Evidence map›Paper›PMID 38378456›Full record

ArticleBMC nephrology2024

Identifying individuals at risk of needing CKD associated medications in a European kidney disease cohort.

Eleni Stamellou, Turgay Saritas, Marc Froissart, Florian Kronenberg, Peter Stenvinkel, David C Wheeler, Kai-Uwe Eckardt, Jürgen Floege, James Fotheringham

Open access · goldAbstract read
In one paragraph

Article in BMC nephrology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 98% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

9 authors at 8 institutions in 6 countries.

Eleni StamellouDivision of Nephrology and Clinical Immunology, RWTH University of Aachen, Aachen, Germany. stamellou.eleni@gmail.com.
Turgay SaritasDivision of Nephrology and Clinical Immunology, RWTH University of Aachen, Aachen, Germany.
Marc FroissartCentre de Recherche Clinique (CRC), Lausanne University Hospital, Lausanne, Switzerland.
Florian KronenbergDepartment of Genetics, Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria.
Peter StenvinkelDivision of Renal Medicine, Department of Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm, Sweden.
David C WheelerDepartment of Renal Medicine, University College London, London, United Kingdom.
Kai-Uwe EckardtDepartment of Nephrology and Medical Intensive Care, Charité-Universitätsmedizin Berlin, Berlin, Germany.
Jürgen FloegeDivision of Nephrology and Clinical Immunology, RWTH University of Aachen, Aachen, Germany.
James FotheringhamNorthern General Hospital, Sheffield Kidney Institute, Herries Road, Sheffield, South Yorkshire, S5 7AU, United Kingdom.
RWTH Aachen University · DECharité - Universitätsmedizin Berlin · DEInnsbruck Medical University · ATKarolinska Institutet · SENorthern General Hospital · GBUniversity College London · GBUniversity Hospital of Ioannina · GRUniversity of Lausanne · CH

Funding

Bundesministerium für Bildung und Forschung STOP-FSGS-01GM2202CDeutsche Forschungsgemeinschaft 445703531
6 · The paper itself

Abstract

backgroundThe consequences of chronic kidney disease (CKD) can be addressed with a range of pharmacotherapies primarily prescribed by nephrologists. More accurate information regarding future CKD-related pharmacotherapy requirements could guide clinical decisions including follow-up frequency.

methodsFollowing assignment to derivation and validation groups (2,1), variables predicting individually future use of vitamin D receptor agonists (VDRA), phosphate binders, erythropoiesis stimulating agents (ESAs) and iron were identified using logistic regression in a prospective cohort study containing demography, comorbidity, hospitalization, laboratory, and mortality data in patients with CKD stage G4/G5 across six European countries. Discriminative ability was measured using C-statistics, and predicted probability of medication use used to inform follow-up frequency.

resultsA total of 2196 patients were included in the analysis. During a median follow-up of 735 days 648 initiated hemodialysis and 1548 did not. Combinations of age, diabetes status and iPTH, calcium, hemoglobin and serum albumin levels predicted the use of ESA, iron, phosphate binder or VDRA, with C-statistics of 0.70, 0.64, 0.73 and 0.63 in derivation cohorts respectively. Model performance in validation cohorts were similar. Sixteen percent of patients were predicted to have a likelihood of receiving any of these medications of less than 20%.

conclusionsIn a multi-country CKD cohort, prediction of ESA and phosphate binder use over a two-year period can be made based on patient characteristics with the potential to reduce frequency of follow-up in individuals with low risk for requiring these medications.

Indexed as

Renal Insufficiency, ChronicHumansIronPhosphatesProspective StudiesRenal DialysisIronPhosphatesCKD G4/G5CKD-MBDESAsPhosphate bindersRenal anemiaVDRA

Identifiers

PMID38378456
PMCPMC10880231
OpenAlexW4391954162

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.