Evidence map›Paper›PMID 31273018›Full record

ArticleBMJ open2019

Albuminuria: population epidemiology and concordance in Australian children aged 11-12 years and their parents.

Nicholas G Larkins, Siah Kim, John B Carlin, Anneke C Grobler, David P Burgner, Katherine Lange, Jonathan C Craig, Melissa Wake

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in BMJ open, 2019. 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
2.9field-weighted citation impact, top 9% 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, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Uncontrolled diabetes: A difficult mother or a mother in difficulty?Journal of family medicine and primary care · 2020
    Article
  6. Article
  7. 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

8 authors at 4 institutions in 2 countries.

Nicholas G LarkinsCentre for Kidney Research, The Children's Hospital at Westmead, Westmead, New South Wales, Australia.ORCID 0000-0002-6914-4884
Siah KimCentre for Kidney Research, The Children's Hospital at Westmead, Westmead, New South Wales, Australia.
John B CarlinMurdoch Children's Research Institute, Parkville, Victoria, Australia.ORCID 0000-0002-2694-9463
Anneke C GroblerMurdoch Children's Research Institute, Parkville, Victoria, Australia.ORCID 0000-0002-7809-7688
David P BurgnerMurdoch Children's Research Institute, Parkville, Victoria, Australia.ORCID 0000-0002-8304-4302
Katherine LangeMurdoch Children's Research Institute, Parkville, Victoria, Australia.ORCID 0000-0002-8175-6285
Jonathan C CraigCentre for Kidney Research, The Children's Hospital at Westmead, Westmead, New South Wales, Australia.ORCID 0000-0002-2548-4035
Melissa WakeMurdoch Children's Research Institute, Parkville, Victoria, Australia.ORCID 0000-0001-7501-9257
The University of Melbourne · AUThe University of Sydney · AUChildren's Hospital at Westmead · AUUniversity of Auckland · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo describe the distribution of albuminuria among Australian children aged 11-12 years and their parents, and assess its intergenerational concordance within parent-child dyads.

designPopulation-based cross-sectional study (the Child Health CheckPoint), nested within the Longitudinal Study of Australian Children.

settingAssessment centres (seven Australian cities and eight regional towns) and home visits across Australia, February 2015 to March 2016.

participantsOf all participating CheckPoint families (n=1874), 1557 children (46.2% girls) and 1454 parents (85.5% mothers) provided random urine samples at the visit; samples from menstruating females were excluded. OUTCOME MEASURES: Urine albumin-to-creatinine ratio (ACR) and its components (urine albumin and creatinine concentration); albuminuria was defined as an ACR ≥3.4 mg/mmol. Pearson's correlation coefficients and multivariable linear regression models assessed parent-child concordance, using log-transformed data due to skewing. Survey weights and methods were applied to account for the complex sample design.

resultsThe median ACR for children was 1.03 mg/mmol (IQR 0.65-1.97) and 1.01 mg/mmol (IQR 0.60-2.09) for adults. The median ACR was higher in girls (1.20, IQR 0.71-2.65) than boys (0.90, IQR 0.61-1.65) and in mothers (1.13, IQR 0.63-2.33) than fathers (0.66, IQR 0.41-1.05). Albuminuria was detected in 15.1% of children (girls 20.8%, boys 10.1%) and 13.5% of adults (15.1% mothers, 4.0% fathers) had albuminuria. There was a small correlation between parent and child ACR (Pearson correlation coefficient 0.06, 95% CI 0.01 to 0.12).

conclusionsAlbuminuria is common among Australian children and adults, which is of concern because it predicts risk for kidney and cardiovascular disease, and mortality. The weak concordance among intergenerational pairs for urine ACR suggests either that genetic heritability is low or that it becomes evident only at later offspring life stages.

Indexed as

ParentsAdultAlbuminuriaAustraliaCardiovascular DiseasesChildCreatinineCross-Sectional StudiesFemaleHumansKidney DiseasesLinear ModelsLongitudinal StudiesMaleMiddle AgedMultivariate AnalysisCreatininealbuminuriachildrenepidemiological studiesinheritance patternskidneyreference values

Identifiers

PMID31273018
PMCPMC6624040
OpenAlexW2954556715

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.