کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6156615 | 1598241 | 2016 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Predicting Progression in CKD: Perspectives and Precautions
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کلمات کلیدی
Chronic kidney disease (CKD) - بیماری مزمن کلیه (CKD)Decision making - تصمیم سازیValidity - روایی Outcomes - عواقبRisk calculator - ماشین حساب ریسکPrediction models - مدل پیش بینیReview - مرورUsefulness - مفید بودنBiomarkers - نشانگر زیستی یا بیومارکرprognosis - پیش شناخت بیماریDisease progression - پیشرفت بیماری
موضوعات مرتبط
علوم پزشکی و سلامت
پزشکی و دندانپزشکی
بیماریهای کلیوی
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
Predicting outcomes to guide clinical care, decision making, and resource allocation is a challenging undertaking in chronic kidney disease (CKD). Many prediction models have been developed, but few have been appropriately externally validated and even fewer have been assessed to be usable in the clinical setting. This contributes to the currently infrequent use of existing prediction models. Patients with CKD are a particularly heterogeneous group with significant biological variability, making the development of useful prediction models even more challenging. This article explores the different challenges in the development, validation, and application of prediction models in CKD. We explore the notion that newer biomarkers offer potential for enhancing existing and future prediction models and that modern technology is an opportunity to make prediction models more accessible and less cumbersome to use in clinical practice. Despite the challenges associated with their development and implementation, clinical prediction models have the potential to be a powerful tool for clinicians, researchers, and policy makers alike.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: American Journal of Kidney Diseases - Volume 67, Issue 5, May 2016, Pages 779-786
Journal: American Journal of Kidney Diseases - Volume 67, Issue 5, May 2016, Pages 779-786
نویسندگان
Matthew James MD, FRCPC, Elizabeth Sunmin MD, FRCPC, Adeera MD, FRCPC,