Evidence map›Paper›PMID 36220323›Full record

ArticleBMJ open2022

Association between practice coding of chronic kidney disease (CKD) in primary care and subsequent hospitalisations and death: a cohort analysis using national audit data.

Faye Cleary, Lois Kim, David Prieto-Merino, David Wheeler, Retha Steenkamp, Richard Fluck, David Adlam, Spiros Denaxas, Kathryn Griffith, Fiona Loud and 3 more

Open access · goldFull text read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Coded and uncoded chronic kidney disease: an explainer.The British journal of general practice : the journal of the Royal College of General Practitioners · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. 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

13 authors at 9 institutions in 2 countries.

Faye ClearyDepartment of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK faye.cleary@lshtm.ac.uk.ORCID 0000-0001-8401-2305
Lois KimCardiovascular Epidemiology Unit, University of Cambridge, Cambridge, UK.
David Prieto-MerinoDepartment of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK.
David WheelerDepartment of Renal Medicine, University College London, London, UK.
Retha SteenkampUK Renal Registry, UK Kidney Association, Bristol, UK.
Richard FluckDepartment of Renal Medicine, Royal Derby Hospital, Derby, UK.
David AdlamDepartment of Cardiovascular Sciences and NIHR Leicester Biomedical Research Centre, University of Leicester, Leicester, UK.
Spiros DenaxasInstitute of Health Informatics, University College London, London, UK.
Kathryn GriffithNo affiliation, retired, York, UK.
Fiona LoudDirector of Policy, Kidney Care UK, Alton, UK.
Sally HullWolfson Institute of Population Health, Queen Mary University of London, London, UK.ORCID 0000-0002-8691-7519
Ben CaplinDepartment of Renal Medicine, University College London, London, UK.ORCID 0000-0001-9544-164X
Dorothea NitschDepartment of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK.
London School of Hygiene & Tropical Medicine · GBUniversity College London · GBBritish Heart Foundation · GBKidney Care UK · GBQueen Mary University of London · GBRenal Association · GBRoyal Derby Hospital · GBUniversity of Cambridge · GBUniversity of Leicester · GB

Funding

Medical Research Council MC_PC_20030Medical Research Council MC_PC_20051Medical Research Council MC_PC_20059
6 · The paper itself

Abstract

objectiveTo examine the association between practice percentage coding of chronic kidney disease (CKD) in primary care with risk of subsequent hospitalisations and death.

designRetrospective cohort study using linked electronic healthcare records.

setting637 general practitioner (GP) practices in England.

participants167 208 patients with CKD stages 3-5 identified by 2 measures of estimated glomerular filtration rate <60 mL/min/1.73 m

main outcome measuresHospitalisations with cardiovascular (CV) events, heart failure (HF), acute kidney injury (AKI) and all-cause mortality

resultsParticipants were followed for (median) 3.8 years for hospital outcomes and 4.3 years for deaths. Rates of hospitalisations with CV events and HF were lower in practices with higher percentage CKD coding. Trends of a small reduction in AKI but no substantial change in rate of deaths were also observed as CKD coding increased. Compared with patients in the median performing practice (74% coded), patients in practices coding 55% of CKD cases had a higher rate of CV hospitalisations (HR 1.061 (95% CI 1.015 to 1.109)) and HF hospitalisations (HR 1.097 (95% CI 1.013 to 1.187)) and patients in practices coding 88% of CKD cases had a reduced rate of CV hospitalisations (HR 0.957 (95% CI 0.920 to 0.996)) and HF hospitalisations (HR 0.918 (95% CI 0.855 to 0.985)). We estimate that 9.0% of CV hospitalisations and 16.0% of HF hospitalisations could be prevented by improving practice CKD coding from 55% to 88%. Prescription of antihypertensives was the most dominant predictor of a reduction in hospitalisation rates for patients with CKD, followed by albuminuria testing and use of statins.

conclusionsHigher levels of CKD coding by GP practices were associated with lower rates of CV and HF events, which may be driven by increased use of antihypertensives and regular albuminuria testing, although residual confounding cannot be ruled out.

Indexed as

Acute Kidney InjuryHeart FailureHydroxymethylglutaryl-CoA Reductase InhibitorsRenal Insufficiency, ChronicAlbuminuriaAntihypertensive AgentsCohort StudiesGlomerular Filtration RateHospitalizationHumansPrimary Health CareRetrospective StudiesAntihypertensive AgentsHydroxymethylglutaryl-CoA Reductase InhibitorsChronic renal failureEPIDEMIOLOGYPRIMARY CAREPUBLIC HEALTHQuality in health care

Identifiers

PMID36220323
PMCPMC9558803
OpenAlexW4304203046

What OpenQuestion holds

Textfull text, public
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.