Evidence map›Paper›PMID 36265753›Full record

Trial reportDiabetes research and clinical practice2022

Baseline risk markers and visit-to-visit variability in relation to kidney outcomes - A post-hoc analysis of the PERL study.

Viktor Rotbain Curovic, Neil Roy, Tine W Hansen, M Luiza Caramori, David Z Cherney, Ian H De Boer, Mary Ann Emanuele, Irl B Hirsch, Ildiko Lingvay, Janet B Mcgill and 9 more

Open access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Diabetes research and clinical practice, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 43% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. HbADiabetologia · 2024
    Article
  3. Observational
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

19 authors at 12 institutions in 3 countries.

Viktor Rotbain CurovicSteno Diabetes Center Copenhagen, Herlev, Denmark. Electronic address: viktor.rotbain.curovic@regionh.dk.
Neil RoyJoslin Diabetes Center, Boston, MA, USA.
Tine W HansenSteno Diabetes Center Copenhagen, Herlev, Denmark.
M Luiza CaramoriUniversity of Minnesota, Minneapolis, MN, USA.
David Z CherneyUniversity of Toronto, University Health Network, Toronto, ON, Canada.
Ian H De BoerUniversity of Washington, Seattle, WA, USA.
Mary Ann EmanueleLoyola University Medical Center, Maywood, IL, USA.
Irl B HirschUniversity of Washington, Seattle, WA, USA.
Ildiko LingvayUniversity of Texas Southwestern Medical Center, Dallas, TX, USA.
Janet B McgillWashington University, St. Louis, MO, USA.
Sarit PolskyBarbara Davis Center for Diabetes, Denver, CO, USA.
Rodica Pop-BusuiUniversity of Michigan, Ann Arbor, MI, USA.
Ronald J SigalUniversity of Calgary, Calgary, AB, Canada.
Katherine R TuttleUniversity of Washington, Seattle, WA, USA; Providence Health Care, Spokane, WA, USA.
Guillermo E UmpierrezEmory University, Atlanta, GA, USA.
Amisha WalliaNorthwestern University, Chicago, IL, USA.
Sylvia E RosasJoslin Diabetes Center, Boston, MA, USA.
Peter RossingSteno Diabetes Center Copenhagen, Herlev, Denmark; University of Copenhagen, Copenhagen, Denmark.
PERL Study Group
Joslin Diabetes Center · USUniversity of Washington · USEmory University · USLoyola University Medical Center · USNorthwestern University · USSteno Diabetes Center · DKThe University of Texas Southwestern Medical Center · USUniversity of Calgary · CAUniversity of Michigan–Ann Arbor · USUniversity of Minnesota · USUniversity of Toronto · CAWashington University in St. Louis · US

Funding

Transform Dissemination and Implementation Science in CTSA ProgramsUL1TR002319 · NCATS · UNIVERSITY OF WASHINGTON · PI John K. Amory · 2017 to 2026
$100.0M
Implementing a Maternal health and PRegnancy Outcomes Vision for Everyone (IMPROVE)UL1TR002378 · NCATS · EMORY UNIVERSITY · PI Andres J Garcia, Elizabeth O. Ofili · 2017 to 2026
$92.1M
SPECIAL ASSAY COREP30DK036836 · NIDDK · JOSLIN DIABETES CENTER · PI ROHIT N. KULKARNI · 1986 to 2026
$50.5M
University of Minnesota Clinical and Translational Science Institute (UMN CTSI)UL1TR002494 · NCATS · UNIVERSITY OF MINNESOTA · PI BLAZAR, BRUCE R, WEISDORF, DANIEL J · 2018 to 2022
$34.9M
PERL: A multicenter clinical trial of allopurinol to prevent GFR loss in T1DUC4DK101108 · NIDDK · JOSLIN DIABETES CENTER · PI DORIA, ALESSANDRO, MAUER, S. MICHAEL · 2013 to 2018
$31.6M
Research Education CoreP30AG024824 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Lona Mody, RAYMOND L YUNG · 2004 to 2026
$29.2M
CTSA Administrative Supplement for Informatics Core: A novel AI/ML system to predict respiratory failure and ARDS in Covid-19 patientsUL1TR002556 · NCATS · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI KELLER, MARLA J, KIM, MIMI Y · 2018 to 2022
$26.7M
Regional Pilot And Feasibility Study Grants ProgramP30DK020572 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DAVID P OLSON · 2013 to 2026
$24.3M
Translational Research Core - Engagement and Behavior ChangeP30DK111024 · NIDDK · EMORY UNIVERSITY · PI Mohammed Kumail Ali · 2016 to 2026
$13.4M
A multicenter clinical trial of allopurinol to prevent GFR loss in T1DR34DK097808 · NIDDK · JOSLIN DIABETES CENTER · PI DORIA, ALESSANDRO, MAUER, S. MICHAEL · 2012 to 2012
$190k
Design of a Multicenter Clinical Trial of Allopurinol to Prevent GFR Loss in T1DR03DK094484 · NIDDK · JOSLIN DIABETES CENTER · PI DORIA, ALESSANDRO, MAUER, S. MICHAEL · 2011 to 2011
$107k
NCATS NIH HHS UL1 TR002319NCATS NIH HHS UL1 TR002378NCATS NIH HHS UL1 TR002494NCATS NIH HHS UL1 TR002556NIA NIH HHS P30 AG024824NIDDK NIH HHS P30 DK020572NIDDK NIH HHS P30 DK036836NIDDK NIH HHS P30 DK111024NIDDK NIH HHS R03 DK094484NIDDK NIH HHS R34 DK097808NIDDK NIH HHS UC4 DK101108
6 · The paper itself

Abstract

backgroundBaseline risk variables and visit-to-visit variability (VV) of systolic blood pressure (SBP), HbA

methodsPost-hoc analysis of a double-blind randomized placebo-controlled clinical trial investigating allopurinol's effect on iohexol-derived glomerular filtration rate (iGFR) in type 1 diabetes with elevated UA. Primary outcome was iGFR change over three years. Linear regression with backwards selection of baseline clinical variables was performed to identify an optimized model forecasting iGFR change. Furthermore, VVs of SBP, HbA

results404 participants were included in the primary analyses. In the optimized baseline variable model, higher HbA

conclusionsWe identified several risk markers for faster iGFR decline in a high-risk population with type 1 diabetes. While further research is needed, our results indicate possible new and clinically feasible measures to risk stratify for DKD in type 1 diabetes.

Indexed as

Diabetes Mellitus, Type 1AlbuminuriaCreatinineGlomerular Filtration RateHumansIohexolKidneyUric AcidCreatinineIohexolUric AcidBlood pressureChronic kidney diseaseClinical trialKidney functionRisk markersType 1 diabetesVariability

Identifiers

PMID36265753
PMCPMC12904338
OpenAlexW4306407283

What OpenQuestion holds

Textmetadata
LicenceTDM
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.