scholarly journals 100+ COVID-19 websites and apps: yet a lack of granular data from India

2021 ◽  
Author(s):  
Varun Vasudevan ◽  
Abeynaya Gnanasekaran ◽  
Bhavik Bansal ◽  
Chandrakant Lahariya ◽  
Giridara Gopal Parameswaran ◽  
...  

— A comprehensive analysis of more than 100 digital platforms (web and mobile) from India shows a lack of granular data in the reporting of COVID-19 surveillance, vaccination monitoring, and bed availability.— As of 5 June 2021, age and gender distribution is available for less than 22% of cases and deaths; and comorbidity distribution is available for less than 30% of deaths.— Total vaccination stratified by healthcare workers, frontline workers, and age brackets is reported by only 14 out of the 36 subnationals (states and union territories) in India. — There is no reporting of adverse events following immunization by vaccine and event type. — By showing what, where, and how much data is missing, we join the Indian scientific community in pushing for a more responsible and transparent reporting of granular data.

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1133.2-1134
Author(s):  
D. Freier ◽  
E. Wiebe ◽  
R. Biesen ◽  
T. Buttgereit ◽  
S. Hermann ◽  
...  

Background:The prevalence of osteoporosis in inflammatory rheumatic diseases such as psoriatic arthritis (PsA) has not been sufficiently clarified yet, and the data in the literature are heterogeneous. In addition, it is still unclear to what extent patients with PsA differ in terms of bone density from patients with other forms of spondyloarthritis such as ankylosing spondylitis (AS).Objectives:In an interim analysis of the Rh-GIOP Study (ClinicalTrials.gov IdentifierNCT02719314), we observed that PsA patients demonstrated more frequently normal bone density than any other patient group analyzed (suffering from e.g. rheumatoid arthritis or systemic sclerosis). The main objective of this investigation was to compare bone density data from patients with PsA and AS, as both diseases belong to the spondyloarthritis group. 1100 patients with inflammatory rheumatic diseases provided the basis of Rh-GIOP, a prospective study monitoring glucocorticoid (GC)-induced osteoporosis in patients with rheumatic diseases. Rh-GIOP was established in 2015 at the Charité University Hospital. Bone mineral density data were measured by dual x-ray absorptiometry (DXA).Methods:92 patients with PsA (65% female) were compared with 51 patients suffering from AS (35% female). Potential risk and protective factors (e.g. data on GC treatment, anti-rheumatic therapy), laboratory parameters (e.g. Vitamin D, alkaline phosphatase, calcium and inflammatory markers) and functional status (e.g. Health Assessment Questionnaire, sporting activities, back pain) were compared between these groups. Statistical analysis was performed descriptively using mean and standard deviation, t-tests for metric variables, and chi-square tests for nominal variables. Due to the heterogeneous gender distribution, an additional statistical matching was performed to compare patients matched by age and gender.Results:Patients with PsA displayed significantly higher minimal T-scores than patients with AS (p=0.003) even though patients with AS were younger and more often male (p<0.001). AS patients showed a higher frequency of osteopenic bone densities (p<0.05), however, no differences in the frequency of osteoporotic bone densities were found. Body-mass-index (BMI) was significantly higher (p<0.001) in PsA patients. PsA patients demonstrated a higher frequency of csDMARD use (p<0.001). Additional analyses among PsA patients with and without csDMARDs revealed also significantly higher minimal T-scores in PsA patients taking csDMARDs (90% Methotrexate), and both groups showed the same average of age and gender distribution. Furthermore, AS patients complained significantly more often of back pain (96 % vs. 74%, p=0.001) than PsA patients. No differences in GC use or cumulative GC dose were found. All results could be confirmed when groups were matched by age and gender.Conclusion:Our results demonstrate that patients with PsA display higher bone density compared to age and gender matched patients with ankylosing spondylitis. Possible influencing factors could be the higher frequency of csDMARD use, higher BMI or the lower frequency of back pain in PsA patients. Multivariate tests and additional biomarker investigations in larger cohorts are necessary to corroborate these findings and to identify underlying pathogenic differences which could serve for an explanation.Disclosure of Interests:Desiree Freier: None declared, Edgar Wiebe: None declared, Robert Biesen: None declared, Thomas Buttgereit: None declared, Sandra Hermann: None declared, Timo Gaber: None declared, Frank Buttgereit Grant/research support from: Amgen, BMS, Celgene, Generic Assays, GSK, Hexal, Horizon, Lilly, medac, Mundipharma, Novartis, Pfizer, Roche, and Sanofi.


Author(s):  
Luciana Albuquerque ◽  
Catarina Oliveira ◽  
António Teixeira ◽  
Pedro Sa-Couto ◽  
Daniela Figueiredo

2021 ◽  
Vol 6 (2) ◽  
pp. 75-81
Author(s):  
A. N. Volkov ◽  
E. V. Tsurkan

Aim. To analyze age and gender distribution in patients with Gilbert's syndrome.Materials and Methods. We consecutively recruited 115 patients with Gilbert's syndrome. All patients underwent genotyping of the rs8175347 polymorphism within the UGT1A1 gene using allele-specific polymerase chain reaction to confirm the diagnosis.Results. The age of initial diagnosis ranged from 3 years to 71 years, with the majority (44.3%) of cases detected ≤ 20 years of age. Mean ± standard error and median age of the diagnosis were 30.03 ± 1.72 years and 23 years. Despite the proportion of females and males among patients was similar, age distribution at primary diagnosis was significantly different across the genders. In women, Gilbert's syndrome was most frequently detected between 11 and 20 years (23.1%) and between 51 and 60 years (19.2%). In contrast, male adolescents were more prone to the development of Gilbert's syndrome, as 47.6% of male patients belonged to this age category.Conclusions. Variable age of Gilbert's syndrome diagnosis is probably determined by an individual combination of genetic causes (e.g., mutation of the UGT1A1 gene) and additional risk factors. Adolescents compose a significant proportion of patients. Because of relatively mild disease in many patients and unpredictability of the provoking factors, primary detection of Gilbert's syndrome can be delayed. Differences in age of Gilbert's syndrome diagnosis across the genders can be partially explained by organizational reasons associated with the current screening programs. 


2006 ◽  
Vol 30 (6) ◽  
pp. 745-750 ◽  
Author(s):  
Christina Schmitt ◽  
Brigitta Balogh ◽  
Alexander Grundt ◽  
Christian Buchholtz ◽  
Albrecht Leo ◽  
...  

Intervirology ◽  
2013 ◽  
Vol 56 (3) ◽  
pp. 206-212 ◽  
Author(s):  
Arnolfo Petruzziello ◽  
Nicola Coppola ◽  
Anna Maria Diodato ◽  
Vincenzo Iervolino ◽  
Rosa Azzaro ◽  
...  

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