Evidence map›Paper›PMID 21984554›Full record

ArticleNephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association2012

Estimating individual glomerular volume in the human kidney: clinical perspectives.

Victor G Puelles, Monika A Zimanyi, Terence Samuel, Michael D Hughson, Rebecca N Douglas-Denton, John F Bertram, James A Armitage

Abstract readComparative Study
In one paragraph

Article in Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–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

15 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Clinical and Pathology Findings Associate Consistently with Larger Glomerular Volume.Journal of the American Society of Nephrology : JASN · 2018
    Article
  8. Article
  9. The Renal Pathology of Obesity.Kidney international reports · 2017
    Review
  10. Detection and Clinical Patterns of Nephron Hypertrophy and Nephrosclerosis Among Apparently Healthy Adults.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2016
    Article
  11. Article
  12. Glomerular hypertrophy in subjects with low nephron number: contributions of sex, body size and race.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2014
    Article
  13. Hypertension, glomerular hypertrophy and nephrosclerosis: the effect of race.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2014
    Article
  14. MRI-based glomerular morphology and pathology in whole human kidneys.American journal of physiology. Renal physiology · 2014
    Article
  15. The emerging role of MRI in quantitative renal glomerular morphology.American journal of physiology. Renal physiology · 2013
    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

7 authors.

Victor G PuellesDepartment of Anatomy and Developmental Biology, Monash University, Melbourne, Australia.
Monika A Zimanyi
Terence Samuel
Michael D Hughson
Rebecca N Douglas-Denton
John F Bertram
James A Armitage

Funding

Nephron Count, Birth Weight &Hypertensive Renal DiseaseR01DK065970 · NIDDK · UNIVERSITY OF MISSISSIPPI MEDICAL CENTER · PI HUGHSON, MICHAEL DONALD · 2004 to 2006
$659k
NIDDK NIH HHS 1 RO1 DK065970-01PHS HHS 5P20M000534-02
6 · The paper itself

Abstract

backgroundMeasurement of individual glomerular volumes (IGV) has allowed the identification of drivers of glomerular hypertrophy in subjects without overt renal pathology. This study aims to highlight the relevance of IGV measurements with possible clinical implications and determine how many profiles must be measured in order to achieve stable size distribution estimates.

methodsWe re-analysed 2250 IGV estimates obtained using the disector/Cavalieri method in 41 African and 34 Caucasian Americans. Pooled IGV analysis of mean and variance was conducted. Monte-Carlo (Jackknife) simulations determined the effect of the number of sampled glomeruli on mean IGV. Lin's concordance coefficient (R(C)), coefficient of variation (CV) and coefficient of error (CE) measured reliability.

resultsIGV mean and variance increased with overweight and hypertensive status. Superficial glomeruli were significantly smaller than juxtamedullary glomeruli in all subjects (P < 0.01), by race (P < 0.05) and in obese individuals (P < 0.01). Subjects with multiple chronic kidney disease (CKD) comorbidities showed significant increases in IGV mean and variability. Overall, mean IGV was particularly reliable with nine or more sampled glomeruli (R(C) > 0.95, <5% difference in CV and CE). These observations were not affected by a reduced sample size and did not disrupt the inverse linear correlation between mean IGV and estimated total glomerular number.

conclusionsMultiple comorbidities for CKD are associated with increased IGV mean and variance within subjects, including overweight, obesity and hypertension. Zonal selection and the number of sampled glomeruli do not represent drawbacks for future longitudinal biopsy-based studies of glomerular size and distribution.

Indexed as

Black or African AmericanWhite PeopleAdultAnalysis of VarianceAutopsyBiopsyChronic DiseaseCohort StudiesComorbidityHumansHypertensionKidney DiseasesKidney GlomerulusMaleMiddle AgedObesity

Identifiers

PMID21984554
PMCPMC3339444

What OpenQuestion holds

Textmetadata
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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.