistically significant (P = 0.29).
Conclusions: The prevalence of FMS is higher in the pediatric group than that of adults, distinct between geographical areas, and diminishes with the increment of MS prevalence and latitude. Also, the symptoms initiate relatively at younger ages in the FMS cases. Interestingly, our analysis unveiled that FMS is not more prevalent in men than women and the risk of MS development in relatives is not higher when the affected proband is male.
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http://dx.doi.org/10.1186/s12883-021-02267-9 | DOI Listing |
Br J Pain
January 2025
Faculty of Medicine and Health Sciences, Norwich Medical School, University of East Anglia, Norwich, UK.
Background: Fibromyalgia Syndrome (FMS) is highly prevalent with a significant associated morbidity and socioeconomic burden. Effective treatments for FMS remain elusive with pharmacological management (including use of opioids) often proving ineffective. There is a need to develop accessible, innovative management approaches to improve patient care.
View Article and Find Full Text PDFMol Cell Biochem
December 2024
Department of Mother and Child Health, Interactive Research School for Health Affairs (IRSHA), Bharati Vidyapeeth (Deemed to Be University), Pune-Satara Road, Pune, 411043, India.
GDM is an increasing global concern, with its etiology not fully understood, though altered placental function is likely to play a role. Placental angiogenesis, essential for sufficient blood flow and nutrient exchange between mother and fetus, may be affected by GDM. However, the role of angiogenic markers in GDM remains unclear.
View Article and Find Full Text PDFHypertension
December 2024
Department of Obstetrics and Gynaecology, School of Clinical Medicine, University of Cambridge, United Kingdom. (J.A.M., U.S., F.G., E.C., D.S.C.-J., G.C.S.S.).
Background: Elevated maternal serum sFLT1 (soluble fms-like tyrosine kinase 1) has a key role in the pathophysiology of preeclampsia. We sought to determine the relationship between the maternal and fetal genome and maternal levels of sFLT1 at 12, 20, 28, and 36 weeks of gestational age (wkGA).
Methods: We studied a prospective cohort of nulliparous women (3968 mother-child pairs).
Neural Netw
December 2024
State Key Laboratory of IoTSC, University of Macau, Taipa, 999078, Macao Special Administrative Region of China. Electronic address:
Distributional Reinforcement Learning (RL) extends beyond estimating the expected value of future returns by modeling its entire distribution, offering greater expressiveness and capturing deeper insights of the value function. To leverage this advantage, distributional multi-agent systems based on value-decomposition techniques were proposed recently. Ideally, a distributional multi-agent system should be fully distributional, which means both the individual and global value functions should be constructed in distributional forms.
View Article and Find Full Text PDFSmall
December 2024
Institute of Biological and Chemical Systems-Functional Molecular Systems (IBCS-FMS), Karlsruhe Institute of Technology (KIT), Hermann-von-Helmholtz-Platz 1, 76344, Eggenstein-Leopoldshafen, Germany.
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