Evidence map›Paper›PMID 39534204›Full record

ArticleKidney international reports2024

IMPACT CKD: Holistic Disease Model Projecting 10-Year Population Burdens.

Stephen Brown, Juan J Garcia Sanchez, Hannah Guiang, Stacey Priest, David C Wheeler, Ana F Moura, Charlotte Johnston-Webber, Jieling Chen

Abstract read
In one paragraph

Article in Kidney international reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
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  12. IMPACT CKD - All Roads Must not Lead to Dialysis.Kidney international reports · 2025
    Article
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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

8 authors.

Stephen BrownEVERSANA, Burlington, Ontario, Canada.
Juan J Garcia SanchezAstraZeneca, Barcelona, Spain.
Hannah GuiangEVERSANA, Burlington, Ontario, Canada.
Stacey PriestEVERSANA, Burlington, Ontario, Canada.
David C WheelerUniversity College London, London, UK.
Ana F MouraSociedade Brasileira de Nefrologia, São Paulo, Brazil.
Charlotte Johnston-WebberLondon School of Economics, London, UK.
Jieling ChenAstraZeneca, Maryland, US.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The significant burden of chronic kidney disease (CKD) is not recognized as a global public health priority, although policies aimed at delaying progression to later stages are required. Therefore, there is need for a holistic disease model to inform decision making that accounts for the multidimensional impact of CKD, and the interrelated factors that modulate progression. Methods: IMPACT CKD is a microsimulation model that simulates CKD progression and incorporates the effect of clinical events and comorbidities. CKD status is assigned using estimated glomerular filtration rate (eGFR) and albuminuria levels, and CKD progression is predicted by an annual eGFR decline rate. The model projects clinical, health care resource use, economic, patient, societal, and environmental burdens from 2022 to 2032. During development, face, technical, and external validity were evaluated, with calibration conducted to population data. Further, cross-validation was conducted against 2 published models. The United Kingdom (UK) was selected as the case study for validation. Results: A 7.7% increase in the CKD population by 2032 was predicted, with increasing numbers of patients with CKD stage 3 to 5 (21.7%), dialysis (75.3%), and transplantation (58.7%). The increase of patients on renal replacement therapy (RRT) results in an increase of 75% across freshwater use, fossil fuel depletion, and CO Conclusion: The IMPACT CKD model is a robust simulation that delivers validated forecasts of the holistic CKD burden, which can support evaluation of diverse health policies and treatment strategies.

Indexed as

burden of diseasechronic kidney diseaseepidemiologymicrosimulation model

Identifiers

PMID39534204
PMCPMC11551131

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.