Evidence map›Paper›PMID 32503456›Full record

ArticleBMC nephrology2020

Quality use of medicines in patients with chronic kidney disease.

Ronald L Castelino, Timothy Saunder, Alex Kitsos, Gregory M Peterson, Matthew Jose, Barbara Wimmer, Masuma Khanam, Woldesellassie Bezabhe, Jim Stankovich, Jan Radford

Open access · goldAbstract read
In one paragraph

Article in BMC nephrology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
6.7field-weighted citation impact, top 3% 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

13 citing papers in PubMed, 30 citations in OpenAlex.

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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 4 institutions in 1 country.

Ronald L CastelinoPharmacology and Clinical Pharmacy, University of Sydney, Sydney School of Nursing, Camperdown, Sydney, 2000, Australia. Ronald.Castelino@sydney.edu.au.ORCID 0000-0002-5128-7115
Timothy SaunderSchool of Medicine, University of Tasmania, Private Bag 34, Hobart, TAS, 7001, Australia.
Alex KitsosFaculty of Health Science, University of Tasmania, Churchill Avenue, Sandy Bay, TAS, 7001, Australia.
Gregory M PetersonFaculty of Health Science, University of Tasmania, Churchill Avenue, Sandy Bay, TAS, 7001, Australia.
Matthew JoseFaculty of Medicine, University of Tasmania, Private Bag 96, Hobart, TAS, 7001, Australia.
Barbara WimmerSchool of Medicine, University of Tasmania, Private Bag 26, Hobart, TAS, 7001, Australia.
Masuma KhanamSchool of Health Sciences, University of Tasmania, Churchill Avenue, Sandy Bay, TAS, 7005, Australia.
Woldesellassie BezabheSchool of Medicine, University of Tas, Private Bag 26, Hobart, TAS, 7001, Australia.
Jim StankovichDepartment of Neuroscience, Monash University, 99 Commercial Rd, Melbourne, VIC, 3004, Australia.
Jan RadfordLaunceston Clinical School, School of Medicine, Locked Bag 1377, Launceston, Tas, 7250, Australia.
University of Tasmania · AULaunceston General Hospital · AUMonash University · AUThe University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic kidney disease (CKD) affects drug elimination and patients with CKD require appropriate adjustment of renally cleared medications to ensure safe and effective pharmacotherapy. The main objective of this study was to determine the extent of potentially inappropriate prescribing (PIP; defined as the use of a contraindicated medication or inappropriately high dose according to the kidney function) of renally-cleared medications commonly prescribed in Australian primary care, based on two measures of kidney function. A secondary aim was to assess agreement between the two measures.

methodsRetrospective analysis of routinely collected de-identified Australian general practice patient data (NPS MedicineWise MedicineInsight from January 1, 2013, to June 1, 2016; collected from 329 general practices). All adults (aged ≥18 years) with CKD presenting to general practices across Australia were included in the analysis. Patients were considered to have CKD if they had two or more estimated glomerular filtration rate (eGFR) recorded values < 60 mL/min/1.73m

resultsA total of 48,731 patients met the Kidney Health Australia (KHA) definition for CKD and had prescriptions recorded within 90 days of measuring serum creatinine (SCr)/estimated glomerular filtration rate (eGFR). Overall, 28,729 patients were prescribed one or more of the 49 medications of interest. Approximately 35% (n = 9926) of these patients had at least one PIP based on either the Cockcroft-Gault (CG) equation or eGFR (CKD-EPI; CKD-Epidemiology Collaboration Equation). There was good agreement between CG and eGFR while determining the appropriateness of medications, with approximately 97% of the medications classified as appropriate by eGFR also being considered appropriate by the CG equation.

conclusionThis study highlights that PIP commonly occurs in primary care patients with CKD and the need for further research to understand why and how this can be minimised. The findings also show that the eGFR provides clinicians a potential alternative to the CG formula when estimating kidney function to guide drug appropriateness and dosing.

Indexed as

Renal Insufficiency, ChronicAdultAgedAged, 80 and overAustraliaContraindications, DrugCreatinineFemaleGlomerular Filtration RateHumansInappropriate PrescribingMaleMiddle AgedPharmaceutical PreparationsRetrospective StudiesCreatininePharmaceutical PreparationsDrug dosingInappropriate prescribingKidney disease

Identifiers

PMID32503456
PMCPMC7275522
OpenAlexW3032980977

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.