Evidence map›Paper›PMID 38740502›Full record

ArticleBMJ open2024

Association between non-registration of chronic kidney disease and mortality and cardiovascular outcome: a time-to-event analysis of retrospective primary care data.

Ine Van den Wyngaert, Pavlos Mamouris, Endale Alemayehu Ali, Bert Vaes, Gijs Van Pottelbergh

Abstract read
In one paragraph

Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Ine Van den WyngaertDepartment of Public Health and Primary Care, KU Leuven, Leuven, Belgium ine.vandenwyngaert@kuleuven.be.ORCID 0000-0001-5515-4750
Pavlos MamourisDepartment of Public Health and Primary Care, KU Leuven, Leuven, Belgium.
Endale Alemayehu AliDepartment of Public Health and Primary Care, KU Leuven, Leuven, Belgium.
Bert VaesDepartment of Public Health and Primary Care, KU Leuven, Leuven, Belgium.ORCID 0000-0001-5244-1930
Gijs Van PottelberghDepartment of Public Health and Primary Care, KU Leuven, Leuven, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivePatients with impaired kidney function and increased albuminuria are at risk of developing cardiovascular disease (CVD). Previous research has revealed that a substantial proportion of patients with chronic kidney disease (CKD) do not get a registered diagnosis in the electronic health record of the general practitioner. The aim of this study was to investigate the association between non-registration of CKD and all-cause mortality and cardiovascular outcome. DESIGN AND

settingA retrospective study in primary care.

methodsThe analyses were carried out in the INTEGO database, a general practice-based morbidity registration network in Flanders, Belgium. The study used INTEGO data from the year 2018 for all patients ≥18 years old, including 10 551 patients. To assess the risk of mortality and CVD, a time-to-event analysis was performed. Cox proportional hazard model was used to evaluate the association between non-registration and incidence of all-cause mortality and cardiovascular events with mortality as a competing risk. Subgroup analyses were performed for estimated glomerular filtration rate stages (3A, 3B, 4 and 5). Multiple imputation was done following the methodology of Mamouris

conclusionAn association between non-registration and all-cause mortality was identified, although no such association was apparent for CVD.

Indexed as

Cardiovascular DiseasesGlomerular Filtration RatePrimary Health CareRenal Insufficiency, ChronicAdultAgedBelgiumCause of DeathElectronic Health RecordsFemaleHumansMaleMiddle AgedProportional Hazards ModelsRetrospective StudiesRisk Factorscardiologychronic renal failuremortality

Identifiers

PMID38740502
PMCPMC11097823

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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.