26 resultados para Indiana University, Bloomington. Dept. of Afro-American Studies


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Background: The incidence rates of childhood onset type 1 diabetes are almost universally increasing across the globe but the aetiology of the disease remains largely unknown. We investigated whether birth order is associated with the risk of childhood diabetes by performing a pooled analysis of previous studies. Methods: Relevant studies published before January 2010 were identified from MEDLINE, Web of Science and EMBASE. Authors of studies provided individual patient data or conducted pre-specified analyses. Meta-analysis techniques were used to derive combined odds ratios (ORs), before and after adjustment for confounders, and investigate heterogeneity. Results: Data were available for 6 cohort and 25 case-control studies, including 11 955 cases of type 1 diabetes. Overall, there was no evidence of an association prior to adjustment for confounders. After adjustment for maternal age at birth and other confounders, a reduction in the risk of diabetes in second-or later born children became apparent [fully adjusted OR=0.90 95% confidence interval (CI) 0.83-0.98; P=0.02] but this association varied markedly between studies (I 2=67%). An a priori subgroup analysis showed that the association was stronger and more consistent in children <5years of age (n=25 studies, maternal age adjusted OR=0.84 95% CI 0.75, 0.93; I 2=23%). Conclusion: Although the association varied between studies, there was some evidence of a lower risk of childhood onset type 1 diabetes with increasing birth order, particularly in children aged <5 years. This finding could reflect increased exposure to infections in early life in later born children. Published by Oxford University Press on behalf of the International Epidemiological Association © The Author 2010; all rights reserved.

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Aim: To evaluate the quality of reporting of all diagnostic studies published in five major ophthalmic journals in the year 2002 using the Standards for Reporting of Diagnostic Accuracy (STARD) initiative parameters. Methods: Manual searching was used to identify diagnostic studies published in 2002 in five leading ophthalmic journals, the American Journal of Ophthalmology (AJO), Archives of Ophthalmology (Archives), British Journal of Ophthalmology (BJO), Investigative Ophthalmology and Visual Science (IOVS), and Ophthalmology. The STARD checklist of 25 items and flow chart was used to evaluate the quality of each publication. Results: A total of 16 publications were included (AJO = 5, Archives = 1, BJO = 2, IOVS = 2, and Ophthalmology = 6). More than half of the studies (n = 9) were related to glaucoma diagnosis. Other specialties included retina (n = 4) cornea (n = 2), and neuro-ophthalmology (n = 1). The most common description of diagnostic accuracy was sensitivity and specificity values, published in 13 articles. The number of fully reported items in evaluated studies ranged from eight to 19. Seven studies reported more than 50% of the STARD items. Conclusions: The current standards of reporting of diagnostic accuracy tests are highly variable. The STARD initiative may be a useful tool for appraising the strengths and weaknesses of diagnostic accuracy studies.

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Objective: To evaluate the quality of reporting of diagnostic accuracy studies using optical coherence tomography (OCT) in glaucoma. Design: Descriptive series of published studies. Participants: Published studies reporting a measure of the diagnostic accuracy of OCT for glaucoma. Methods: Review of English language papers reporting measures of diagnostic accuracy of OCT for glaucoma. Papers were identified from a Medline literature search performed in June 2006. Articles were appraised using the 25 items provided by the Standards for Reporting of Diagnostic Accuracy (STARD) initiative. Each item was recorded as full, partially, or not reported. Main Outcome Measures: Degree of compliance with the STARD guidelines. Results: Thirty papers were appraised. Eight papers (26.7%) fully reported more than half of the STARD items. The lowest number of fully reported items in a study was 5 and the highest was 17. Descriptions of key aspects of methodology frequently were missing. For example, details of participant sampling (e.g., consecutive or random selection) were described in only 8 (26.7%) of 30 publications. Measures of statistical uncertainty were reported in 18 (60%) of 30 publications. No single STARD item was fully reported by all the papers. Conclusions: The standard of reporting of diagnostic accuracy studies in glaucoma using OCT was suboptimal. It is hoped that adoption of the STARD guidelines will lead to an improvement in reporting of diagnostic accuracy studies, enabling clearer evidence to be produced for the usefulness of OCT for the diagnosis of glaucoma. © 2007 American Academy of Ophthalmology.

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A north/south discontinuity along the northeastern coast of North America in the genetic structure of the American lobster (Homarus americanus) was detected using a suite of 13 microsatellite loci assessed using spatial analyses. Population genetic data laid over existing data on physiographic changes and sea-surface temperatures were used to reconstruct the Pleistocene distribution of this species. A postglacial northern-edge colonization model best explains the relative genetic homogeneity of the northern region compared to the southern region centred in the Gulf of Maine. Population genetic analyses identified significant structure (range of standardized theta 0-0.02) but no significant evidence for isolation by distance. The novel application of spatial genetic analyses to a marine species allowed us to interpret these results by providing a greater insight into the evolutionary factors responsible for shaping the genetic structure of this species throughout is natural range.

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OBJECTIVE - The aim if the study was to investigate whether children born to older mothers have an increased risk of type 1 diabetes by performing a pooled analysis of previous studies using individual patient data to adjust for recognized confounders.
RESEARCH DESIGN AND METHODS - Relevant studies published before June 2009 were identified from MEDLINE, Web of Science, and EMBASE. Authors of studies were contacted and asked to provide individual patient data or conduct prespecified analyses. Risk estimates of type 1 diabetes by maternal age were calculated for each study, before and after adjustment for potential confounders. Meta-analysis techniques were used to derive combined odds ratios and to investigate heterogeneity among studies.
RESULTS - Data were available for 5 cohort and 25 case-control studies, including 14,724 cases of type 1 diabetes. Overall, there was, on average, a 5% (95% CI 2-9) increase in childhood type 1 diabetes odds per 5-year increase in maternal age (P = 0.006), but there was heterogeneity among studies (heterogeneity I 2 = 70%). In studies with a low risk of bias, there was a more marked increase in diabetes odds of 10% per 5-year increase in maternal age. Adjustments for potential confounders little altered these estimates. CONCLUSIONS - There was evidence of a weak but significant linear increase in the risk of childhood type 1 diabetes across the range of maternal ages, but the magnitude of association varied between studies. A very small percentage of the increase in the incidence of childhood type 1 diabetes in recent years could be explained by increases in maternal age.