Evidence map›Paper›PMID 32851095›Full record

ArticleJournal of diabetes research2020

The Alteration of Carnitine Metabolism in Second Trimester in GDM and a Nomogram for Predicting Macrosomia.

Man Sun, Baihui Zhao, Sainan He, Ruopeng Weng, Binqiao Wang, Yunping Ding, Xinwen Huang, Qiong Luo

Open access · goldAbstract read
In one paragraph

Article in Journal of diabetes research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 20% 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, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Prediction Models for Maternal and Offspring Short- and Long-Term Outcomes Following Gestational Diabetes: A Systematic Review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
    Pooled it
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  7. Observational
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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 2 institutions in 1 country.

Man SunDepartment of Obstetrics, Women's Hospital, School of Medicine, Zhejiang University, China.
Baihui ZhaoDepartment of Obstetrics, Women's Hospital, School of Medicine, Zhejiang University, China.
Sainan HeDepartment of Obstetrics, Women's Hospital, School of Medicine, Zhejiang University, China.
Ruopeng WengDepartment of Obstetrics, Women's Hospital, School of Medicine, Zhejiang University, China.
Binqiao WangDepartment of Obstetrics, Women's Hospital, School of Medicine, Zhejiang University, China.
Yunping DingDepartment of Obstetrics, Women's Hospital, School of Medicine, Zhejiang University, China.
Xinwen HuangDepartment of Genetic and Metabolic Diseases, The Children's Hospital, School of Medicine, Zhejiang University, No.1, Xueshi Road, Shangchen District, Hangzhou, China.
Qiong LuoDepartment of Obstetrics, Women's Hospital, School of Medicine, Zhejiang University, China.ORCID https://orcid.org/0000-0002-0782-4462
Women's Hospital, School of Medicine, Zhejiang University · CNChildren's Hospital of Zhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe metabolism of three major nutrients (sugar, lipid, and protein) will change during pregnancy, especially in the second trimester. The present study is aimed at evaluating carnitine alteration in fatty acid metabolism in the second trimester of pregnancy and the correlation between carnitine and GDM.

methods450 pregnant women were recruited in the present prospective study. Metabolic profiling of 31 carnitines was detected by LC-MS/MS in these women. Correlation between carnitine metabolism and maternal and neonatal complication with GDM was analyzed.

resultsWe found the levels of 7 carnitines increased in age > 35, BMI ≥ 30, weight gain > 20 kg, and ART pregnant groups, but the level of free carnitine (C0) decreased. Nine carnitines were specific metabolites of GDM. Prepregnancy BMI, weight gain, and carnitines (C0, C3, and C16) were independent risk factors associated with GDM and related macrosomia. C0 was negatively correlated with FBG, LDL, TG, and TC. A nomogram was developed for predicting macrosomia in GDM based on carnitine-related metabolic variables.

conclusionThe carnitine metabolism in the second trimester is abnormal in GDM women. The dysfunction of carnitine metabolism is closely related to the abnormality of blood lipid and glucose in GDM. Carnitine metabolism abnormality could predict macrosomia complicated with GDM.

Indexed as

AdultBirth WeightBlood GlucoseBody Mass IndexCarnitineDiabetes, GestationalFemaleFetal MacrosomiaHumansMetabolomicsNomogramsPregnancyPregnancy Trimester, SecondProspective StudiesRisk FactorsBlood GlucoseCarnitine

Identifiers

PMID32851095
PMCPMC7439181
OpenAlexW3048686857

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.