Evidence map›Paper›PMID 40691554›Full record

ArticleBMC nephrology2025

Exploration of chronic kidney disease screening, diagnosis and management in Australian general practice using electronic medical record data.

Daniel Petzke, Christine Mary Hallinan, Judy Trevena, Jo-Anne Manski-Nankervis

Abstract read
In one paragraph

Article in BMC nephrology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Daniel PetzkeDepartment of General Practice and Primary Care, Melbourne Medical School, University of Melbourne, Melbourne, Australia.
Christine Mary HallinanDepartment of General Practice and Primary Care, Melbourne Medical School, University of Melbourne, Melbourne, Australia.
Judy TrevenaDepartment of General Practice and Primary Care, Melbourne Medical School, University of Melbourne, Melbourne, Australia.
Jo-Anne Manski-NankervisDepartment of General Practice and Primary Care, Melbourne Medical School, University of Melbourne, Melbourne, Australia. joanne.mn@ntu.edu.sg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCKD is a common but under-recognised condition that places significant burden on the individual and the health system globally. Our study applied a set of primary care quality indicators originally developed and validated using Canadian primary care data for screening, diagnosis and monitoring of CKD. These indicators were then applied to a large primary care dataset to assess CKD detection and management practices in Australia.

methodsWe used de-identified data from the Patron repository, which contains data extracted from electronic medical records (EMRs) in Australian general practices. The 16 CKD indicators developed using Canadian EMR data were applied to this dataset. These indicators measured and reported on the use of clinical and pathological tests to diagnose and monitor CKD, the prescribing of antihypertensive and statin medications, and on rates of influenza immunisation.

resultsAmong the 362,078 unique patients identified across 78 general practices, 24,348 had a diagnosis or pathology consistent with CKD, of whom only 28.1% (6,841) had a diagnosis of CKD recorded. Of the 26,307 patients who initially presented with an eGFR below 60 ml/min/1.73m

conclusionsThe results of this study demonstrate that it is feasible to derive meaningful and informative indicators of CKD diagnosis and management from primary care EMR data in Australia, which are comparable with international data. The low rates of CKD documentation and pathology monitoring provide opportunities for quality improvement initiatives to reduce disease burden. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Electronic Health RecordsGeneral PracticeMass ScreeningRenal Insufficiency, ChronicAdultAgedAntihypertensive AgentsAustraliaFemaleGlomerular Filtration RateHumansMaleMiddle AgedQuality Indicators, Health CareAntihypertensive AgentsChronic kidney diseaseEpidemiologyGeneral practicePrimary carePrimary care data

Identifiers

PMID40691554
PMCPMC12278560

What OpenQuestion 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 OpenQuestion graph.