Evidence map›Paper›PMID 32734245›Full record

ArticleKidney medicine

Physicians' Recognition and Management of Kidney Disease: A Randomized Vignette Study Evaluating the Impact of the KDIGO 2012 CKD Classification System.

Stein I Hallan, Dena E Rifkin, O Alison Potok, Knut A Langlo, Friedo W Dekker, Joachim H Ix

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Article in Kidney medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Stein I HallanDepartment of Clinical and Molecular Medicine, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway.
Dena E RifkinDivision of Nephrology-Hypertension, University of California San Diego, San Diego, CA.
O Alison PotokDivision of Nephrology-Hypertension, University of California San Diego, San Diego, CA.
Knut A LangloDepartment of Clinical and Molecular Medicine, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway.
Friedo W DekkerDepartment of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands.
Joachim H IxDivision of Nephrology-Hypertension, University of California San Diego, San Diego, CA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RATIONALE &

objectiveThe Kidney Disease Outcome Quality Initiative (KDOQI) and Kidney Disease: Improving Global Outcomes (KDIGO) chronic kidney disease (CKD) classification systems published in 2002 and 2012, respectively, are recommended worldwide and based on strong epidemiologic data. However, their impact on CKD recognition and management is not well evaluated in clinical practice, and we therefore investigated whether they help physicians recognize and appropriately care for patients with CKD. STUDY

designRandomized vignette experiment with fractional factorial design based on 6 kidney-related scenarios and 3 laboratory presentation methods reflecting the CKD guidelines. Participants evaluated 1 of 3 subsets of the 18 vignettes (ie, 6 vignettes each with 4 answer alternatives). SETTING &

participants249 interns, general practitioners, and residents/fellows attending postgraduate meetings and courses in Norway and the United States.

interventionKidney-related results (serum creatinine level and urinary albumin excretion) were presented as the "minimal data" (high/low levels), KDOQI-2002 (estimated glomerular filtration rate [eGFR] reported automatically), or KDIGO-2012 (eGFR + albuminuria categorization + risk for complications) laboratory report. OUTCOME: CKD management choice by physicians.

resultsWhen kidney laboratory data were presented as the KDOQI-2002 report (automatic eGFR calculation), there was a significantly higher odds for correct patient management decisions compared with the minimal data report (OR, 1.57; LIMITATIONS: Physicians' management was evaluated by theoretical scenarios rather than direct patient care.

conclusionsAutomatic GFR estimation, albuminuria categorization, and notification of the associated risk for complications improve most physicians` recognition and management of a wide range of CKD clinical scenarios.

Indexed as

Chronic kidney diseaseclassificationclinical utilityKDIGO guidelinespatient managementrandomized vignette experiment

Identifiers

PMID32734245
PMCPMC7380357

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