Evidence map›Paper›PMID 36481179›Full record

ArticleKidney international2023

A polygenic score for reduced kidney function and adverse outcomes in a cohort with chronic kidney disease.

Inga Steinbrenner, Zhi Yu, Jin Jin, Ulla T Schultheiss, Fruzsina Kotsis, Morgan E Grams, Josef Coresh, Matthias Wuttke, GCKD Investigators, Florian Kronenberg and 4 more

Open access · hybridAbstract read
In one paragraph

Article in Kidney international, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

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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

14 authors at 5 institutions in 3 countries.

Inga SteinbrennerInstitute of Genetic Epidemiology, Department of Data Driven Medicine, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.
Zhi YuBroad Institute of MIT and Harvard, Cambridge, Massachusetts, USA; Cardiovascular Research Center, Massachusetts General Hospital, Boston, Massachusetts, USA; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Jin JinDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Ulla T SchultheissInstitute of Genetic Epidemiology, Department of Data Driven Medicine, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany; Department of Medicine IV-Nephrology and Primary Care, University of Freiburg, Freiburg, Germany.
Fruzsina KotsisInstitute of Genetic Epidemiology, Department of Data Driven Medicine, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany; Department of Medicine IV-Nephrology and Primary Care, University of Freiburg, Freiburg, Germany.
Morgan E GramsDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA; Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, Maryland, USA; Department of Medicine, New York University Grossman School of Medicine, New York, New York, USA.
Josef CoreshDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA; Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, Maryland, USA; Department of Medicine, New York University Grossman School of Medicine, New York, New York, USA.
Matthias WuttkeInstitute of Genetic Epidemiology, Department of Data Driven Medicine, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany; Department of Medicine IV-Nephrology and Primary Care, University of Freiburg, Freiburg, Germany.
GCKD Investigators
Florian KronenbergInstitute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria.
Kai-Uwe EckardtDepartment of Nephrology and Medical Intensive Care, Charité-Universitätsmedizin Berlin, Berlin, Germany; Department of Nephrology and Hypertension, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
Nilanjan ChatterjeeDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA; Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Peggy SekulaInstitute of Genetic Epidemiology, Department of Data Driven Medicine, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.
Anna KöttgenInstitute of Genetic Epidemiology, Department of Data Driven Medicine, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA. Electronic address: anna.koettgen@uniklinik-freiburg.de.
Johns Hopkins University · USUniversity of Freiburg · DEBroad Institute · USFriedrich-Alexander-Universität Erlangen-Nürnberg · DEInnsbruck Medical University · AT

Funding

TRAINING PROGRAM IN CARDIOVASCULAR RESEARCHT32HL007604 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI MARK W FEINBERG · 1985 to 2026
$19.0M
Robust Methods for Polygenic Analysis to Inform Disease Etiology and Enhance Risk PredictionR01HG010480 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI CHATTERJEE, NILANJAN · 2019 to 2023
$2.8M
Multi-ethnic risk prediction for complex human diseases integrating multi-source genetic and non-genetic informationR00HG012223 · NHGRI · UNIVERSITY OF PENNSYLVANIA · PI JIN, JIN · 2023 to 2025
$727k
Multi-ethnic risk prediction for complex human diseases integrating multi-source genetic and non-genetic informationK99HG012223 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI JIN, JIN · 2022 to 2022
$95k
Medical Research Council MC_PC_17228Medical Research Council MC_QA137853NHGRI NIH HHS K99 HG012223NHGRI NIH HHS R00 HG012223NHGRI NIH HHS R01 HG010480NHLBI NIH HHS T32 HL007604
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Multifactorial InheritanceRenal Insufficiency, ChronicHumansKidneyRisk Factorschronic kidney diseasekidney functionpolygenic score

Identifiers

PMID36481179
PMCPMC9868068
OpenAlexW4312094358

What OpenQuestion holds

Textmetadata
LicenceTDM
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.