Evidence mapPaperPMID 40276650Full record

ArticleThe Lancet regional health. Western Pacific2025

Assessing patterns of chronic kidney disease care in Australian primary care: a retrospective cohort study of a national general practice dataset.

Hannah Wallace, James Wick, Daniel Bekele Ketema, Luke Buizen, Mark Woodward, David Peiris, Brendon L Neuen, Charlotte Robertson, Craig Nelson, John Chalmers and 5 more

Abstract read
In one paragraph

Article in The Lancet regional health. Western Pacific, 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.

Hannah WallaceThe George Institute for Global Health, UNSW Sydney, Sydney, NSW, Australia.
James WickDepartment of Community Health Sciences, Cumming School of Medicine, University of Calgary, Alberta, Canada.
Daniel Bekele KetemaThe George Institute for Global Health, UNSW Sydney, Sydney, NSW, Australia.
Luke BuizenThe George Institute for Global Health, UNSW Sydney, Sydney, NSW, Australia.
Mark WoodwardThe George Institute for Global Health, UNSW Sydney, Sydney, NSW, Australia.
David PeirisThe George Institute for Global Health, UNSW Sydney, Sydney, NSW, Australia.
Brendon L NeuenThe George Institute for Global Health, UNSW Sydney, Sydney, NSW, Australia.
Charlotte RobertsonThe George Institute for Global Health, UNSW Sydney, Sydney, NSW, Australia.
Craig NelsonWestern Health Chronic Disease Alliance, Victoria, Australia.
John ChalmersThe George Institute for Global Health, UNSW Sydney, Sydney, NSW, Australia.
Sunil V BadveThe George Institute for Global Health, UNSW Sydney, Sydney, NSW, Australia.
Sradha S KotwalThe George Institute for Global Health, UNSW Sydney, Sydney, NSW, Australia.
Paul RonksleyDepartment of Community Health Sciences, Cumming School of Medicine, University of Calgary, Alberta, Canada.
Martin GallagherThe George Institute for Global Health, UNSW Sydney, Sydney, NSW, Australia.
Min JunThe George Institute for Global Health, UNSW Sydney, Sydney, NSW, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Chronic kidney disease (CKD) monitoring and cardiovascular risk management are essential in reducing disease progression and cardiovascular events. This study aimed to understand CKD monitoring and management practices in Australian primary care. Methods: We conducted a retrospective, population-based cohort study of adults who attended general practices participating in MedicineInsight between 1 January 2011 and 30 June 2020 and met diagnostic criteria for CKD. Care quality was assessed in the 18-months following identification of CKD. Core monitoring was defined as at least one assessment of all the following measurements: blood pressure, estimated glomerular filtration rate (eGFR), urine albumin creatinine ratio (UACR), lipid profile, and HbA1c in patients with diabetes. Cardiovascular risk management comprised medication prescription (ACEi/ARB and statin), blood pressure target achievement and LDL cholesterol <2 mmol/L. Modified Poisson regression models adjusted for socio-demographic and clinical characteristics were used to identify patient factors associated with completion of monitoring and medication prescription. Findings: CKD was identified in 140,780 patients, of which 34.2% received core monitoring within 18 months of CKD identification. Measurement of the individual components of the core monitoring outcome varied: blood pressure (88.7%), eGFR (86.0%), UACR (41.1%), lipids (70.9%) and HbA1c (85.5%). ACEi/ARB were prescribed in 65.2% of the cohort and 54.4% were prescribed a statin. Blood pressure targets of <140/90 mmHg and <130/80 mmHg were achieved in 57.9% and 29.3% of patients, respectively. LDL target of <2 mmol/L was achieved in 38.8% of patients. Older age, comorbid diabetes and hypertension were associated with a greater likelihood of monitoring and medication prescription. Interpretation: In this large, population-based study, we observed substantial variation in CKD risk monitoring and the management of cardiovascular risk in patients with CKD. We identified several priority areas for CKD management in primary care including need for improvement in albuminuria monitoring. Funding: University of New South Wales Scientia Program and Boehringer Ingelheim Eli Lilly Alliance.

Indexed as

Chronic kidney diseaseMonitoringPrimary careQuality of care

Identifiers

PMID40276650
PMCPMC12018088

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.