Evidence map›Paper›PMID 32682696›Full record

Trial reportAmerican journal of kidney diseases : the official journal of the National Kidney Foundation2020

Electronic Decision Support for Management of CKD in Primary Care: A Pragmatic Randomized Trial.

Carmen A Peralta, Jennifer Livaudais-Toman, Marilyn Stebbins, Lowell Lo, Andrew Robinson, Sarita Pathak, Rebecca Scherzer, Leah S Karliner

Registry-linked trialOpen access · hybridAbstract readPragmatic Clinical TrialRandomized Controlled Trial
In one paragraph

Trial report in American journal of kidney diseases : the official journal of the National Kidney Foundation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02925962 (A Randomized Trial to Evaluate an Electronic CKD Clinical Decision Support System), which is not on this map. Cited by 38 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 5 pooled it
6.4field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT02925962 nacompletednot on this map

A Randomized Trial to Evaluate an Electronic CKD Clinical Decision Support System (CDSS) in Clinical Care

TypeinterventionalSponsorUniversity of California, San FranciscoRan2017 to 2020Enrolled542ConditionsHypertension, Renal Insufficiency, ChronicArmsClinical Decision Support System (CDSS), Clinic Decision Sup System + Pharmacist
3 · Its place in the literature

Who cites it

38 citing papers in PubMed, 5 syntheses or guidelines pooled it, 66 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Effect of pharmacist interventions in chronic kidney disease: a meta-analysis.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2025
    Pooled it
  4. Pooled it
  5. Decision coaching for people making healthcare decisions.The Cochrane database of systematic reviews · 2021
    Pooled it
  6. Trial
  7. Trial
  8. Care Processes and Clinical Responses to Newly Detected Albuminuria: The Stockholm Creatinine Measurements (SCREAM) Project.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2026
    Article
  9. Observational
  10. Article
  11. Review
  12. Article
  13. Health Equity and Artificial Intelligence in Nephrology.Clinical journal of the American Society of Nephrology : CJASN · 2025
    Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Carmen A PeraltaDepartment of Medicine, University of California San Francisco, San Francisco, CA; The Kidney Health Research Collaborative, University of California San Francisco, San Francisco, CA; Cricket Health, Inc, San Francisco, CA. Electronic address: carmenalicia.peralta@ucsf.edu.
Jennifer Livaudais-TomanDepartment of Medicine, University of California San Francisco, San Francisco, CA; Multiethnic Health Equity Research Center, University of California San Francisco, San Francisco, CA.
Marilyn StebbinsDepartment of Clinical PharmacyUniversity of California San Francisco, San Francisco, CA.
Lowell LoDepartment of Medicine, University of California San Francisco, San Francisco, CA.
Andrew RobinsonDepartment of Medicine, University of California San Francisco, San Francisco, CA.
Sarita PathakDepartment of Medicine, University of California San Francisco, San Francisco, CA; Multiethnic Health Equity Research Center, University of California San Francisco, San Francisco, CA.
Rebecca ScherzerDepartment of Medicine, University of California San Francisco, San Francisco, CA; The Kidney Health Research Collaborative, University of California San Francisco, San Francisco, CA.
Leah S KarlinerDepartment of Medicine, University of California San Francisco, San Francisco, CA; Multiethnic Health Equity Research Center, University of California San Francisco, San Francisco, CA.
University of California, San Francisco · US

Funding

RESOURCE CENTER FOR AGING RESEARCH IN DIVERSE POPULATIONP30AG015272 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LEAH S KARLINER · 1997 to 2026
$19.5M
An Electronic Clinical Decision Support Stytem (CDSS) to Lower Blood Pressure in Persons with CKD in Primary Care: A Randomized TrialR18DK110959 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KARLINER, LEAH S, PERALTA, CARMEN ALICIA · 2016 to 2017
$705k
NIA NIH HHS P30 AG015272NIDDK NIH HHS R18 DK110959
6 · The paper itself

Abstract

RATIONALE &

objectiveMost adults with chronic kidney disease (CKD) in the United States are cared for by primary care providers (PCPs). We evaluated the feasibility and preliminary effectiveness of an electronic clinical decision support system (eCDSS) within the electronic health record with or without pharmacist follow-up to improve the management of CKD in primary care. STUDY

designPragmatic cluster-randomized trial. SETTING &

participants524 adults with confirmed creatinine-based estimated glomerular filtration rates of 30 to 59mL/min/1.73m

interventionsEach PCP's eligible patients were randomly assigned as a group into 1 of 3 treatment arms: (1) usual care; (2) eCDSS: testing of creatinine, cystatin C, and urinary albumin-creatinine ratio with individually tailored guidance for PCPs on blood pressure, potassium, and proteinuria management, cardiovascular risk reduction, and patient education; or (3) eCDSS plus pharmacist counseling (eCDSS-PLUS). OUTCOMES: The primary clinical outcome was change in blood pressure over 12 months. Secondary outcomes were PCP awareness of CKD and use of angiotensin-converting enzyme inhibitor/angiotensin receptor blocker and statin therapy.

resultsAll 80 eligible PCPs participated. Mean patient age was 70 years, 47% were nonwhite, and mean estimated glomerular filtration rate was 56±0.6mL/min/1.73m LIMITATIONS: Recruitment of smaller than intended sample size and limited uptake of the testing component of the intervention.

conclusionsAlthough we were unable to demonstrate the effectiveness of eCDSS to lower blood pressure and uptake of the eCDSS was limited by low testing rates, eCDSS use was high when laboratory measurements were available and was associated with higher PCP awareness of CKD.

fundingGrants from government (National Institutes of Health) and not-for-profit (American Heart Association) entities.

trial registrationRegistered at ClinicalTrials.gov with study number NCT02925962.

Indexed as

Decision Support TechniquesDisease ManagementElectronic Health RecordsAgedDelivery of Health CareFemaleHumansMaleMiddle AgedPrimary Health CareRenal Insufficiency, ChronicUnited StatesChronic kidney disease (CKD)CKD awarenessCKD detectionCKD managementelectronic decision supportelectronic health record (EHR)nephrology referralprimary careprimary care physician (PCP)randomized clinical trial (RCT)risk stratification

Identifiers

PMID32682696
PMCPMC7606321
OpenAlexW3044001201

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.