Evidence map›Paper›PMID 34386668›Full record

ArticleKidney international reports2021

Impact of Using Risk-Based Stratification on Referral of Patients With Chronic Kidney Disease From Primary Care to Specialist Care in the United Kingdom.

Harjeet K Bhachu, Paul Cockwell, Anuradhaa Subramanian, Nicola J Adderley, Krishna Gokhale, Anthony Fenton, Derek Kyte, Krishnarajah Nirantharakumar, Melanie Calvert

Open access · goldAbstract read
In one paragraph

Article in Kidney international reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
5.0field-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.

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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. 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
  5. Observational
  6. Article
  7. When impact trials are not feasible: alternatives to study the impact of prediction models on clinical practice.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2024
    Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Utility of the Kidney Failure Risk Equation and Estimated GFR for Estimating Time to Kidney Failure in Advanced CKD.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2023
    Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article
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

9 authors at 3 institutions in 1 country.

Harjeet K BhachuDepartment of Renal Medicine, Queen Elizabeth Hospital Birmingham, Birmingham, UK.
Paul CockwellDepartment of Renal Medicine, Queen Elizabeth Hospital Birmingham, Birmingham, UK.
Anuradhaa SubramanianInstitute of Applied Health Research, University of Birmingham, Birmingham, UK.
Nicola J AdderleyInstitute of Applied Health Research, University of Birmingham, Birmingham, UK.
Krishna GokhaleInstitute of Applied Health Research, University of Birmingham, Birmingham, UK.
Anthony FentonDepartment of Renal Medicine, Queen Elizabeth Hospital Birmingham, Birmingham, UK.
Derek KyteInstitute of Applied Health Research, University of Birmingham, Birmingham, UK.
Krishnarajah NirantharakumarInstitute of Applied Health Research, University of Birmingham, Birmingham, UK.
Melanie CalvertInstitute of Applied Health Research, University of Birmingham, Birmingham, UK.
University of Birmingham · GBNIHR Birmingham Biomedical Research Centre · GBUniversity of Worcester · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe externally validated Kidney Failure Risk Equation (KFRE) for predicting risk of end-stage renal disease (ESRD) has been developed, but its potential impact in a population on referrals for patients with chronic kidney disease (CKD) from primary to specialty nephrology care is not known.

methodsA cross-sectional population-based study of individuals in United Kingdom primary care registered in The Health Improvement Network database was conducted. National Institute of Health and Care Excellence (NICE) 2014 CKD guidelines

resultsIn all, 39,476 (36.6%) of 107,962 adults with CKD stage 3-5 had a urine albumin:creatinine ratio (ACR) available and entered into the primary analysis. Of that, 7566 (19.2%) patients fulfilled NICE criteria for referral, 2386 (31.5%) of whom had a ≤3% 5-year risk of ESRD. Also 8663 (21.9%) patients had a >3% 5-year risk of ESRD, 3483 (40.2%) of whom did not fulfill NICE criteria; this represents 8.8% of the primary population. By using the KFRE threshold rather than NICE criteria for referral, 5869 patients (14.9% of the primary analysis population) would have been reallocated between primary and specialist care. Imputational analysis was used for missing ACR measurements and showed similar results.

conclusionsA risk-based referral approach would lead to a substantial reallocation of patients between primary care and specialist nephrology care with only a small increase in numbers eligible, ensuring those at higher risk of progression are identified.

Indexed as

chronic kidney diseasecross-sectional studydisease progressionguidelineskidney failure risk equationpatient referral

Identifiers

PMID34386668
PMCPMC8343777
OpenAlexW3172374715

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.