Evidence map›Paper›PMID 39112637›Full record

ArticlePediatric nephrology (Berlin, Germany)2024

The spectrum of co-existing disease in children with established kidney failure using registry and linked electronic health record data.

Lucy Plumb, Retha Steenkamp, Alexander J Hamilton, Heather Maxwell, Carol D Inward, Stephen D Marks, Dorothea Nitsch

Abstract read
In one paragraph

Article in Pediatric nephrology (Berlin, Germany), 2024. 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

7 authors.

Lucy PlumbUK Renal Registry, UK Kidney Association, Brandon House Building 20A1, Filton 20, Filton, Bristol, BS34 7RR, UK. lucy.plumb@nhs.net.ORCID 0000-0002-3873-8567
Retha SteenkampUK Renal Registry, UK Kidney Association, Brandon House Building 20A1, Filton 20, Filton, Bristol, BS34 7RR, UK.
Alexander J HamiltonPopulation Health Sciences, University of Bristol Medical School, Bristol, UK.
Heather MaxwellDepartment of Paediatric Nephrology, Royal Hospital for Children, Glasgow, UK.
Carol D InwardDepartment of Paediatric Nephrology, University Hospitals Bristol & Weston NHS Foundation Trust, Bristol, UK.
Stephen D MarksDepartment of Paediatric Nephrology, Great Ormond Street Hospital for Children, NHS Foundation Trust, London, UK.
Dorothea NitschUK Renal Registry, UK Kidney Association, Brandon House Building 20A1, Filton 20, Filton, Bristol, BS34 7RR, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChildren with established kidney failure may have additional medical conditions influencing kidney care and outcomes. This cross-sectional study aimed to examine the prevalence of co-existing diseases captured in the electronic hospital record compared to UK Renal Registry (UKRR) data and differences in coding.

methodsThe study population comprised children aged < 18 years receiving kidney replacement therapy (KRT) in England and Wales on 31/12/2016. Comorbidity data at KRT start was examined in the hospital record and compared to UKRR data. Agreement was assessed by the kappa statistic. Associations between patient and clinical factors and likelihood of coding were examined using multivariable logistic regression.

resultsA total of 869 children (62.5% male) had data linkage for inclusion. UKRR records generally reported a higher prevalence of co-existing disease than electronic health records; congenital, non-kidney disease was most commonly reported across both datasets. The highest sensitivity in the hospital record was seen for congenital heart disease (odds ratio (OR) 0.65, 95% confidence interval (CI) 0.51, 0.78) and malignancy (OR 0.63, 95% CI 0.41, 0.85). At best, moderate agreement (kappa ≥ 0.41) was seen between the datasets. Factors associated with higher odds of coding in hospital records included age, while kidney disease and a higher number of comorbidities were associated with lower odds of coding.

conclusionsHealth records generally under-reported co-existing disease compared to registry data with fair-moderate agreement between datasets. Electronic health records offer a non-selective overview of co-existing disease facilitating audit and research, but registry processes are still required to capture paediatric-specific variables pertinent to kidney disease.

Indexed as

ComorbidityElectronic Health RecordsRegistriesAdolescentChildChild, PreschoolCross-Sectional StudiesEnglandFemaleHumansInfantInfant, NewbornMalePrevalenceRenal InsufficiencyRenal Replacement TherapyChildComorbidityElectronic health recordsKidney failureKidney replacement therapyPaediatrics

Identifiers

PMID39112637
PMCPMC11511698

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