Evidence map›Paper›PMID 42111240›Full record

ArticleClinical kidney journal2026

Evaluation of a nurse-led chronic kidney disease clinic: a single-centre cohort study.

Hannah Wallace, Qiumian Wang, Kylie Simoni, Min Jun, Sandra Crikis, Craig Nelson

Abstract read
In one paragraph

Article in Clinical kidney journal, 2026. 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
–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

1 citing paper in PubMed.

  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

6 authors.

Hannah WallaceFaculty of Medicine, Dentistry and Health Science, The University of Melbourne, Melbourne, VIC, Australia.ORCID https://orcid.org/0000-0002-2728-4299
Qiumian WangWestern Health Chronic Disease Alliance, Western Health, Melbourne, VIC, Australia.
Kylie SimoniWestern Health Chronic Disease Alliance, Western Health, Melbourne, VIC, Australia.
Min JunThe George Institute for Global Health, UNSW Sydney, Sydney, NSW, Australia.ORCID https://orcid.org/0000-0003-1460-7535
Sandra CrikisWestern Health Chronic Disease Alliance, Western Health, Melbourne, VIC, Australia.
Craig NelsonFaculty of Medicine, Dentistry and Health Science, The University of Melbourne, Melbourne, VIC, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The objective of this study was to evaluate the clinical outcomes and patient satisfaction of a new nurse practitioner chronic kidney disease (CKD) clinic. Methods: This was a prospective cohort study of all patients who had their first appointment with the early CKD nurse practitioner from October 2023 to October 2024, with data extracted on 1 April 2025. The outcomes were assessed across three domains: (domain 1) change in clinical outcomes of kidney function, albuminuria and blood pressure, (domain 2) prescription of guidelines concordant medications and (domain 3) patient satisfaction with care as assessed by a survey. Results: There were 95 patients with a median age of 63 years [interquartile interval (IQI) 51-76], and 45.3% were female. Cardio-metabolic comorbidity was common; 82.8% of patients had hypertension, 55.6% diabetes and 25.2% cardiovascular disease. At referral the median urine albumin-creatinine ratio was 32.3 mg/mmol (IQI 11.2-53.5) and this was lower at discharge, 12.4 mg/mmol (IQI 2.9-25.3, Conclusion: The CKD nurse practitioner clinic was effective at implementing guideline-directed medical therapies for early CKD and associated with improvements in blood pressure and albuminuria.

Indexed as

chronic kidney diseasemodels of carenurse practitionerquality-improvement

Identifiers

PMID42111240
PMCPMC13153467

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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.