Evidence map›Paper›PMID 31915892›Full record

ArticleDiabetologia2020

Comparison of serum and urinary biomarker panels with albumin/creatinine ratio in the prediction of renal function decline in type 1 diabetes.

Marco Colombo, Stuart J McGurnaghan, Luke A K Blackbourn, R Neil Dalton, David Dunger, Samira Bell, John R Petrie, Fiona Green, Sandra MacRury, John A McKnight and 5 more

Open access · hybridAbstract readComparative StudyEvaluation Study
In one paragraph

Article in Diabetologia, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
4.9field-weighted citation impact, top 4% 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

24 citing papers in PubMed, 53 citations in OpenAlex.

  1. Article
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  6. Serum albumin and white matter hyperintensities.Translational psychiatry · 2024
    Article
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  9. Article
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  15. Review
  16. Novel Cardiovascular Risk Factors in Patients with Diabetic Kidney Disease.International journal of molecular sciences · 2021
    Review
  17. Article
  18. Article
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  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

15 authors at 11 institutions in 1 country.

Marco ColomboUsher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK.
Stuart J McGurnaghanMRC Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Crewe Road South, Edinburgh, EH4 2XU, UK.
Luke A K BlackbournMRC Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Crewe Road South, Edinburgh, EH4 2XU, UK.
R Neil DaltonEvelina London Children's Hospital, Guy's and St Thomas' National Health Service Foundation Trust, London, UK.
David DungerDepartment of Paediatrics, University of Cambridge, Cambridge, UK.
Samira BellRenal Unit, Ninewells Hospital, Dundee, UK.
John R PetrieInstitute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.
Fiona GreenResearch & Development Support Unit, Dumfries & Galloway Royal Infirmary, Dumfries, UK.
Sandra MacRuryDepartment of Diabetes and Cardiovascular Science, University of Highlands and Islands, Inverness, UK.
John A McKnightWestern General Hospital, NHS Lothian, Edinburgh, UK.
John ChalmersDiabetes Centre, Victoria Hospital, NHS Fife, Kirkcaldy, UK.
Andrew CollierSchool of Health and Life Sciences, Glasgow Caledonian University, Glasgow, UK.
Paul M McKeigueUsher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK.
Helen M ColhounMRC Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Crewe Road South, Edinburgh, EH4 2XU, UK. helen.colhoun@igmm.ed.ac.uk.ORCID http://orcid.org/0000-0002-8345-3288
Scottish Diabetes Research Network (SDRN) Type 1 Bioresource Investigators
Western General Hospital · GBUniversity of Edinburgh · GBDumfries and Galloway Royal Infirmary · GBGlasgow Caledonian University · GBNational Health Service · GBNHS Fife · GBNHS Lothian · GBNinewells Hospital · GBUniversity of Cambridge · GBUniversity of Glasgow · GBUniversity of the Highlands and Islands · GB

Funding

Breakthrough T1D 3-SRA-2016- 332-M-RDiabetes UK 10/0004010Medical Research Council G0600717
6 · The paper itself

Abstract

aims/hypothesisWe examined whether candidate biomarkers in serum or urine can improve the prediction of renal disease progression in type 1 diabetes beyond prior eGFR, comparing their performance with urinary albumin/creatinine ratio (ACR).

methodsFrom the population-representative Scottish Diabetes Research Network Type 1 Bioresource (SDRNT1BIO) we sampled 50% and 25% of those with starting eGFR below and above 75 ml min

resultsSeven serum and seven urine biomarkers were strongly associated with either final eGFR or progression to <30 ml min CONCLUSIONS/

interpretationA parsimonious panel of serum biomarkers easily measurable along with serum creatinine may outperform ACR for predicting renal disease progression in type 1 diabetes, potentially obviating the need for urine testing.

Indexed as

BiomarkersAdultAgedAlbuminsAlbuminuriaBlood Chemical AnalysisCohort StudiesCreatinineDiabetes Mellitus, Type 1Diabetic NephropathiesDiagnostic Techniques, EndocrineEnzyme-Linked Immunosorbent AssayFemaleHumansKidney Function TestsMaleAlbuminsBiomarkersCreatinineSerum AlbuminClinical scienceEpidemiologyMetabolomicsNephropathyProteomics

Identifiers

PMID31915892
PMCPMC7054370
OpenAlexW2998955107

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.