Evidence map›Paper›PMID 30918859›Full record

ArticleJournal of diabetes and metabolic disorders2018

The potential of N-glycosylation profiles as biomarkers for monitoring the progression of Type II diabetes mellitus towards diabetic kidney disease.

Eric Adua, Enoch Odame Anto, Peter Roberts, Osei Sarfo Kantanka, Emmanuel Aboagye, Wei Wang

Open access · greenAbstract read
In one paragraph

Article in Journal of diabetes and metabolic disorders, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 12% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Plasma proteinBMJ open diabetes research & care · 2021
    Article
  10. Article
  11. Article
  12. Protein Glycosylation in Diabetes.Advances in experimental medicine and biology · 2021
    Article
  13. Article
  14. Article
  15. Association of the IgGBMJ open diabetes research & care · 2020
    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

6 authors at 4 institutions in 4 countries.

Eric Adua1School of Medical and Health Sciences, Edith Cowan University, 270 Joondalup Drive, Perth, WA 6027 Australia.
Enoch Odame Anto1School of Medical and Health Sciences, Edith Cowan University, 270 Joondalup Drive, Perth, WA 6027 Australia.
Peter Roberts1School of Medical and Health Sciences, Edith Cowan University, 270 Joondalup Drive, Perth, WA 6027 Australia.
Osei Sarfo Kantanka2Diabetes Centre, Komfo Anokye Teaching Hospital, Kumasi, Ghana.
Emmanuel Aboagye3Karolinska Institute, SE-171 77 Stockholm, Sweden.
Wei Wang1School of Medical and Health Sciences, Edith Cowan University, 270 Joondalup Drive, Perth, WA 6027 Australia.
Edith Cowan University · AUCapital Medical University · CNKarolinska Institutet · SEKomfo Anokye Teaching Hospital · GH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOn a global scale, type II diabetes mellitus (T2DM) remain a major health problem and it is the driver for chronic kidney disease (CKD). Despite this association, we still do not have sufficient biomarkers to anticipate better outcomes. N-glycosylation profiles are robust biomarkers and can be used for early monitoring of the progression of T2DM towards CKD.

methodsIn this cross-sectional study, we recruited 241 T2DM patients from January to May 2016. Demographic and anthropometric data were collected, following which fasting blood samples were collected for clinical analyses. Renal function decline was determined by estimation of glomerular filtration rate (eGFR) and N-glycosylation profiles were analysed by Ultra-performance liquid chromatography (UPLC).

resultsThe prevalence of undiagnosed CKD was 31.53%. Compared to men, women had a statistically significantly higher HbA1c (

conclusionThere was an increased prevalence of undiagnosed CKD among T2DM patients. This prevalence is the consequence of uncontrolled modifiable risk factors, which collectively may lead to end stage renal disease (ESRD). Although, the identified N-glycans could not adequately predict incident CKD, our investigation indicates the potential role of N-glycosylation in renal function and that their inclusion may improve risk stratification for CKD.

Indexed as

Chronic kidney diseaseDiabetes mellitusHypertensionMetabolic risk factors

Identifiers

PMID30918859
PMCPMC6405396
OpenAlexW2901222343

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.