Evidence map›Paper›PMID 32069353›Full record

Trial reportThe Journal of clinical endocrinology and metabolism2020

Plasma Glycated CD59 Predicts Early Gestational Diabetes and Large for Gestational Age Newborns.

DongDong Ma, Miguel Angel Luque-Fernandez, Delia Bogdanet, Gernot Desoye, Fidelma Dunne, Jose A Halperin, DALI Core Investigator Group

Open access · bronzeAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in The Journal of clinical endocrinology and metabolism, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 6% 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, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Observational
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  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

7 authors at 4 institutions in 4 countries.

DongDong MaDivisions of Hematology, Brigham & Women's Hospital, Boston, Massachusetts.
Miguel Angel Luque-FernandezDepartment of Epidemiology, Harvard T.H. Chan School of Public Health. Boston, Massachusetts.
Delia BogdanetNational University of Ireland, Galway, Ireland.
Gernot DesoyeDepartment of Obstetrics and Gynecology, Medizinische Universitaet Graz, Graz, Austria.
Fidelma DunneNational University of Ireland, Galway, Ireland.
Jose A HalperinDivisions of Hematology, Brigham & Women's Hospital, Boston, Massachusetts.
DALI Core Investigator Group
Brigham and Women's Hospital · USOllscoil na Gaillimhe – University of Galway · IEHarvard University · USMedical University of Graz · AT

Funding

Human Studies on Blood Levels of Glycated CD59 as a Biomarker in DiabetesR01DK101442 · NIDDK · BRIGHAM AND WOMEN'S HOSPITAL · PI HALPERIN, JOSE A · 2014 to 2018
$3.5M
Blood Levels of Glycated CD59, a Novel Biomarker to Assess Pregnancy-induced Glucose IntoleranceR01DK118528 · NIDDK · BRIGHAM AND WOMEN'S HOSPITAL · PI HALPERIN, JOSE A · 2019 to 2023
$3.5M
Glycated CD59 as a Biomarker for DiabetesR56DK089206 · NIDDK · HARVARD MEDICAL SCHOOL · PI HALPERIN, JOSE A · 2010 to 2010
$254k
NIDDK NIH HHS R01 DK101442NIDDK NIH HHS R01 DK118528NIDDK NIH HHS R56 DK089206
6 · The paper itself

Abstract

contextGestational diabetes mellitus (GDM) diagnosed in early pregnancy is a health care challenge because it increases the risk of adverse outcomes. Plasma-glycated CD59 (pGCD59) is an emerging biomarker for diabetes and GDM. The aim of this study was to assess the performance of pGCD59 as a biomarker of early GDM and its association with delivering a large for gestational age (LGA) infant.

objectivesTo assess the performance of pGCD59 to identify women with GDM in early pregnancy (GDM < 20) and assess the association of pGCD59 with LGA and potentially others adverse neonatal outcomes linked to GDM.

methodsBlood levels of pGCD59 were measured in samples from 693 obese women (body mass index > 29) undergoing a 75-g, 2-hour oral glucose tolerance test (OGTT) at <20 weeks' gestation in the Vitamin D and Lifestyle Intervention study: the main analyses included 486 subjects who had normal glucose tolerance throughout the pregnancy, 207 who met criteria for GDM at <20 weeks, and 77 diagnosed with GDM at pregnancy weeks 24 through 28. Reference tests were 75-g, 2-hour OGTT adjudicated based on International Association of Diabetes and Pregnancy Study Group criteria. The index test was a pGCD59 ELISA.

resultsMean pGCD59 levels were significantly higher (P < 0.001) in women with GDM < 20 (3.9 ± 1.1 standard peptide units [SPU]) than in those without (2.7 ± 0.7 SPU). pGCD59 accurately identified GDM in early pregnancy with an area under the curve receiver operating characteristic curves of 0.86 (95% confidence interval [CI], 0.83-0.90). One-unit increase in maternal pGCD59 level was associated with 36% increased odds of delivering an LGA infant (odds ratio for LGA vs non-LGA infant: 1.4; 95% CI, 1.1-1.8; P = 0.016).

conclusionOur results indicate that pGCD59 is a simple and accurate biomarker for detection of GDM in early pregnancy and risk assessment of LGA.

Indexed as

AdultBiomarkersBlood GlucoseCD59 AntigensDiabetes, GestationalFemaleFetal MacrosomiaFollow-Up StudiesGestational AgeGlycosylationHumansInfant, NewbornInfant, Newborn, DiseasesPregnancyPregnancy ComplicationsPrognosisBiomarkersBlood GlucoseCD59 AntigensCD59 protein, humanbiomarkersepidemiologygestational diabetes mellitusglycationprediction

Identifiers

PMID32069353
PMCPMC7082084
OpenAlexW3008908298

What Socratic 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 Socratic graph.