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Showing 1–7 of 7 results
Advanced filters: Author: Navdeep Tangri Clear advanced filters

  • Variation exists in the number and utility of diagnostic tests performed at nephrology referral. Recent data suggest that a large battery of diagnostic tests might be unnecessary and costly for the majority of patients. A risk-based approach to triage could instead help inform which patients will benefit from intensive testing.

    • Navdeep Tangri
    • Thomas W. Ferguson
    News & Views
    Nature Reviews Nephrology
    Volume: 11, P: 325-326

  • The late diagnosis of chronic kidney disease (CKD) is a global problem that limits the opportunity to initiate disease-modifying therapies. Artificial intelligence approaches using imaging or laboratory-based models can facilitate the early detection and risk stratification of CKD and thereby enable optimal treatment to reduce the burden of the disease.

    • Navdeep Tangri
    • Charumathi Sabanayagam
    Comments & Opinion
    Nature Reviews Nephrology
    Volume: 21, P: 153-154

  • Optimal referral of patients who are at risk of kidney failure to nephrologists could improve their long-term outcomes. Various strategies, including the inclusion of kidney failure risk equations in electronic medical records and the active dissemination of clinical practice guidelines, could help to reduce the gap between optimal referral and what currently happens in clinical practice.

    • Nestor Oliva-Damaso
    • Navdeep Tangri
    • Richard J. Glassock
    Comments & Opinion
    Nature Reviews Nephrology
    Volume: 19, P: 275-276