ORCID Profile
0000-0002-3728-6925
Current Organisations
Dortmund University of Applied Sciences and Arts
,
University of the Free State
,
Institute for Medical Informatics, Biometry and Epidemiology (IMIBE); University Hospital Essen; University of Duisburg-Essen
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Publisher: Informa UK Limited
Date: 1995
DOI: 10.3109/09638289509166721
Abstract: The Mitchells Plain Disability Survey was undertaken primarily to expand a community-based rehabilitation programme in an underprivileged South African urban community. This descriptive survey used a proportional stratified random cluster s ling strategy (s le size 2424), with stratification by suburb and clusters consisting of 15 adjacent plots. A household screening questionnaire (based on the WHO disability questionnaire), identified people who reported health problems affecting their functional ability, while a second follow-up interview confirmed disablement status and obtained a medical, disablement and demographic profile of the disabled and ascertained their needs. This paper discusses different methodological issues related to the survey design and emphasizes the need for standardization of methods in the disablement field. S ling issues include s le loss in a multi-staged data collection strategy as well as the non-independence of observations when s ling entire house- holds. The trade-off between studying disability across diagnostic, disablement and age categories, and wide confidence intervals for specific prevalence rates, is discussed. Because of the prohibitive costs validation of disablement status is often omitted in a low-budget project (as this one was), weakening the design of such studies. Even if the 'disabled' are correctly identified, the criteria for identifying respondents determine what type of disablement prevalence will be obtained, Different diagnoses reported on screening yielded different positive predictive values of disability--the most debilitating conditions yielding the highest proportion of disabled people. The quality of the data--evaluated through comparisons of initial and repeat screening interviews, and proxy and self-reporting--is described. There is a need for disability research to continue developing suitable methods for a wide range of purposes. One such is a 'good-enough' survey design which can be implemented rapidly, at relatively low cost, to yield useful results at local level.
Publisher: Springer Science and Business Media LLC
Date: 24-07-2013
Publisher: Elsevier BV
Date: 08-2021
Publisher: AOSIS
Date: 08-06-2023
Abstract: Background: Succinate dehydrogenase-deficient (SDH-deficient) renal cell carcinoma (RCC) is a rare subtype of RCC. Approximately 0.05% – 0.2% of RCCs are SDH-deficient. It is usually associated with a pathogenic germline variant of the enzyme. Although the tumour is often indolent, it has a strong association with hereditary disease, most commonly paraganglioma and/or pheochromocytoma, and genetic testing is advised. Succinate dehydrogenase-deficient RCC is diagnosed by immunohistochemical (IHC) staining for SDH subunit B (SDHB), with loss of staining confirming SDHB deficiency. The incidence of SDH-deficient RCC in South Africa is unknown.Aim: To determine the incidence of SDH-deficient RCC in the Free State Province and its correlation with the worldwide incidence of 0.05% – 0.2%.Setting: Department of Anatomical Pathology, Universitas Academic Hospital and National Health Laboratory Service (NHLS) in Bloemfontein, South Africa.Methods: A retrospective descriptive study was performed. All primary RCCs diagnosed over a 20-year period (1999–2018) were included. An SDHB IHC stain was performed on all cases. A diagnosis of SDH-deficient RCC required loss of staining in all tumour cells in the presence of internal positive controls.Results: The study included 187 RCC cases. Two cases of SDH-deficient RCC were identified, representing an incidence of 1.1%. Both patients were male and were 22 and 44 years of age, respectively.Conclusion: The incidence of SDH-deficient RCC in central South Africa is slightly higher than global findings.Contribution: This study provides new data on SDH-deficient RCC in the South African context.
Location: Germany
Location: Germany
Location: Germany
No related grants have been discovered for Gina Joubert.