Assessing the impact of misclassification when comparing prevalence data: A novel sensitivity analysis approach

Background: A simple sensitivity analysis technique was developed to assess the impact of misclassification and verify observed prevalence differences between distinct populations. Methods: The prevalence of self-reported comorbid diseases in 4,331 women with surgically-diagnosed endometriosis was compared to published clinical and population-based prevalence estimates. Disease prevalence misclassification was assessed by assuming over-reporting in the study sample and under-reporting in the general (comparison) population. Over- and under-reporting by 10%, 25%, 50%, 75%, and 90% was used to create a 5×5 table for each disease. The new prevalences represented by each table cell were compared by p-values, prevalence odds ratios, and 95% confidence intervals. Results: Three misclassification patterns were observed: 1) differences remained significant except at high degrees (\u3e50%) of misclassification; 2) minimal (10%) misclassification negated any observed difference; and 3) with some (25-50%) misclassification, the difference disappeared, and the direction of significance changed at higher levels (\u3e50%). Conclusions: This sensitivity analysis enabled us to verify observed prevalence differences. This useful, simple approach is for comparing prevalence estimates between distinct populations

Dimensions of biodiversity in Chesapeake Bay demersal fishes: patterns and drivers through space and time

Biodiversity has typically been described in terms of species richness and composition, but theory and growing empirical evidence indicate that the diversity of functional traits, the breadth of evolutionary relationships, and the equitability with which individuals or biomass are distributed among species better characterize patterns and processes within ecosystems. Yet, the advantages of including such data come at the expense of measuring traits, sequencing genes, and counting or weighing individuals, and it remains unclear whether this greater resolution yields substantial benefits in describing diversity. We summarized a decade of high-resolution trawl data from a bimonthly trawl survey to investigate spatial and seasonal patterns of demersal fish diversity in the Chesapeake Bay, USA, with the goal of identifying areas and times of mismatch between different dimensions of diversity, and their response to environmental forcing. We found moderate to strong positive relationships among all metrics of diversity, and that functional and phylogenetic differences were well-reflected in an index derived from taxonomic (Linnaean) hierarchy. Compared with species richness and species diversity, functional, phylogenetic, and taxonomic indices peaked later in the year, which was a consequence of the distribution of biomass among functionally and evolutionarily divergent species. Generalized additive models revealed that spatial, temporal, and environmental variables explained roughly similar proportions of deviance across all aspects of diversity, suggesting that these three factors do not differentially affect the functional and phylogenetic aspects of community structure. We conclude that an index of diversity derived from taxonomic hierarchy served well as a practical surrogate for functional and phylogenetic diversity of the demersal fish community in this system. We also emphasize the importance of evenness in understanding diversity patterns, especially since most ecological communities in nature are dominated by one or few species

A logistic model for the prediction of endometriosis

To develop a model using individual and lesion characteristics to help surgeons choose lesions with a high probability of containing histologically-confirmed endometriosis

Clinical trials and pregnancy

Traditionally, there has been a reluctance to involve pregnant people in clinical trials due to complex ethical issues surrounding the risk to unborn babies. However it is crucial that new interventions are safe and effective for all patients and ensuring this can be difficult to achieve in the absence of clinical trials

Eigenvalues of Dirichlet Laplacian within the class of open sets with constant diameter

This paper is about a shape optimization problem related to the Dirichlet Laplacian eingevalues in the Euclidean plane. More precisely we study the shape of the minimizer in the class of open sets of constant width. We prove that the disk is not a local minimizer except for a limited number of eigenvalues

Research Priorities for Endometriosis:Recommendations From a Global Consortium of Investigators in Endometriosis

The 3rd International Consensus Workshop on Research Priorities in Endometriosis was held in São Paulo on May 4, 2014, following the 12th World Congress on Endometriosis. The workshop was attended by 60 participants from 19 countries and was divided into 5 main sessions covering pathogenesis/pathophysiology, symptoms, diagnosis/classification/prognosis, disease/symptom management, and research policy. This research priorities consensus statement builds on earlier efforts to develop research directions for endometriosis. Of the 56 research recommendations from the 2011 meeting in Montpellier, a total of 41 remained unchanged, 13 were updated, and 2 were deemed to be completed. Fifty-three new research recommendations were made at the 2014 meeting in Sao Paulo, which in addition to the 13 updated recommendations resulted in a total of 66 new recommendations for research. The research recommendations published herein, as well as those from the 2 previous papers from international consensus workshops, are an attempt to promote high-quality research in endometriosis by identifying and agreeing on key issues that require investigation. New areas included in the 2014 recommendations include infertility, patient stratification, and research in emerging nations, in addition to an increased focus on translational research. A revised and updated set of research priorities that builds on this document will be developed at the 13th World Congress on Endometriosis to be held on May 17-20, 2017, in Vancouver, British Columbia, Canada.Peter A. W. Rogers, G. David Adamson, Moamar Al-Jefout, Christian M. Becker, Thomas M. D, Hooghe, Gerard A. J. Dunselman, Asgerally Fazleabas, Linda C. Giudice, Andrew W. Horne, M. Louise Hull, Lone Hummelshoj, Stacey A. Missmer, Grant W. Montgomery, Pamela Stratton, Robert N. Taylor, Luk Rombauts, Philippa T. Saunders, Katy Vincent, Krina T. Zondervan for the WES/WERF Consortium for Research Priorities in Endometriosi

World Endometriosis Research Foundation Endometriosis Phenome and biobanking harmonization project: II. Clinical and covariate phenotype data collection in endometriosis research

Objective: To harmonize the collection of nonsurgical clinical and epidemiologic data relevant to endometriosis research, allowing large-scale collaboration. Design: An international collaboration involving 34 clinical/academic centers and three industry collaborators from 16 countries on five continents. Setting: In 2013, two workshops followed by global consultation, bringing together 54 leaders in endometriosis research. Patients None. Intervention(s) Development of a self-administered endometriosis patient questionnaire (EPQ), based on [1] systematic comparison of questionnaires from eight centers that collect data from endometriosis cases (and controls/comparison women) on a medium to large scale (publication on >100 cases); [2] literature evidence; and [3] several global consultation rounds. Main Outcome Measure(s) Standard recommended and minimum required questionnaires to capture detailed clinical and covariate data. Result(s) The standard recommended (EPHect EPQ-S) and minimum required (EPHect EPQ-M) questionnaires contain questions on pelvic pain, subfertility and menstrual/reproductive history, hormone/medication use, medical history, and personal information. Conclusion(s) The EPQ captures the basic set of patient characteristics and exposures considered by the WERF EPHect Working Group to be most critical for the advancement of endometriosis research, but is also relevant to other female conditions with similar risk factors and/or symptomatology. The instruments will be reviewed based on feedback from investigators, and–after a first review after 1 year–triannually through systematic follow-up surveys. Updated versions will be made available through http://endometriosisfoundation.org/ephect