Effectiveness of Internet Based Treatment Methods for Symptom Management of Vestibular Disorders: A Systematic Review

Introduction: The objective of this systematic review is to investigate the effectiveness of internet-based and blended therapy for patients with peripheral, central, or mixed vestibular dysfunction based on current research. Methods: Medline, CINAHL Complete, PubMed, and The Cochrane Library were searched from September 2022 to January 2023 using the search terms “vestibular,” “internet,” “computer,” “management,” “online,” “self-efficacy,” “vestibular disorder,” “rehabilitation,” “treatment,” “dizziness,” and “phys* ther*.”Studies were included if they used internet-based interventions for patients with diagnosed vestibular dysfunction caused by pure vestibular pathology. Three independent reviewers performed the selection process based on title, abstract, and full-text reading. In total, 8 studies were selected, three reviewers independently extracted data related to intervention technique, duration of intervention, symptoms relief, and overall outcome. The PEDro and hierarchy of evidence scales were used to assess the methodological quality of selected articles. Results: Of 8 articles, seven were randomized controlled trials (RCTs), and one was a qualitative design study. Hierarchy of evidence rating scores ranged from level 2 to level 3. Six of the articles had a level 2 score, and two articles had a level 3 score. PEDro scores ranged from 2/10 to 8/10, including three 8/10, two 7/10, two 2/10, and one 3/10 scores. Primary outcome measures reviewed in this study include the Vertigo Symptom Scale-Short Form and Dizziness Handicap Inventory. Secondary outcome measures include Dynamic Gait Index, Hospital Anxiety and Depression Scale, Visual Analogue Scale, quality of life measures, and subjective reports. Discussion: Although PEDro scores ranged from poor to good, internet vestibular rehabilitation (IVR) was shown to be an effective form of improvement in reported dizziness, anxiety related to symptoms, and dynamic postural stability. IVR did not significantly improve quality of life or severity of symptoms. Conclusion: Based on present findings, IVR can be recommended to patients as a means to reduce chronic symptoms outside of the clinic.https://digitalcommons.misericordia.edu/research_posters2023/1007/thumbnail.jp

The Botanical Record of Archaeobotany Italian Network - BRAIN: a cooperative network, database and website

The BRAIN (Botanical Records of Archaeobotany Italian Network) database and network was developed by the cooperation of archaeobotanists working on Italian archaeological sites. Examples of recent research including pollen or other plant remains in analytical and synthetic papers are reported as an exemplar reference list. This paper retraces the main steps of the creation of BRAIN, from the scientific need for the first research cooperation to the website which has a free online access since 2015

The Botanical Record of Archaeobotany Italian Network - BRAIN: a cooperative network, database and website

The BRAIN (Botanical Records of Archaeobotany Italian Network) database and network was developed by the cooperation of archaeobotanists working on Italian archaeological sites. Examples of recent research including pollen or other plant remains in analytical and synthetic papers are reported as an exemplar reference list. This paper retraces the main steps of the creation of BRAIN, from the scientific need for the first research cooperation to the website which has a free online access since 2015

The Botanical Record of Archaeobotany Italian Network - BRAIN: a cooperative network, database and website

Con autorización de la revista para autores CSIC[EN] The BRAIN (Botanical Records of Archaeobotany Italian Network) database and network was developed by the cooperation of archaeobotanists working on Italian archaeological sites. Examples of recent research including pollen or other plant remains in analytical and synthetic papers are reported as an exemplar reference list. This paper retraces the main steps of the creation of BRAIN, from the scientific need for the first research cooperation to the website which has a free online access since 2015.Peer reviewe

Accounting for individualized competing mortality risks in estimating postmenopausal breast cancer risk

PURPOSE: Accurate risk assessment is necessary for decision-making around breast cancer prevention. We aimed to develop a breast cancer prediction model for postmenopausal women that would take into account their individualized competing risk of non-breast cancer death. METHODS: We included 73,066 women who completed the 2004 Nurses’ Health Study (NHS) questionnaire (all ≥57 years) and followed participants until May 2014. We considered 17 breast cancer risk factors (health behaviors, demographics, family history, reproductive factors), 7 risk factors for non-breast cancer death (comorbidities, functional dependency), and mammography use. We used competing risk regression to identify factors independently associated with breast cancer. We validated the final model by examining calibration (expected-to-observed ratio of breast cancer incidence, E/O) and discrimination (c-statistic) using 74,887 subjects from the Women’s Health Initiative Extension Study (WHI-ES; all were ≥55 years and followed for 5 years). RESULTS: Within 5 years, 1.8% of NHS participants were diagnosed with breast cancer (vs. 2.0% in WHI-ES, p=0.02) and 6.6% experienced non-breast cancer death (vs. 5.2% in WHI-ES, p<0.001). Using a model selection procedure which incorporated the Akaike Information Criterion, c-statistic, statistical significance, and clinical judgement, our final model included 9 breast cancer risk factors, 5 comorbidities, functional dependency, and mammography use. The model’s c-statistic was 0.61 (95% CI [0.60–0.63]) in NHS and 0.57 (0.55–0.58) in WHI-ES. On average our model under predicted breast cancer in WHI-ES (E/O 0.92 [0.88–0.97]). CONCLUSIONS: We developed a novel prediction model that factors in postmenopausal women’s individualized competing risks of non-breast cancer death when estimating breast cancer risk

A multistage genome-wide association study in breast cancer identifies two new risk alleles at 1p11.2 and 14q24.1 (RAD51L1)

The Cancer Genetic Markers of Susceptibility (CGEMS) initiative has conducted a three-stage genome-wide association study (GWAS) of breast cancer in 9,770 cases and 10,799 controls. In Stage 1, we genotyped 528,173 single nucleotide polymorphisms (SNPs) in 1,145 cases of invasive breast cancer among postmenopausal white women, and 1,142 controls; in Stage 2, 24,909 SNPs with low p values observed in Stage 1 were analyzed in 4,547 cases and 4,434 controls. In Stage 3 we investigated 21 loci in 4,078 cases and 5,223 controls with low p values from Stage 1 and 2 combined. Two novel loci achieved genome-wide significance. A pericentromeric SNP on chromosome 1p11.2, rs11249433, (p=6.74 × 10(-10) adjusted genotype test with 2 degrees of freedom) resides in a large block of linkage disequilibrium neighboring NOTCH2 and FCGR1B and is predominantly associated with estrogen receptor-positive breast cancer. A second SNP, rs999737 on chromosome 14q24.1 (p=1.74 × 10(−7)), localizes to RAD51L1, a gene in the homologous recombination DNA repair pathway, a prior candidate pathway for breast cancer susceptibility. We confirmed previously reported markers on chromosome 2q35, 5q11.2, 5p12, 8q24, 10q26, and 16q12.1. Our results underscore the importance of large-scale replication in the identification of low penetrance breast cancer alleles