Evidence map›Paper›PMID 28835850›Full record

ArticleCanadian journal of kidney health and disease2017

Risk-Based Triage for Nephrology Referrals Using the Kidney Failure Risk Equation.

Jay Hingwala, Peter Wojciechowski, Brett Hiebert, Joe Bueti, Claudio Rigatto, Paul Komenda, Navdeep Tangri

Open access · goldAbstract read
In one paragraph

Article in Canadian journal of kidney health and disease, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 6% 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

60 citing papers in PubMed, 1 synthesis or guideline pooled it, 99 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Risk-based referral model to nephrologist specialist care in Stockholm.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2025
    Observational
  4. Review
  5. Observational
  6. Risk of Progression and Costs of Care for Patients with Type 2 Diabetes and Chronic Kidney Disease.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. KDIGO 2024 Clinical Practice Guideline for the Evaluation and Management of Chronic Kidney Disease in Children and Adults: a commentary from the European Renal Best Practice (ERBP).Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2025
    Article
  11. Chronic Kidney Disease in Balkan Countries-A Call for Optimal Multidisciplinary Management.International journal of environmental research and public health · 2025
    Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 1 country.

Jay HingwalaDepartment of Internal Medicine, Section of Nephrology, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada.
Peter WojciechowskiDepartment of Medicine and Department of Community Health Sciences, Seven Oaks General Hospital, University of Manitoba, Winnipeg, Canada.
Brett HiebertSt. Boniface General Hospital, Winnipeg, Manitoba, Canada.
Joe BuetiDepartment of Internal Medicine, Section of Nephrology, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada.
Claudio RigattoDepartment of Internal Medicine, Section of Nephrology, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada.
Paul KomendaDepartment of Internal Medicine, Section of Nephrology, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada.
Navdeep TangriDepartment of Internal Medicine, Section of Nephrology, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada.
Seven Oaks General Hospital · CAHealth Sciences Centre · CASt. Boniface Hospital · CAUniversity of Manitoba · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn some jurisdictions, routine reporting of the estimated glomerular filtration rate (eGFR) has led to an increase in nephrology referrals and wait times.

objectiveWe describe the use of the Kidney Failure Risk Equation (KFRE) as part of a triage process for new nephrology referrals for patients with chronic kidney disease stages 3 to 5 in a Canadian province.

designA quasi-experimental study design was used.

settingThis study took place in Manitoba, Canada. MEASUREMENTS: Demographics, laboratory values, referral numbers, and wait times were compared between periods.

methodsIn 2012, we adopted a risk-based cutoff of 3% over 5 years using the KFRE as a threshold for triage of new referrals. Referrals who did not meet other prespecified criteria (such as pregnancy, suspected glomerulonephritis, etc) and had a kidney failure risk of <3% over 5 years were returned to primary care with recommendations based on diabetes and hypertension guidelines. The average wait time and number of consults seen between the pretriage (January 1, 2011, to December 31, 2011) and posttriage period (January 1, 2013, to December 31, 2013) were compared using a general linear model.

resultsIn the pretriage period, the median number of referrals was 68/month (range: 44-76); this increased to 94/month (range: 61-147) in the posttriage period. In the posttriage period, 35% of referrals were booked as urgent, 31% as nonurgent, and 34% of referrals were not booked. The median wait times improved from 230 days (range: 126-355) in the pretriage period to 58 days (range: 48-69) in the posttriage period. LIMITATIONS: We do not have long-term follow-up on patients triaged as low risk. Our study may not be applicable to nephrology teams operating under capacity without wait lists. We did not collect detailed information on all referrals in the pretriage period, so any differences in our pretriage and posttriage patient groups may be unaccounted for.

conclusionsOur risk-based triage scheme is an effective health policy tool that led to improved wait times and access to care for patients at highest risk of progression to kidney failure.

Indexed as

referralrisktriagewait time

Identifiers

PMID28835850
PMCPMC5555495
OpenAlexW2745182292

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.