Evidence map›Paper›PMID 35243307›Full record

ArticleKidney medicine2022

Potential Surrogate Outcomes for Kidney Failure in Advanced CKD: Evaluation of Power and Predictive Ability in CKDopps.

Jarcy Zee, Daniel Muenz, Keith P McCullough, Brian Bieber, Marie Metzger, Natalia Alencar de Pinho, Antonio A Lopes, Danilo Fliser, Bruce M Robinson, Eric Young and 4 more

Open access · goldAbstract read
In one paragraph

Article in Kidney medicine, 2022. 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
0.6field-weighted citation impact, top 33% 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, 7 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 7 institutions in 4 countries.

Jarcy ZeeDepartment of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania.
Daniel MuenzArbor Research Collaborative for Health, Ann Arbor, Michigan.
Keith P McCulloughArbor Research Collaborative for Health, Ann Arbor, Michigan.
Brian BieberArbor Research Collaborative for Health, Ann Arbor, Michigan.
Marie MetzgerFrench Institute of Health and Medical Research (INSERM), Villejuif, France.
Natalia Alencar de PinhoFrench Institute of Health and Medical Research (INSERM), Villejuif, France.
Antonio A LopesDepartment of Internal Medicine, Federal University of Bahia, Salvador, Brazil.
Danilo FliserUniversitatsklinikum des Saarlandes und Medizinische Fakultat der Universitat des Saarlandes, Homburg, Saarland, Germany.
Bruce M RobinsonArbor Research Collaborative for Health, Ann Arbor, Michigan.
Eric YoungArbor Research Collaborative for Health, Ann Arbor, Michigan.
Ronald L PisoniArbor Research Collaborative for Health, Ann Arbor, Michigan.
Bénédicte StengelFrench Institute of Health and Medical Research (INSERM), Villejuif, France.
Roberto Pecoits-FilhoArbor Research Collaborative for Health, Ann Arbor, Michigan.
CKDopps Investigators
Arbor Research Collaborative for Health · USInserm · FRUniversidade Federal da Bahia · BRChildren's Hospital of Philadelphia · USPontifícia Universidade Católica do Paraná · BRSaarland University · DEUniversitätsklinikum des Saarlandes · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RATIONALE &

objectivePotential surrogate end points for kidney failure have been proposed in chronic kidney disease (CKD); however, they must be evaluated to ensure accurate, powerful, and harmonized research, particularly among patients with advanced CKD. The aim of the current study was to investigate the power and predictive ability of surrogate kidney failure end points in a population with moderate-to-advanced CKD. STUDY

designAnalysis of longitudinal data of a large multinational CKD observational study (Chronic Kidney Disease Outcomes and Practice Patterns Study). SETTING &

participantsCKD stage 3-5 patients from Brazil, France, Germany, and the United States. OUTCOMES: Reaching an estimated glomerular filtration rate (eGFR) < 15 mL/min/1.73 m ANALYTICAL APPROACH: Each end point was used as a time-varying indicator in the Cox model to predict the time to kidney replacement therapy (KRT; dialysis or transplant) and was compared by the number of events and prediction accuracy.

results8,211 patients had a median baseline eGFR of 27 mL/min/1.73 m LIMITATIONS: Variable visit frequency resulted in variable eGFR measurement frequency.

conclusionsThe composite end point can be useful for CKD progression studies among patients with advanced CKD. Harmonized use of this approach has the potential to accelerate the translation of new discoveries to clinical practice by identifying risk factors and treatments for kidney failure.

Indexed as

Chronic kidney disease progressioncomposite outcomesestimated glomerular filtration ratekidney failuresurrogate end points

Identifiers

PMID35243307
PMCPMC8861958
OpenAlexW4200625599

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.