Evidence mapPaperPMID 33947664Full record

ArticleThe British journal of general practice : the journal of the Royal College of General Practitioners2021

Potentially inappropriate primary care prescribing in people with chronic kidney disease: a cross-sectional analysis of a large population cohort.

Clare MacRae, Stewart Mercer, Bruce Guthrie

Open access · hybridAbstract read
In one paragraph

Article in The British journal of general practice : the journal of the Royal College of General Practitioners, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.5field-weighted citation impact, top 36% 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

12 citing papers in PubMed, 18 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

3 authors at 1 institution in 1 country.

Clare MacRaeUsher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh.
Stewart MercerUsher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh.
Bruce GuthrieUsher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh.
University of Edinburgh · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMany drugs should be avoided or require dose-adjustment in chronic kidney disease (CKD). Previous estimates of potentially inappropriate prescribing rates have been based on data on a limited number of drugs, and mainly in secondary care settings.

aimTo determine the prevalence of contraindicated and potentially inappropriate primary care prescribing in a complete population of people with known CKD. DESIGN AND

settingCross-sectional study of prescribing patterns in a complete geographical population of people with CKD, defined using laboratory data.

methodDrugs were organised by British National Formulary advice - contraindicated drugs: 'avoid'; potentially high-risk (PHR) drugs: 'avoid if possible'; and dose-inappropriate (DI) drugs: 'dose exceeded recommended maximums'. CKD was defined as estimated glomerular filtration rate (eGFR)

resultsIn total, 28 489 people with CKD were included in the analysis, of whom 70.1% had CKD stage 3a, 22.4% CKD stage 3b, 5.9% CKD stage 4, and 1.5% CKD stage 5. A total of 3.9% (95% confidence interval [CI] = 3.7 to 4.1) of people with CKD stages 3a-5 were prescribed

conclusionPotentially inappropriate prescribing is common at all stages of CKD. Development and evaluation of interventions to improve prescribing safety in this high-risk population are needed.

Indexed as

Inappropriate PrescribingRenal Insufficiency, ChronicCross-Sectional StudiesGlomerular Filtration RateHumansPrimary Health Carechronic kidney diseasesepidemiologygeneral practicepotentially inappropriate prescribingrenal impairment

Identifiers

PMID33947664
PMCPMC8103925
OpenAlexW3112654731

What Socratic holds

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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.