Evidence map›Paper›PMID 24628838›Full record

SynthesisBMC nephrology2014

Regression methods for investigating risk factors of chronic kidney disease outcomes: the state of the art.

Julie Boucquemont, Georg Heinze, Kitty J Jager, Rainer Oberbauer, Karen Leffondre

Abstract readMeta-AnalysisReview
In one paragraph

Synthesis in BMC nephrology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Statistical consideration in nephrology research.Kidney research and clinical practice · 2025
    Article
  6. Article
  7. Article
  8. Association of eGFR and mortality with use of a joint model: results of a nationwide study in Iceland.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2023
    Article
  9. Significance of podocyte DNA damage and glomerular DNA methylation in CKD patients with proteinuria.Hypertension research : official journal of the Japanese Society of Hypertension · 2023
    Article
  10. Article
  11. Article
  12. Observational
  13. Urinary excretion of epidermal growth factor and rapid loss of kidney function.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2021
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

5 authors.

Julie Boucquemont
Georg Heinze
Kitty J Jager
Rainer Oberbauer
Karen LeffondreUniversity of Bordeaux, ISPED, Centre INSERM U897-Epidemiology-Biostatistics, Bordeaux F33000, France. karen.leffondre@isped.u-bordeaux2.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic kidney disease (CKD) is a progressive and usually irreversible disease. Different types of outcomes are of interest in the course of CKD such as time-to-dialysis, transplantation or decline of the glomerular filtration rate (GFR). Statistical analyses aiming at investigating the association between these outcomes and risk factors raise a number of methodological issues. The objective of this study was to give an overview of these issues and to highlight some statistical methods that can address these topics.

methodsA literature review of statistical methods published between 2002 and 2012 to investigate risk factors of CKD outcomes was conducted within the Scopus database. The results of the review were used to identify important methodological issues as well as to discuss solutions for each type of CKD outcome.

resultsThree hundred and four papers were selected. Time-to-event outcomes were more often investigated than quantitative outcome variables measuring kidney function over time. The most frequently investigated events in survival analyses were all-cause death, initiation of kidney replacement therapy, and progression to a specific value of GFR. While competing risks were commonly accounted for, interval censoring was rarely acknowledged when appropriate despite existing methods. When the outcome of interest was the quantitative decline of kidney function over time, standard linear models focussing on the slope of GFR over time were almost as often used as linear mixed models which allow various numbers of repeated measurements of kidney function per patient. Informative dropout was accounted for in some of these longitudinal analyses.

conclusionsThis study provides a broad overview of the statistical methods used in the last ten years for investigating risk factors of CKD progression, as well as a discussion of their limitations. Some existing potential alternatives that have been proposed in the context of CKD or in other contexts are also highlighted.

Indexed as

Data Interpretation, StatisticalProportional Hazards ModelsAge DistributionGlomerular Filtration RateHumansKidney TransplantationOutcome Assessment, Health CarePrevalenceRegression AnalysisRenal DialysisRenal Insufficiency, ChronicReproducibility of ResultsRisk AssessmentSensitivity and SpecificitySex DistributionSurvival Analysis

Identifiers

PMID24628838
PMCPMC4004351

What OpenQuestion holds

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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.