Evidence map›Paper›PMID 38664006›Full record

Observational studyNephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association2024

Interactive exploration of adverse events and multimorbidity in CKD.

Inga Steinbrenner, Fruzsina Kotsis, Robin Kosch, Heike Meiselbach, Barbara Bärthlein, Helena Stockmann, Jan Lipovsek, Helena U Zacharias, Michael Altenbuchinger, Thomas Dienemann and 25 more

Open access · hybridAbstract readObservational Study
In one paragraph

Observational study in Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
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

35 authors at 17 institutions in 3 countries.

Inga SteinbrennerInstitute of Genetic Epidemiology, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany.ORCID 0000-0003-0851-5773
Fruzsina KotsisInstitute of Genetic Epidemiology, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany.
Robin KoschPeter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School, Hannover Medical School, Hannover, Germany.
Heike MeiselbachDepartment of Nephrology and Hypertension, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
Barbara BärthleinMedical Centre for Information and Communication Technology, University Hospital Erlangen, Erlangen, Germany.
Helena StockmannDepartment of Nephrology and Medical Intensive Care, Charité-Universitätsmedizin Berlin, Berlin, Germany.ORCID 0000-0002-0934-7620
Jan LipovsekInstitute of Genetic Epidemiology, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany.
Helena U ZachariasPeter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School, Hannover Medical School, Hannover, Germany.
Michael AltenbuchingerDepartment of Medical Bioinformatics, University Medical Center Göttingen, Göttingen, Germany.ORCID 0000-0003-1102-6532
Thomas DienemannDepartment of Operative Intensive Care, University Hospital Regensburg, Regensburg, Germany.
Monika WytopilInstitute of Clinical and Molecular Virology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
Helena BächleInstitute of Genetic Epidemiology, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany.ORCID 0000-0002-1583-7191
Claudia SommererDepartment of Nephrology, University Hospital Heidelberg, Renal Center, Heidelberg, Germany.ORCID 0000-0001-5080-0979
Stephanie TitzeDepartment of Nephrology and Hypertension, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
Anke WeigelDepartment of Nephrology and Hypertension, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
Hansi WeissensteinerInstitute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria.ORCID 0000-0002-2871-8669
Sebastian SchönherrInstitute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria.
Lukas ForerInstitute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria.ORCID 0000-0003-2139-7329
Nadine S KurzDepartment of Medical Bioinformatics, University Medical Center Göttingen, Göttingen, Germany.
Jan MenneDepartment of Nephrology, Rheumatology and Vascular Medicine, KRH Klinikum Siloah, Hannover, Germany.
Georg SchlieperZentrum für Nieren-, Hochdruck- und Stoffwechselerkrankungen, Hannover, Germany.
Markus P SchneiderDepartment of Nephrology and Hypertension, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.ORCID 0000-0002-5265-8088
Elke SchaeffnerInstitute of Public Health, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Jan T KielsteinMedical Clinic V Nephrology, Rheumatology, Blood Purification - Academic Teaching Hospital Braunschweig, Braunschweig, Germany.
Thomas SitterDepartment of Nephrology and Hypertension, Ludwig-Maximilians University, Munich, Germany.
Jürgen FloegeDivision of Nephrology and Clinical Immunology, University Hospital RWTH Aachen, Aachen, Germany.
Christoph WannerDepartment of Clinical Research and Epidemiology, German Heart Failure Center, University Hospital Würzburg, Würzburg, Germany.ORCID 0000-0001-9507-5301
Florian KronenbergInstitute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria.ORCID 0000-0003-2229-1120
Anna KöttgenInstitute of Genetic Epidemiology, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany.
Martin BuschDepartment of Internal Medicine III, Nephrology, University Hospital Jena - Friedrich Schiller University Jena, Jena, Germany.ORCID 0000-0002-7889-6156
Vera KraneDepartment of Clinical Research and Epidemiology, German Heart Failure Center, University Hospital Würzburg, Würzburg, Germany.
Matthias SchmidDepartment of Medical Biometry, Informatics, and Epidemiology, University Hospital Bonn, Bonn, Germany.
Kai-Uwe EckardtDepartment of Nephrology and Hypertension, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.ORCID 0000-0003-3823-0920
Ulla T SchultheissInstitute of Genetic Epidemiology, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany.ORCID 0000-0002-7541-5310
GCKD Investigators
Friedrich-Alexander-Universität Erlangen-Nürnberg · DEInnsbruck Medical University · ATUniversity of Freiburg · DEUniversitätsklinikum Würzburg · DERWTH Aachen University · DECharité - Universitätsmedizin Berlin · DEFriedrich Schiller University Jena · DEHeidelberg University · DELudwig-Maximilians-Universität München · DEMedizinische Hochschule Hannover · DEUniversitätsklinikum Erlangen · DEUniversitätsmedizin Göttingen · DEUniversity Hospital Bonn · DEKlinikum Braunschweig · DEKlinikum Region Hannover · DEUniversity Hospital Regensburg · DEUniversity Medical Center · US

Funding

BMBF 01ZX1912AKfH Foundation
6 · The paper itself

Abstract

backgroundPersons with chronic kidney disease (CKD) are at increased risk of adverse events, early mortality and multimorbidity. A detailed overview of adverse event types and rates from a large CKD cohort under regular nephrological care is missing. We generated an interactive tool to enable exploration of adverse events and their combinations in the prospective, observational German CKD (GCKD) study.

methodsThe GCKD study enrolled 5217 participants under regular nephrological care with an estimated glomerular filtration rate of 30-60 or >60 mL/min/1.73 m2 and an overt proteinuria. Cardiovascular, cerebrovascular and peripheral vascular, kidney, infection, and cancer events, as well as deaths were adjudicated following a standard operation procedure. We summarized these time-to-event data points for exploration in interactive graphs within an R shiny app. Multivariable adjusted Cox models for time to first event were fitted. Cumulative incidence functions, Kaplan-Meier curves and intersection plots were used to display main adverse events and their combinations by sex and CKD etiology.

resultsOver a median of 6.5 years, 10 271 events occurred in 2947 participants (56.5%), of which 680 participants (13.0%) died. The new publicly available interactive platform enables readers to scrutinize adverse events and their combinations as well as mortality trends as a gateway to better understand multimorbidity in CKD: incident rates per 1000 patient-years varied by event type, CKD etiology and baseline characteristics. Incidence rates for the most frequent events and their recurrence were 113.6 (cardiovascular), 75.0 (kidney) and 66.0 (infection). Participants with presumed diabetic kidney disease and men were more prone to experiencing events.

conclusionThis comprehensive explorative tool to visualize adverse events (https://www.gckd.org/studienhintergrund/previous-study-results/event-analysis/), their combination, mortality and multimorbidity among persons with CKD may serve as a valuable resourec for patient care, identification of high-risk groups, health services and public health policy planning.

Indexed as

MultimorbidityRenal Insufficiency, ChronicAgedFemaleFollow-Up StudiesGermanyGlomerular Filtration RateHumansIncidenceMaleMiddle AgedPrognosisProspective StudiesRisk FactorsSurvival Rateadverse eventschronic kidney diseaseepidemiologyinteractive visualizationmultimorbidity

Identifiers

PMID38664006
PMCPMC11596092
OpenAlexW4395677982

What OpenQuestion holds

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LicenceCC BY-NC
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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.