Evidence map›Paper›PMID 30392425›Full record

ArticleThe Journal of international medical research2019

Betatrophin for diagnosis and prognosis of mothers with gestational diabetes mellitus.

Ruirong Pan, Haiming Zhang, Shuping Yu, Jialiang Deng, Suxian Ma, Yanyan Li, Guoyue Yuan, Jifang Wang

Open access · goldAbstract read
In one paragraph

Article in The Journal of international medical research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.7field-weighted citation impact, top 14% 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

9 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Novel Biomolecules in the Pathogenesis of Gestational Diabetes Mellitus 2.0.International journal of molecular sciences · 2022
    Review
  6. Review
  7. Review
  8. Observational
  9. 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 1 institution in 1 country.

Ruirong Pan1 Department of Endocrinology, Affiliated Hospital of Jiangsu University, Zhenjiang, China.
Haiming Zhang2 Department of General Surgery, Affiliated Hospital of Jiangsu University, Zhenjiang, China.
Shuping Yu1 Department of Endocrinology, Affiliated Hospital of Jiangsu University, Zhenjiang, China.
Jialiang Deng1 Department of Endocrinology, Affiliated Hospital of Jiangsu University, Zhenjiang, China.
Suxian Ma1 Department of Endocrinology, Affiliated Hospital of Jiangsu University, Zhenjiang, China.
Yanyan Li1 Department of Endocrinology, Affiliated Hospital of Jiangsu University, Zhenjiang, China.
Guoyue Yuan1 Department of Endocrinology, Affiliated Hospital of Jiangsu University, Zhenjiang, China.
Jifang Wang1 Department of Endocrinology, Affiliated Hospital of Jiangsu University, Zhenjiang, China.
Jiangsu University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesBetatrophin is a widely used diagnostic marker for type 2 diabetes mellitus (DM), but its clinical utility in diagnosing gestational DM (GDM) is unclear. We evaluated the relationship between betatrophin and the risk of GDM as well as the ability of betatrophin to predict postpartum type 2 DM (PDM).

methodsIn total, 386 patients were categorized into those with and without PDM. All underwent the oral glucose tolerance test while pregnant. Betatrophin was assessed to examine the diagnostic characteristics of GDM.

resultsThe betatrophin concentration was remarkably higher in patients with than without GDM. The patients were categorized into three groups; those with a betatrophin concentration of 300 to 600 pg/mL and >600 pg/mL had a higher risk of GDM after adjusting for body mass index, age, homeostatic model assessment-insulin resistance (HOMA-IR) concentration, and betatrophin concentration than those with a betatrophin concentration of <300 pg/mL. The HOMA-IR concentration tended to increase as the betatrophin concentration increased, and betatrophin was independently associated with GDM after adjusting for confounders. The betatrophin concentration was higher among pregnant patients with than without PDM.

conclusionsBetatrophin has high sensitivity but low specificity for diagnosing GDM and may be a promising predictor of PDM.

Indexed as

AdultAngiopoietin-Like Protein 8Angiopoietin-like ProteinsBiomarkersBlood GlucoseCase-Control StudiesDiabetes, GestationalDiabetes Mellitus, Type 2FemaleFollow-Up StudiesGlucose Tolerance TestHumansInsulin ResistanceMothersPeptide HormonesPregnancyAngiopoietin-Like Protein 8Angiopoietin-like ProteinsANGPTL8 protein, humanBiomarkersBlood GlucosePeptide HormonesbetatrophinbiomarkerGestational diabetes mellitushomeostatic model assessment–insulin resistancepostpartum diabetes mellitusprognosis

Identifiers

PMID30392425
PMCPMC6381505
OpenAlexW2900311329

What OpenQuestion holds

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LicenceCC BY-NC
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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.