Evidence map›Paper›PMID 36122908›Full record

ArticleNephrology (Carlton, Vic.)2022

Impact of routine reporting of estimated glomerular filtration rate using the European Kidney Function Consortium and Chronic Kidney Disease Epidemiology Collaboration equations in a Western Australian community population.

Kathryn Napier, David Lim, Elizabeth Thomas, James Boyd, Aron Chakera, James Williamson, Kim Betts, Justin Manuel, Teodulo Rey Tuando, Suzanne Robinson

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nephrology (Carlton, Vic.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. 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

10 authors at 6 institutions in 1 country.

Kathryn NapierCurtin Institute for Computation, Curtin University, Perth, Western Australia, Australia.
David LimCurtin School of Population Health, Curtin University, Perth, Western Australia, Australia.ORCID https://orcid.org/0000-0001-8732-4320
Elizabeth ThomasCurtin School of Population Health, Curtin University, Perth, Western Australia, Australia.
James BoydCurtin School of Population Health, Curtin University, Perth, Western Australia, Australia.
Aron ChakeraMedical School, The University of Western Australia, Perth, Western Australia, Australia.ORCID https://orcid.org/0000-0003-3369-4187
James WilliamsonWA Department of Health, Perth, Western Australia, Australia.
Kim BettsCurtin School of Population Health, Curtin University, Perth, Western Australia, Australia.
Justin ManuelWA Country Health Service, Perth, Western Australia, Australia.
Teodulo Rey TuandoWA Country Health Service, Perth, Western Australia, Australia.
Suzanne RobinsonCurtin School of Population Health, Curtin University, Perth, Western Australia, Australia.
Curtin University · AUThe University of Western Australia · AUWA Country Health Service · AUDeakin University · AUGovernment of Western Australia Department of Health · AULa Trobe University · AU

Funding

Digital Health CRC Limited DHCRC-0073
6 · The paper itself

Abstract

aimIn 2020, the European Kidney Function Consortium (EKFC) published a new creatinine-based equation to estimate glomerular filtration rate (eGFR) to overcome known limitations in existing equations. The aim of this study is to model the potential impact on service referral and health expenditure of routine reporting of eGFR using the EKFC equation as compared to the CKD-EPI equation in a Western Australian population.

methodseGFR was calculated for 760 614 patients with 2 368 234 creatinine results using the CKD-EPI and EKFC formulas. Patients were grouped into a CKD cohort if they had at least two eGFR results of <60 ml/min/1.73 m

resultsAbout 90.66% of patients had a lower eGFR when calculated using the EKFC equation. About 12.6% of individuals were classified into a different CKD stage using the EKFC equation with 97.43% of these patients classified into a higher (more advanced) stage. There was a 25.9% increase in the number of patients identified as having CKD when calculated using the EKFC equation. Direct health costs also increased with the use of EKFC reporting.

conclusionUse of the EKFC equation will increase population prevalence of CKD and will result in a shift to higher stages of CKD. This has implications for monitoring and referral of patients within specialist services and has the potential to increase the need for multidisciplinary care.

Indexed as

Renal Insufficiency, ChronicAustraliaCreatinineGlomerular Filtration RateHumansKidneyCreatininechronicglomerular filtration raterenal insufficiency

Identifiers

PMID36122908
PMCPMC9804785
OpenAlexW4288689643

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.