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  • 1
    In: International Journal of Urology, Wiley, Vol. 25, No. 5 ( 2018-05), p. 421-428
    Abstract: To quantify public and academic interest in the urological field using a novel new media‐based methodology. Methods We systematically measured public and academic interest in 56 urological keywords and combined in nine subspecialties. Public interest was quantified as video views on YouTube. Academic interest was quantified as article citations using Microsoft Academic Search. The public‐to‐academic interest ratio was calculated for a comparison of subspecialties as well as for diseases and treatments. Results For the selected 56 urological keywords, we found 226 617 591 video views on YouTube and 2 146 287 citations in the academic literature. The public‐to‐academic interest ratio was highest for the subspecialties robotic urology (ratio 6.3) and andrological urology (ratio 4.6). Prostate cancer was the central urological disease combining both a high public (20% of all video views) and academic interest (26% of all citations, ratio 0.8). Further diseases/treatments of high public interest were premature ejaculation (ratio 54.4), testicular cancer (ratio 11.4), erectile dysfunction (ratio 5.5) and kidney transplant (ratio 3.7). Urological treatments had a higher public‐to‐academic interest ratio (median ratio 0.25) than diseases (median ratio 0.05; P = 0.029). Conclusions A quantification of academic and public interest in the urological field is feasible using a novel new media‐based methodology. We found several mismatches in public versus academic interest in urological diseases and treatments, which has implications for research strategies, conference planning and patient information projects. Regular re‐assessments of the public and academic interest landscape can contribute to detecting and proving trends in the field of urology.
    Type of Medium: Online Resource
    ISSN: 0919-8172 , 1442-2042
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2018
    detail.hit.zdb_id: 2009793-1
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  • 2
    Online Resource
    Online Resource
    Wiley ; 2020
    In:  Neurourology and Urodynamics Vol. 39, No. 1 ( 2020-01), p. 440-446
    In: Neurourology and Urodynamics, Wiley, Vol. 39, No. 1 ( 2020-01), p. 440-446
    Abstract: The aim of this study is comprehensive analysis of the Twitter activity on #Incontinence. Material and Methods The following six functional‐urology hashtags on Twitter were analyzed from 2015 to 2018 to gain a comprehensive insight into the topic: #Incontinence, #InterstitialCystitis, #OAB, #FPMRS, #BPH, and #UroBPH. For the Twitter analysis, Symplur Signals was used, which is a health care social media analytics tool. Results In total 191 383 tweets by 54 094 users in 2015 through 2018 were analyzed. A rise in the number of tweets could be identified for all six analyzed hashtags on functional urology, in summary, the numbers raised from 25 629 tweets in 2015 to 66 551 tweets in 2018. For the hashtag incontinence (#Incontinence), the number of tweets raised from 13 823 in 2015 to 19 996 in 2018 (+44.7%). Main influencers on functional urology topics identified by the Symplur algorithm were individuals from the health care sector in 44.6% of the cases and health care organizations in 36.5% of the cases, whereas for #Incontinence, only 7% of influencers were patients in 2018. The ten most common words connected to #Incontinence were Incontinence, Urinary, Women, Help, New, Bladder, Stress, Treatment, Pelvic, and Sex . Of the tweets, 66% were categorized as positive statements and 34% were categorized as negative. Conclusion Social media is an emerging tool of communication in urology, whereas discussions on #Incontinence are underrepresented compared to the high prevalence of urinary incontinence. In addition, patients’ activity is low.
    Type of Medium: Online Resource
    ISSN: 0733-2467 , 1520-6777
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2020
    detail.hit.zdb_id: 1500793-5
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  • 3
    In: Journal of Biogeography, Wiley, Vol. 48, No. 5 ( 2021-05), p. 1183-1199
    Abstract: Deserts are generally perceived as areas of low diversity, and hence receive little attention from researchers and conservationists. Squamates are the dominant group of vertebrates in arid regions, and as such represent an ideal model to study biodiversity patterns in these areas. We examine spatial patterns of diversity, evolutionary history and endemism of terrestrial squamates of the Arabian Peninsula and test hypotheses on the role of topography and history of isolation so as to identify possible environmental drivers of diversification. Location The Arabian Peninsula. Taxon Squamate reptiles (Squamata; lizards and snakes). Methods We generated distribution maps for all Arabian squamate species (including yet undescribed) and reconstructed their phylogenetic relationships using existing and newly produced genetic data for nearly all the species. We assessed patterns of the distribution of species richness, phylogenetic diversity and phylogenetic endemism across the peninsula to identify areas that could be considered evolutionary or endemicity hotspots for squamates. We evaluated community turnover across the peninsula and assessed the possible environmental drivers affecting the diversity of Arabian squamates in a regression framework. Results The main hotspots of Arabian squamate diversity are mostly along the mountains that rim the peninsula while the most arid, central regions support a low diversity of species. The distribution of the phylogenetic diversity mirrors that of the species richness. Phylogenetic endemism is also highest in the mountains, especially when only endemic species are analysed. The deserts of northern Arabia are poor in terms of species richness and they show low connectivity to the peninsular communities. Topographic heterogeneity is the strongest predictor for Arabian squamates, followed by elevation. There is no correlation between richness and temperature. Main conclusions The mountains of Arabia support rich and unique squamate communities that are dominated by local radiations of closely related and narrow‐ranging species. In particular, the Asir Mountains of SW Arabia, Dhofar Province of Oman and the Hajar Mountains of northern Oman and UAE show unprecedented levels of squamate endemism and phylogenetic endemism. While many generalist species range across Arabia, a low number of species is shared between the peninsula and mainland Asia, indicating an effective isolation of the Arabian fauna. Squamate richness is highest in heterogeneous, topographically complex habitats.
    Type of Medium: Online Resource
    ISSN: 0305-0270 , 1365-2699
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2021
    detail.hit.zdb_id: 2020428-0
    detail.hit.zdb_id: 188963-1
    SSG: 12
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  • 4
    In: Molecular Genetics & Genomic Medicine, Wiley, Vol. 7, No. 3 ( 2019-03)
    Abstract: Autosomal recessive congenital ichthyosis (ARCI) is a genetically and phenotypically heterogeneous skin disease, associated with defects in the skin permeability barrier. Several but not all genes with underlying mutations have been identified, but a clear correlation between genetic causes and clinical picture has not been described to date. Methods Our study included 19 families from Saudi Arabia, Yemen, and Pakistan. All patients were born to consanguineous parents and diagnosed with ARCI. Mutations were analyzed by homozygosity mapping and direct sequencing. Results We have detected mutations in all families in five different genes: TGM1 , ABCA12 , CYP4F22 , NIPAL4 , and ALOXE3 . Five likely pathogenic variants were unknown so far, a splice site and a missense variant in TGM1 , a splice site variant in NIPAL4 , and missense variants in ABCA12 and CYP4F22 . We attributed TGM1 and ABCA12 mutations to the most severe forms of lamellar and erythematous ichthyoses, respectively, regardless of treatment. Other mutations highlighted the presence of a phenotypic spectrum in ARCI. Conclusion Our results contribute to expanding the mutational spectrum of ARCI and revealed new insights into genotype/phenotype correlations. The findings are instrumental for a faster and more precise diagnosis, a better understanding of the pathophysiology, and the definition of targets for more specific therapies for ARCI.
    Type of Medium: Online Resource
    ISSN: 2324-9269 , 2324-9269
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2019
    detail.hit.zdb_id: 2734884-2
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  • 5
    In: International Journal of Dermatology, Wiley, Vol. 56, No. 7 ( 2017-07), p. 726-732
    Abstract: Gathering health information from Internet websites is increasingly utilized by patients. No data exist about hidradenitis suppurativa ( HS )‐related online health information. Thus, we aimed to study the quality, popularity, readability, and timeliness of the most frequented websites on HS . Methods Google Trends was used to evaluate the public interest in HS . An Internet search on Google was performed for the terms “hidradenitis suppurativa,” “acne inversa,” and “Verneuil's disease.” Readability scores, HON code quality certification, Alexa popularity rank, and content were assessed. Results Google search queries on HS have steadily risen in the last 10 years. The website analysis revealed 39 unique websites, which were difficult to read. Ten websites (26%) had HON code quality certification, and the median ( IQR ) Alexa popularity rank was 48871 (2333–361275). Thirteen websites (33%) yielded disease‐specific photos with a median rating between “quite useful” and “uncertain.” A therapy option with adalimumab was mentioned on 11 websites (28%). Conclusions In addition to an increasing interest, we found a broad variation in the quality, readability, popularity, and timeliness of content on HS ‐related websites. Improvement of the quality and readability of HS ‐related websites is desirable to potentially raise disease awareness and contribute to an earlier presentation of patients suffering with undiagnosed HS .
    Type of Medium: Online Resource
    ISSN: 0011-9059 , 1365-4632
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2017
    detail.hit.zdb_id: 2020365-2
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  • 6
    In: Journal of Magnetic Resonance Imaging, Wiley, Vol. 56, No. 2 ( 2022-08), p. 368-379
    Abstract: Nonalcoholic fatty liver disease (NAFLD) is rapidly increasing worldwide. It is subdivided into nonalcoholic fatty liver (NAFL) and the more aggressive form, nonalcoholic steatohepatitis (NASH), which carries a higher risk of developing fibrosis and cirrhosis. There is currently no reliable non‐invasive method for differentiating NASH from NAFL. Purpose To investigate the ability of magnetic resonance imaging (MRI)‐based imaging biomarkers to diagnose NASH and moderate fibrosis as well as assess their repeatability. Study Type Prospective. Subjects Sixty‐eight participants (41% women) with biopsy‐proven NAFLD (53 NASH and 15 NAFL). Thirty participants underwent a second MRI in order to assess repeatability. Field Strength/Sequence 3.0 T; MR elastography ( MRE ) (a spin‐echo echo‐planar imaging [ SE‐EPI ] sequence with motion‐encoding gradients), MR proton density fat fraction ( PDFF ) and R2 * mapping (a multi‐echo three‐dimensional gradient‐echo sequence), T1 mapping (a single‐point saturation‐recovery technique), and diffusion‐weighted imaging ( SE‐EPI sequence). Assessment Quantitative MRI measurements were obtained and assessed alone and in combination with biochemical markers (cytokeratin‐18 [CK18] M30, ala nine transaminase [ALT], and aspartate transaminase [AST] ) using logistic regression models. Models that could differentiate between NASH and NAFL and between moderate to advanced fibrosis (F2–4) and no or mild fibrosis (F0–1), based on the histopathological results, were identified. Statistical Tests Independent samples t ‐test, Pearson's chi‐squared test, area under the receiver operating characteristic curve (AUROC), Spearman's correlation, intra‐individual coefficient of variation, and intraclass correlation coefficient (ICC). Statistical significance was set at P   〈  0.05. Results There was a significant difference between the NASH and NAFL groups with liver stiffness assessed with MRE, CK18 M30, and ALT, with an AUROC of 0.74, 0.76, and 0.70, respectively. Both MRE and PDFF contributed significantly to a bivariate model for diagnosing NASH (AUROC = 0.84). MRE could significantly differentiate between F2–4 and F0–1 (AUROC = 0.74). A model combining MRE with AST improved the diagnosis of F2–4 (AUROC = 0.83). The ICC for repeatability was 0.94 and 0.99 for MRE and PDFF, respectively. Data Conclusion MRE can potentially diagnose NASH and differentiate between fibrosis stages. Combining MRE with PDFF improves the diagnosis of NASH. Level of Evidence 2 Technical Efficacy Stage 2
    Type of Medium: Online Resource
    ISSN: 1053-1807 , 1522-2586
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2022
    detail.hit.zdb_id: 1497154-9
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