Evidence map›Paper›PMID 41093353›Full record

Observational studyBMJ open2025

Patterns of follow-up testing of abnormal eGFR and UACR for the detection of chronic kidney disease in Australian primary care: analysis of a national general practice dataset.

Angela Kathy Li, Sradha Kotwal, Hannah Wallace, Daniel Bekele Ketema, James Wick, Brendon L Neuen, Michael O Falster, Jialing Lin, Sallie-Anne Pearson, David Peiris and 5 more

Abstract readObservational Study
In one paragraph

Observational study in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. 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

15 authors.

Angela Kathy LiThe George Institute for Global Health, Sydney, New South Wales, Australia.ORCID http://orcid.org/0009-0003-5156-2740
Sradha KotwalThe George Institute for Global Health, Sydney, New South Wales, Australia.
Hannah WallaceThe George Institute for Global Health, Sydney, New South Wales, Australia.
Daniel Bekele KetemaThe George Institute for Global Health, Sydney, New South Wales, Australia.ORCID http://orcid.org/0000-0002-7464-7814
James WickDepartment of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Brendon L NeuenThe George Institute for Global Health, Sydney, New South Wales, Australia.
Michael O FalsterSchool of Population Health, Faculty of Medicine and Health, University of New South Wales, Randwick, New South Wales, Australia.ORCID http://orcid.org/0000-0001-6444-7272
Jialing LinInternational Centre for Future Health Systems, University of New South Wales, Randwick, New South Wales, Australia.ORCID http://orcid.org/0000-0002-0643-9191
Sallie-Anne PearsonSchool of Population Health, Faculty of Medicine and Health, University of New South Wales, Randwick, New South Wales, Australia.
David PeirisThe George Institute for Global Health, Sydney, New South Wales, Australia.ORCID http://orcid.org/0000-0002-6898-3870
Meg J JardineNHMRC Clinical Trials Centre, Camperdown, New South Wales, Australia.
Mark WoodwardThe George Institute for Global Health, Sydney, New South Wales, Australia.
John ChalmersThe George Institute for Global Health, Sydney, New South Wales, Australia.
Paul E RonksleyDepartment of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Min JunThe George Institute for Global Health, Sydney, New South Wales, Australia mjun@georgeinstitute.org.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the patterns of abnormal estimated glomerular filtration rate (eGFR) and urine albumin-creatinine ratio (UACR) follow-up testing for the detection of chronic kidney disease (CKD) in Australian general practices.

designRetrospective, population-based observational study. SETTING AND

participants2 717 966 adults who visited a MedicineInsight participating general practice between 1 January 2012 and 31 December 2020, had ≥1 serum creatinine measurement (with or without a UACR measurement) and did not have CKD at baseline.

main outcome measure'Guideline-concordant follow-up' was defined as having a record of a repeat eGFR or UACR testing (assessed separately) within 6 months following the abnormal (eGFR<60 mL/min/1.73 m

resultsA total of 220 841 and 114 889 patients with an abnormal incident eGFR and UACR result, respectively, were identified. Nearly half (45.0%) of the patients with an abnormal eGFR result and over two-thirds (69.7%) of the patients with an abnormal UACR result did not have a follow-up test within 6 months. Patient factors associated with a higher likelihood of follow-up eGFR testing included indicators of poorer baseline health and greater CKD risk, such as comorbid diabetes (adjusted OR 1.36, 95% CI 1.32 to 1.40) or more severe incident eGFR (adjusted ORs for eGFR categories 30-44, 15-29 and <15 mL/min/1.73 m², respectively, vs eGFR 45-59 mL/min/1.73 m²: 1.51 (1.47 to 1.55), 1.85 (1.76 to 1.95) and 1.62 (1.47 to 1.78)). Higher incident UACR level was associated with greater follow-up UACR testing (adjusted OR for severely increased albuminuria vs moderately increased albuminuria (OR 1.42, 95% CI 1.37 to 1.48).

conclusionsIn this large, population-based study, we observed substantial gaps in the follow-up of abnormal eGFR and UACR for the detection of CKD in primary care settings. Effective strategies to optimise follow-up testing for CKD detection are needed.

Indexed as

AlbuminuriaCreatinineGlomerular Filtration RateRenal Insufficiency, ChronicAdultAgedAustraliaFemaleGeneral PracticeHumansMaleMiddle AgedPrimary Health CareRetrospective StudiesCreatinineChronic renal failureNephrologyPrimary Health Care

Identifiers

PMID41093353
PMCPMC12530389

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.