Evidence map›Paper›PMID 33432542›Full record

SynthesisAdvances in therapy2021

Costs and Healthcare Resource Use Associated with Risk of Cardiovascular Morbidity in Patients with Chronic Kidney Disease: Evidence from a Systematic Literature Review.

Oliver Darlington, Carissa Dickerson, Marc Evans, Phil McEwan, Elisabeth Sörstadius, Daniel Sugrue, Heleen van Haalen, Juan Jose Garcia Sanchez

Open access · hybridAbstract readSystematic Review
In one paragraph

Synthesis in Advances in therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 2 pooled it
8.7field-weighted citation impact, top 1% 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

39 citing papers in PubMed, 2 syntheses or guidelines pooled it, 77 citations in OpenAlex.

  1. Global health inequalities of chronic kidney disease: a meta-analysis.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2024
    Pooled it
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  4. Temporal trends in healthcare resource use and costs of chronic kidney disease in a Spanish population: the REDIC study.The European journal of health economics : HEPAC : health economics in prevention and care · 2026
    Article
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  15. Review
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  19. Interactive exploration of adverse events and multimorbidity in CKD.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2024
    Observational
  20. Observational
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

8 authors at 4 institutions in 2 countries.

Oliver DarlingtonHealth Economics and Outcomes Research Ltd., Cardiff, UK.
Carissa DickersonHealth Economics and Outcomes Research Ltd., Cardiff, UK.
Marc EvansDiabetes Resource Centre, Llandough Hospital, Cardiff, UK.
Phil McEwanHealth Economics and Outcomes Research Ltd., Cardiff, UK.
Elisabeth SörstadiusGlobal Market Access and Pricing, AstraZeneca, Mölndal, Sweden.
Daniel SugrueHealth Economics and Outcomes Research Ltd., Cardiff, UK.
Heleen van HaalenGlobal Market Access and Pricing, AstraZeneca, Mölndal, Sweden.
Juan Jose Garcia SanchezGlobal Market Access and Pricing, AstraZeneca, Cambridge, UK. juanjose.garciasanchez@astrazeneca.com.
Health Economics and Outcomes Research (United Kingdom) · GBAstraZeneca (Sweden) · SEAstraZeneca (United Kingdom) · GBUniversity Hospital Llandough · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe management of chronic kidney disease (CKD) costs in excess of $114 billion in the USA and £1.45 billion in the UK annually and is projected to increase alongside the increasing disease prevalence. The aim of this review was to evaluate the risks of cardiovascular (CV) morbidity, CV mortality or all-cause mortality based on KDIGO (Kidney Disease: Improving Global Outcomes) 2012 categorisations and estimate the additional costs and healthcare resource utilisation associated with CV morbidity linked to CKD severity in US and UK settings.

methodsA systematic literature review was conducted of studies reporting on the risk of CV morbidity, CV mortality or all-cause mortality characterised by CKD severity (published between January 2000 and September 2018). Additional costs and bed days associated with CKD severity in the USA and UK were estimated on the basis of median hazard ratios for CV morbidity risk at each CKD and albuminuria stage.

resultsTwenty-nine studies reported risk of adverse clinical outcomes based on KDIGO categorisations. Compared to stage 1 (or without) CKD, patients with stage 5 CKD and macroalbuminuria experienced a relative risk increase of 11.77-12.46 across all outcomes. Additional costs and bed days associated with stage 5 CKD and macroalbuminuria (versus stage 1 (or without) CKD) per 1000 patient years were US$3.93 million and 803 bed days and £435,000 and 1017 bed days, in the USA and UK, respectively.

conclusionRisks of adverse clinical outcomes increase with CKD and albuminuria severity and are associated with substantial additional costs and resource utilisation. Thus, early diagnosis and proactive management of CKD and its complications should be a priority for healthcare providers to alleviate the burden of CV morbidity and its management on healthcare resources.

Indexed as

Cardiovascular DiseasesRenal Insufficiency, ChronicCosts and Cost AnalysisDelivery of Health CareDisease ProgressionHumansAlbuminuriaCardiovascular morbidityChronic kidney diseaseHealthcare resource utilisationSystematic literature review

Identifiers

PMID33432542
PMCPMC7889525
OpenAlexW3120584689

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.