The liver is a common non-exocrine target in primary Sjögren's syndrome: A retrospective review

BACKGROUND: The autoimmune destruction of exocrine glands that defines primary Sjögren's syndrome (1°SS) often extends to non-exocrine organs including the liver. We aimed to determine the prevalence of liver disease in patients with 1°SS and to evaluate the association of this complication with other non-exocrine features and serologic markers of autoimmunity and systemic inflammation. METHODS: We reviewed 115 charts of patients with 1°SS and further analyzed the 73 cases that fulfilled the European Epidemiology Center Criteria, seeking evidence for clinical and subclinical liver disease. RESULTS: Liver function tests had been determined in 59 of the 73 patients. Of those, 29 patients (49.1%) had abnormal liver function tests including 20.3% with clinically overt hepatic disease. Liver disease was the most common non-exocrine feature in this cohort. Risk factors for abnormal liver function tests were distributed similarly between the patients with and without liver disease. In 60% of patients with abnormal liver function tests no explanation for this complication was found except for 1°SS. Liver involvement was significantly more common in 1°SS patients who also had evidence of lung, kidney and hematological abnormalities. Patients with abnormal liver function tests were also more likely to have an elevated sedimentation rate and a positive anti-ENA during the course of their disease. CONCLUSION: Liver involvement is a common complication in 1°SS. Its presence correlates with systemic disease. We consider that this complication should be routinely sought in patients with 1°SS, especially when a positive anti-ENA or evidence of systemic inflammation is found

TRY plant trait database - enhanced coverage and open access

Plant traits-the morphological, anatomical, physiological, biochemical and phenological characteristics of plants-determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait-based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits-almost complete coverage for 'plant growth form'. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait-environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives

TRY plant trait database - enhanced coverage and open access

Plant traits—the morphological, anatomical, physiological, biochemical and phenological characteristics of plants—determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait‐based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits—almost complete coverage for ‘plant growth form’. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait–environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives

Rural doctors and rural backgrounds: How strong is the evidence? A systematic review

Objective: We sought to summarise the evidence for an association between rural background and rural practice by systematically reviewing the national and international published reports. Design: A systematic review. Setting: A search of the national and international published reports from 1973 to October 2001. Subject: The search criteria included observational studies of a case-control or cohort design making a clear and quantitative comparison between current rural and urban doctors, this resulted in the identification of 141 studies for potential inclusion. Results: We systematically reviewed 12 studies. Rural background was associated with rural practice in 10 of the 12 studies, in which it was reported, with most odds ratios (OR) approximately 2–2.5. Rural schooling was associated with rural practice in all 5 studies that reported on it, with most OR approximately 2.0. Having a rural partner was associated with rural practice in 3 of the 4 studies reporting on it, with OR approximately 3.0. Rural undergraduate training was associated with rural practice in 4 of 5 studies, with most OR approximately 2.0. Rural postgraduate training was associated with rural practice in 1 of 2 studies, with rural doctors reporting rural training about 2.5 times more often. Conclusions: There is consistent evidence that the likelihood of working in rural practice is approximately twice greater among doctors with a rural background. There is a smaller body of evidence in support of the other rural factors studied, and the strength of association is similar to that for rural background. What is already known on this subject?: It is widely perceived that doctors with a rural background are more likely to return to work in rural areas and major policy initiatives in Australia rely on this assumption. It is recognised that other factors such as location of primary and secondary education, rural medical training and spouse or partner background may also be influential. In order to determine the strength of the evidence for an association between rural background and rural practice we did a systematic review of the published reports. What does this study add?: This systematic review provides good evidence that doctors with a rural background are about twice as likely to work as rural doctors, compared with those with an urban background. Rural background seems to be an important factor that can be employed in policy and practice, however, the problem of increasing the number of rural doctors is multifactorial and so is the solution