Evidence map›Paper›PMID 25193282›Full record

SynthesisDiabetologia2014

A systematic review of metabolite profiling in gestational diabetes mellitus.

Jennifer Huynh, Grace Xiong, Rhonda Bentley-Lewis

Open access · bronzeAbstract readSystematic Review
In one paragraph

Synthesis in Diabetologia, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 8 pooled it
8.1field-weighted citation impact, top 2% 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

58 citing papers in PubMed, 8 syntheses or guidelines pooled it, 101 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. A systematic review of metabolomics biomarkers for Bisphenol A exposure.Metabolomics : Official journal of the Metabolomic Society · 2018
    Pooled it
  5. Pooled it
  6. Pooled it
  7. Metabolic abnormalities and obesity's impact on the risk for developing preeclampsia.American journal of physiology. Regulatory, integrative and comparative physiology · 2017
    Pooled it
  8. Pooled it
  9. Trial
  10. Trial
  11. Trial
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. 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

3 authors at 2 institutions in 1 country.

Jennifer HuynhDepartment of Medicine/Diabetes Unit, Massachusetts General Hospital, 55 Fruit Street, Bulfinch 4-415, Boston, MA, 02114, USA.
Grace Xiong
Rhonda Bentley-Lewis
Massachusetts General Hospital · USHarvard University · US

Funding

Metabolomic profiling in the prediction of Gestational Diabetes MellitusR03DK096152 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI BENTLEY-LEWIS, RHONDA · 2012 to 2014
$475k
NIDDK NIH HHS R03 DK096152NIDDK NIH HHS R03DK096152
6 · The paper itself

Abstract

aims/hypothesisGestational diabetes mellitus is associated with adverse maternal and fetal outcomes during, as well as subsequent to, pregnancy, including increased risk of type 2 diabetes and cardiovascular disease. Because of the importance of early risk stratification in preventing these complications, improved first-trimester biomarker determination for diagnosing gestational diabetes would enhance our ability to optimise both maternal and fetal health. Metabolomic profiling, the systematic study of small molecule products of biochemical pathways, has shown promise in the identification of key metabolites associated with the pathogenesis of several metabolic diseases, including gestational diabetes. This article provides a systematic review of the current state of research on biomarkers and gestational diabetes and discusses the clinical relevance of metabolomics in the prediction, diagnosis and management of gestational diabetes.

methodsWe conducted a systematic search of MEDLINE (PubMed) up to the end of February 2014 using the key term combinations of 'metabolomics,' 'metabonomics,' 'nuclear magnetic spectroscopy,' 'mass spectrometry,' 'metabolic profiling' and 'amino acid profile' combined (AND) with 'gestational diabetes'. Additional articles were identified through searching the reference lists from included studies. Quality assessment of included articles was conducted through the use of QUADOMICS.

resultsThis systematic review included 17 articles. The biomarkers most consistently associated with gestational diabetes were asymmetric dimethylarginine and NEFAs. After QUADOMICS analysis, 13 of the 17 included studies were classified as 'high quality'. CONCLUSIONS/

interpretationExisting metabolomic studies of gestational diabetes present inconsistent findings regarding metabolite profile characteristics. Further studies are needed in larger, more racially/ethnically diverse populations.

Indexed as

MetabolomicsBiomarkersDiabetes, GestationalFemaleHumansPregnancyBiomarkers

Identifiers

PMID25193282
PMCPMC4221524
OpenAlexW2098064758

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.