@NephJC @NavTangri original model: https://t.co/XinMkCu8yH subsequent IPD meta-analysis: https://t.co/KrNec10Z8x #nephjc
A predictive model for progression of chronic kidney disease to kidney failure.
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Feb 2019 – Mar 2025Where it's discussed
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X / Twitter12 posts
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News12 articles
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Blogs8 articles
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YouTube2 videos
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Facebook2 posts
AI synopsis
What people are saying
The discussions highlight the model’s impressive prediction accuracy and clinical relevance, with mentions of validation performance (C statistics around 0.84-0.91) and its ability to assist clinicians in risk assessment, using words like 'significant,' 'outperforming,' and 'potential.' The tone reflects professional interest and acknowledgment of the model's promising implications for patient care.
Most discussions acknowledge the significance of the predictive model and its potential to improve patient outcomes, showing general support.
Participants show moderate interest, as they mention the model's methodology, validation, and clinical implications without extensive critique.
The discussions include references to specific researchers, meta-analyses, and potential uses, indicating a thoughtful level of engagement.
Many recognize the model's potential to influence clinical decision-making and management of CKD, highlighting its meaningful impact.
Abstract in brief
- The study developed and tested a predictive model to determine the risk of progression from chronic kidney disease (CKD) to kidney failure, using data from Canadian patients, focusing on factors like age, sex, GFR, albuminuria, and certain blood serum levels.
- The most accurate model achieved a high prediction performance, with a C statistic of around 0.91 in the development group and 0.84 in the validation group, outperforming simpler models; it effectively predicts the likelihood of kidney failure within 1, 3, and 5 years.
- The model can help clinicians make better decisions regarding testing, treatment, and referrals by providing more precise risk assessments, especially for patients with moderate to severe CKD stages.
Top posts
Most liked on X and BlueskyA Predictive Model for Progression of Chronic Kidney Disease to Kidney Failure | Chronic Kidney Disease | JAMA | JAMA Network https://t.co/kZflS5HK8v
A Predictive Model for Progression of Chronic Kidney Disease to Kidney Failure. Cited by Dr. Darren Schmidt, @UNMHSC Nephrology. https://t.co/77hhbafRcY
Ionut Nistor talks about a predictive model for progression of chronic kidney disease to kidney failure. @EuGMSSociety #EuGMS2019 #KidneyDisease #geriatricmedicine https://t.co/z2Pwx6CibO
RT @KRUKPhD: @NephJC @NavTangri original model: https://t.co/XinMkCu8yH subsequent IPD meta-analysis: https://t.co/KrNec10Z8x #nephjc
RT @ESreporter: Ionut Nistor talks about a predictive model for progression of chronic kidney disease to kidney failure. @EuGMSSociety #EuG…
All mentions
Interdisciplinary Management of Chronic Kidney Disease in Primary Care
Prof. van der Giet, Prof. Chenot, and Prof. Kuhlmann discuss the interdisciplinary outpatient care of chronic kidney disease (CKD) patients, focusing on S3 guidelines for managing patients not requiring kidney…
Advances in Treating Renal Acidosis and CKD Progression
Dr Nilufar Mohebbi and Dr Navdeep Tangri review phase 3 studies on renal acidosis treatments, focusing on recent research from the PRESERVETransplant and VALOR-CKD trials, highlighting challenges and advancements in…
RT @Wagner_Nephro: A Predictive Model for Progression of Chronic Kidney Disease to Kidney Failure | Chronic Kidney Disease | JAMA | JAMA Ne…
RT @Wagner_Nephro: A Predictive Model for Progression of Chronic Kidney Disease to Kidney Failure | Chronic Kidney Disease | JAMA | JAMA Ne…
RT @Wagner_Nephro: A Predictive Model for Progression of Chronic Kidney Disease to Kidney Failure | Chronic Kidney Disease | JAMA | JAMA Ne…
A Predictive Model for Progression of Chronic Kidney Disease to Kidney Failure | Chronic Kidney Disease | JAMA | JAMA Network https://t.co/kZflS5HK8v
A Predictive Model for Progression of Chronic Kidney Disease to Kidney Failure. Cited by Dr. Darren Schmidt, @UNMHSC Nephrology. https://t.co/77hhbafRcY
RT @KRUKPhD: @NephJC @NavTangri original model: https://t.co/XinMkCu8yH subsequent IPD meta-analysis: https://t.co/KrNec10Z8x #nephjc
RT @KRUKPhD: @NephJC @NavTangri original model: https://t.co/XinMkCu8yH subsequent IPD meta-analysis: https://t.co/KrNec10Z8x #nephjc
RT @KRUKPhD: @NephJC @NavTangri original model: https://t.co/XinMkCu8yH subsequent IPD meta-analysis: https://t.co/KrNec10Z8x #nephjc
@NephJC @NavTangri original model: https://t.co/XinMkCu8yH subsequent IPD meta-analysis: https://t.co/KrNec10Z8x #nephjc
RT @ESreporter: Ionut Nistor talks about a predictive model for progression of chronic kidney disease to kidney failure. @EuGMSSociety #EuG…
Ionut Nistor talks about a predictive model for progression of chronic kidney disease to kidney failure. @EuGMSSociety #EuGMS2019 #KidneyDisease #geriatricmedicine https://t.co/z2Pwx6CibO
A Predictive Model for Progression of Chronic Kidney Disease to Kidney Failure #nephrology https://t.co/wN6YuhsU40
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