Evidence map›Paper›PMID 32788282›Full record

Observational studyDiabetes care2020

Continuous Glucose Monitoring and Use of Alternative Markers To Assess Glycemia in Chronic Kidney Disease.

Leila R Zelnick, Zona O Batacchi, Iram Ahmad, Ashveena Dighe, Randie R Little, Dace L Trence, Irl B Hirsch, Ian H de Boer

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in Diabetes care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 57 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Glycated Albumin Correlates With Time-in-Range Better Than HbA1c or Fructosamine.The Journal of clinical endocrinology and metabolism · 2023
    Article
  9. Article
  10. Article
  11. Article
  12. Editorial: Technologies for diabetes.Frontiers in endocrinology · 2023
    Article
  13. Review
  14. Article
  15. Review
  16. Review
  17. Making sense of glucose sensors in end-stage kidney disease: A review.Frontiers in clinical diabetes and healthcare · 2022
    Review
  18. Article
  19. Article
  20. Management of type 2 diabetes in chronic kidney disease.BMJ open diabetes research & care · 2021
    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 1 country.

Leila R ZelnickKidney Research Institute, University of Washington, Seattle, WA lzelnick@uw.edu.ORCID 0000-0002-8461-5111
Zona O BatacchiSummit Medical Group, New Providence, NJ.
Iram AhmadDivision of Endocrinology, Banner-MD Anderson Cancer Center, Gilbert, AZ.
Ashveena DigheKidney Research Institute, University of Washington, Seattle, WA.
Randie R LittleDepartment of Pathology and Anatomical Sciences, University of Missouri, Columbia, MO.ORCID 0000-0001-6450-8012
Dace L TrenceDivision of Metabolism, Endocrinology, and Nutrition, University of Washington, Seattle, WA.
Irl B HirschDivision of Metabolism, Endocrinology, and Nutrition, University of Washington, Seattle, WA.ORCID 0000-0003-1675-8417
Ian H de BoerKidney Research Institute, University of Washington, Seattle, WA.
University of Washington · USProvidence College · USThe University of Texas MD Anderson Cancer Center · USUniversity of Missouri · US

Funding

Diabetes, Obesity and Metabolism Training ProgramT32DK007247 · NIDDK · UNIVERSITY OF WASHINGTON · PI GREGORY J MORTON, KRISTINA Marie UTZSCHNEIDER · 1986 to 2026
$10.0M
Nutrition, Obesity and Atherosclerosis Training ProgramT32HL007028 · NHLBI · UNIVERSITY OF WASHINGTON · PI Karin E Bornfeldt · 1985 to 2026
$6.4M
Randomized trial of vitamin D and omega-3 fatty acids for diabetic kidney diseaseR01DK088762 · NIDDK · UNIVERSITY OF WASHINGTON · PI DE BOER, IAN H · 2010 to 2019
$4.7M
Insulin Resistance in Chronic Kidney DiseaseR01DK087726 · NIDDK · UNIVERSITY OF WASHINGTON · PI DE BOER, IAN H · 2010 to 2013
$1.9M
NHLBI NIH HHS T32 HL007028NIDDK NIH HHS R01 DK087726NIDDK NIH HHS R01 DK088762NIDDK NIH HHS T32 DK007247
6 · The paper itself

Abstract

objectiveIn chronic kidney disease, glycated albumin and fructosamine have been postulated to be better biomarkers of glycemic control than HbA RESEARCH DESIGN AND

methodsA prospective cohort study was conducted of 104 participants with type 2 diabetes, 80 with eGFR <60 mL/min/1.73 m

resultsWithin-person biomarker values were strongly correlated between the two CGM periods (

conclusionsGlycated albumin and fructosamine were not less variable than HbA

Indexed as

AgedBiomarkersBlood GlucoseBlood Glucose Self-MonitoringCase-Control StudiesCohort StudiesDiabetes Mellitus, Type 2FemaleFructosamineGlomerular Filtration RateGlycated HemoglobinGlycated Serum AlbuminGlycation End Products, AdvancedHumansMaleMiddle AgedBiomarkersBlood GlucoseFructosamineGlycated HemoglobinGlycated Serum AlbuminGlycation End Products, AdvancedSerum Albumin

Identifiers

PMID32788282
PMCPMC7510019
OpenAlexW3048686460

What OpenQuestion holds

Textmetadata
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.