Literature DB >> 25980469

Biomarkers and surrogate endpoints in kidney disease.

Erum A Hartung1,2.   

Abstract

Kidney disease and its related comorbidities impose a large public health burden. Despite this, the number of clinical trials in nephrology lags behind many other fields. An important factor contributing to the relatively slow pace of nephrology trials is that existing clinical endpoints have significant limitations. "Hard" endpoints for chronic kidney disease, such as progression to end-stage renal disease, may not be reached for decades. Traditional biomarkers, such as serum creatinine in acute kidney injury, may lack sensitivity and predictive value. Finding new biomarkers to serve as surrogate endpoints is therefore an important priority in kidney disease research and may help to accelerate nephrology clinical trials. In this paper, I first review key concepts related to the selection of clinical trial endpoints and discuss statistical and regulatory considerations related to the evaluation of biomarkers as surrogate endpoints. This is followed by a discussion of the challenges and opportunities in developing novel biomarkers and surrogate endpoints in three major areas of nephrology research: acute kidney injury, chronic kidney disease, and autosomal dominant polycystic kidney disease.

Entities:  

Keywords:  Acute kidney injury; Biomarkers; Chronic kidney disease; End-stage renal disease; Polycystic kidney disease; Surrogate endpoints

Mesh:

Substances:

Year:  2015        PMID: 25980469      PMCID: PMC4646734          DOI: 10.1007/s00467-015-3104-8

Source DB:  PubMed          Journal:  Pediatr Nephrol        ISSN: 0931-041X            Impact factor:   3.714


  65 in total

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Authors:  Richard J Glassock
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3.  Chronic kidney disease and the public health: gaps in evidence from interventional trials.

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Review 4.  An approach to the validation of markers for use in AIDS clinical trials.

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Journal:  Clin Infect Dis       Date:  1997-05       Impact factor: 9.079

Review 5.  Statistical evaluation of surrogate endpoints with examples from cancer clinical trials.

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Journal:  Biom J       Date:  2015-02-12       Impact factor: 2.207

6.  On the relationship between the causal-inference and meta-analytic paradigms for the validation of surrogate endpoints.

Authors:  Ariel Alonso; Wim Van der Elst; Geert Molenberghs; Marc Buyse; Tomasz Burzykowski
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7.  GFR decline and subsequent risk of established kidney outcomes: a meta-analysis of 37 randomized controlled trials.

Authors:  Hiddo J Lambers Heerspink; Hocine Tighiouart; Yingying Sang; Shoshana Ballew; Hasi Mondal; Kunihiro Matsushita; Josef Coresh; Andrew S Levey; Lesley A Inker
Journal:  Am J Kidney Dis       Date:  2014-10-16       Impact factor: 8.860

8.  Effect of pravastatin on total kidney volume, left ventricular mass index, and microalbuminuria in pediatric autosomal dominant polycystic kidney disease.

Authors:  Melissa A Cadnapaphornchai; Diana M George; Kim McFann; Wei Wang; Berenice Gitomer; John D Strain; Robert W Schrier
Journal:  Clin J Am Soc Nephrol       Date:  2014-04-10       Impact factor: 8.237

Review 9.  Net reclassification indices for evaluating risk prediction instruments: a critical review.

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Journal:  Epidemiology       Date:  2014-01       Impact factor: 4.822

10.  Acute Kidney Injury Network: report of an initiative to improve outcomes in acute kidney injury.

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Journal:  Crit Care       Date:  2007       Impact factor: 9.097

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2.  Evaluation of galectin-3 and intestinal fatty acid binding protein as serum biomarkers in autosomal recessive polycystic kidney disease.

Authors:  Lindsay T Fleischer; Lance Ballester; Mohini Dutt; Kathryn Howarth; Laura Poznick; Kassa Darge; Susan L Furth; Erum A Hartung
Journal:  J Nephrol       Date:  2022-08-18       Impact factor: 4.393

3.  A clinical predictive model of renal injury in children with isolated antenatal hydronephrosis.

Authors:  Fernanda P Costa; Ana C Simões E Silva; Robert H Mak; Joachim H Ix; Mariana A Vasconcelos; Cristiane S Dias; Carolina C Fonseca; Maria Christina L Oliveira; Eduardo A Oliveira
Journal:  Clin Kidney J       Date:  2019-08-19

4.  Association between syndecan-1 and renal function in adolescents with excess weight: evidence of subclinical kidney disease and endothelial dysfunction.

Authors:  Z M R M Saboia; G C Meneses; A M C Martins; E F Daher; G B Silva Junior
Journal:  Braz J Med Biol Res       Date:  2018-01-11       Impact factor: 2.590

5.  Esaxerenone (CS-3150) in Patients with Type 2 Diabetes and Microalbuminuria (ESAX-DN): Phase 3 Randomized Controlled Clinical Trial.

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Journal:  Clin J Am Soc Nephrol       Date:  2020-11-25       Impact factor: 8.237

6.  Safety and tolerability of autologous bone marrow mesenchymal stromal cells in ADPKD patients.

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Journal:  Stem Cell Res Ther       Date:  2017-05-23       Impact factor: 6.832

Review 7.  Predictors of progression in autosomal dominant and autosomal recessive polycystic kidney disease.

Authors:  Eric G Benz; Erum A Hartung
Journal:  Pediatr Nephrol       Date:  2021-01-21       Impact factor: 3.651

8.  Pediatric Nephrology in Primary Care: The Forest for the Trees.

Authors:  Donald E Greydanus; Vimal Master Sankar Raj; Joav Merrick
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Review 9.  Choosing primary endpoints for clinical trials of health care interventions.

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10.  Urinary levels of pro-fibrotic transglutaminase 2 (TG2) may help predict progression of chronic kidney disease.

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  10 in total

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