Dataset Information

Impact of new vitamin D data on future studies and treatment.

ABSTRACT: PURPOSE OF REVIEW:This review evaluates recently published data on clinical effects of vitamin D supplementation, focusing on randomized, placebo-controlled trials and nontraditional actions on the cardiovascular and immune systems. RECENT FINDINGS:Several randomized trials evaluating vitamin D therapy have recently emerged, in both the general population and in individuals with chronic kidney disease (CKD). In the former, measurable effects on cardiovascular risk factors have not been detected, with the possible exception of a modest reduction in blood pressure. Studies aimed at boosting immunity have demonstrated efficacy only in specific, high-risk populations. In CKD, the benefits of nutritional vitamin D appear largely limited to earlier stages of disease. Benefits of active vitamin D agents, outside of their known effects on mineral metabolism, have also thus far eluded detection. One possible exception that has accumulated supportive evidence is the link between active vitamin D analogs and decreased proteinuria. Large-scale clinical trials, now underway, will be critical to understanding of the potential benefits and hazards of vitamin D treatment. SUMMARY:New trials evaluating the effects of vitamin D supplementation have failed to reveal any robust clinical benefits beyond its known actions on mineral and bone disease.

SUBMITTER: Bhan I

PROVIDER: S-EPMC3984907 | biostudies-literature | 2013 Jul

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Impact of new vitamin D data on future studies and treatment.

Bhan Ishir I Tamez Hector H Thadhani Ravi R

Current opinion in nephrology and hypertension 20130701 4

<h4>Purpose of review</h4>This review evaluates recently published data on clinical effects of vitamin D supplementation, focusing on randomized, placebo-controlled trials and nontraditional actions on the cardiovascular and immune systems.<h4>Recent findings</h4>Several randomized trials evaluating vitamin D therapy have recently emerged, in both the general population and in individuals with chronic kidney disease (CKD). In the former, measurable effects on cardiovascular risk factors have not ...[more]

PMID: 23666416

Similar Datasets

Project description:BackgroundAlthough the potential of big data analytics for health care is well recognized, evidence is lacking on its effects on public health.ObjectiveThe aim of this study was to assess the impact of the use of big data analytics on people's health based on the health indicators and core priorities in the World Health Organization (WHO) General Programme of Work 2019/2023 and the European Programme of Work (EPW), approved and adopted by its Member States, in addition to SARS-CoV-2-related studies. Furthermore, we sought to identify the most relevant challenges and opportunities of these tools with respect to people's health.MethodsSix databases (MEDLINE, Embase, Cochrane Database of Systematic Reviews via Cochrane Library, Web of Science, Scopus, and Epistemonikos) were searched from the inception date to September 21, 2020. Systematic reviews assessing the effects of big data analytics on health indicators were included. Two authors independently performed screening, selection, data extraction, and quality assessment using the AMSTAR-2 (A Measurement Tool to Assess Systematic Reviews 2) checklist.ResultsThe literature search initially yielded 185 records, 35 of which met the inclusion criteria, involving more than 5,000,000 patients. Most of the included studies used patient data collected from electronic health records, hospital information systems, private patient databases, and imaging datasets, and involved the use of big data analytics for noncommunicable diseases. "Probability of dying from any of cardiovascular, cancer, diabetes or chronic renal disease" and "suicide mortality rate" were the most commonly assessed health indicators and core priorities within the WHO General Programme of Work 2019/2023 and the EPW 2020/2025. Big data analytics have shown moderate to high accuracy for the diagnosis and prediction of complications of diabetes mellitus as well as for the diagnosis and classification of mental disorders; prediction of suicide attempts and behaviors; and the diagnosis, treatment, and prediction of important clinical outcomes of several chronic diseases. Confidence in the results was rated as "critically low" for 25 reviews, as "low" for 7 reviews, and as "moderate" for 3 reviews. The most frequently identified challenges were establishment of a well-designed and structured data source, and a secure, transparent, and standardized database for patient data.ConclusionsAlthough the overall quality of included studies was limited, big data analytics has shown moderate to high accuracy for the diagnosis of certain diseases, improvement in managing chronic diseases, and support for prompt and real-time analyses of large sets of varied input data to diagnose and predict disease outcomes.Trial registrationInternational Prospective Register of Systematic Reviews (PROSPERO) CRD42020214048; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=214048.

Dataset Information

Impact of new vitamin D data on future studies and treatment.

Publications

Impact of new vitamin D data on future studies and treatment.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets