Evidence map›Paper›PMID 39639281›Full record

Observational studyReproductive biology and endocrinology : RB&E2024

Pre-pregnancy LDL/HDL and total Cholesterol/HDL ratios are strong predictors of gestational diabetes mellitus in women undergoing assisted reproductive technologies.

Yvonne Liu, Johann-Georg Hocher, Shujuan Ma, Liang Hu, Huijun Chen, Xiaoli Zhang, Fei Gong, Bernhard K Krämer, Ge Lin, Berthold Hocher

Registry-linked trialAbstract readObservational Study
In one paragraph

Observational study in Reproductive biology and endocrinology : RB&E, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03503006 (Effects of Vitamin D Status on the Outcome of Ivf - Embryo Transfer), which is not on this map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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.

NCT03503006 completednot on this map

Effects of Vitamin D Status on the Outcome of Ivf - Embryo Transfer

TypeobservationalSponsorReproductive & Genetic Hospital of CITIC-XiangyaRan2018 to 2020Enrolled2,569ConditionsInfertility, Female
3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Managing maternity: Moving care, not patients, using artificial intelligence (AI), internet-of-things (IOT) and point-of-care testing (POCT) devices.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2026
    Article
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  4. Observational
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  6. Article
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  8. Review
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

10 authors.

Yvonne LiuFifth Department of Medicine (Nephrology/Endocrinology/Rheumatology/Pneumology), University Medical Centre Mannheim, University of Heidelberg, 68167, Mannheim, Germany.ORCID http://orcid.org/0000-0002-5688-2108
Johann-Georg HocherFifth Department of Medicine (Nephrology/Endocrinology/Rheumatology/Pneumology), University Medical Centre Mannheim, University of Heidelberg, 68167, Mannheim, Germany.ORCID http://orcid.org/0000-0002-8993-5210
Shujuan MaReproductive and Genetic Hospital of CITIC-Xiangya, Changsha, 410008, China.ORCID http://orcid.org/0000-0002-7858-067X
Liang HuReproductive and Genetic Hospital of CITIC-Xiangya, Changsha, 410008, China.ORCID http://orcid.org/0000-0001-6984-834X
Huijun ChenFifth Department of Medicine (Nephrology/Endocrinology/Rheumatology/Pneumology), University Medical Centre Mannheim, University of Heidelberg, 68167, Mannheim, Germany.ORCID http://orcid.org/0000-0003-0293-0917
Xiaoli ZhangFifth Department of Medicine (Nephrology/Endocrinology/Rheumatology/Pneumology), University Medical Centre Mannheim, University of Heidelberg, 68167, Mannheim, Germany.ORCID http://orcid.org/0000-0003-0076-0854
Fei GongReproductive and Genetic Hospital of CITIC-Xiangya, Changsha, 410008, China.ORCID http://orcid.org/0000-0002-7474-0680
Bernhard K KrämerFifth Department of Medicine (Nephrology/Endocrinology/Rheumatology/Pneumology), University Medical Centre Mannheim, University of Heidelberg, 68167, Mannheim, Germany.ORCID http://orcid.org/0000-0002-1718-2918
Ge LinReproductive and Genetic Hospital of CITIC-Xiangya, Changsha, 410008, China.ORCID http://orcid.org/0000-0002-3877-2546
Berthold HocherFifth Department of Medicine (Nephrology/Endocrinology/Rheumatology/Pneumology), University Medical Centre Mannheim, University of Heidelberg, 68167, Mannheim, Germany. berthold.hocher@medma.uni-heidelberg.de.ORCID http://orcid.org/0000-0001-8143-0579

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND &

objectiveTo analyze whether there is an association between pre-pregnancy lipid parameters and gestational diabetes mellitus (GDM) in women undergoing assisted reproductive technologies (ART), a group especially at risk for GDM, and if so, which parameter is associated the strongest.

methodsData was collected at the Reproductive and Genetic Hospital CITIC-Xiangya in Changsha, China from January 2017 to December 2018. The measured lipid parameters include LDL (low-density lipoprotein), HDL (high-density lipoprotein), TC (total cholesterol), and TG (triglycerides).

results119 (15.5%) of the 767 patients developed GDM. On average, women who developed GDM were older, had a higher BMI, LDL, TC, and TG, and lower HDL. After adjusting for confounders, LDL and HDL showed a significant association with GDM (p < 0.05), but TC and TG did not. Binary LDL/HDL and TC/HDL ratios showed the strongest association with GDM incidence (OR 1.957 [95%CI 1.258-3.044] and 1.942 [1.243-3.034] respectively). Subgroup analysis showed that an elevated LDL/HDL ratio also increased GDM risk in subgroups with a typically lower prevalence of GDM, such as young women with a low BMI and low blood pressure. Both lipid ratios (LDL/HDL and TC/HD) show strong interactions with baseline age, fasting plasma glucose, and LH.

conclusionsIn this cohort of Chinese women undergoing ART, pre-pregnancy LDL/HDL and TC/HDL were associated with GDM the strongest from the lipid parameters and could be useful to estimate GDM risk even before ART treatments and pregnancy. CLINICAL TRIAL NUMBER: NCT03503006 registered on the 21st of March 2018 (on clinicaltrials.gov). https://clinicaltrials.gov/study/NCT03503006?locStr=Changsha,%20Hunan,%20China&country=China&state=Hunan&city=Changsha&cond=ivf&rank=2 .

Indexed as

Cholesterol, HDLDiabetes, GestationalReproductive Techniques, AssistedAdultChinaCholesterolCholesterol, LDLFemaleHumansPregnancyRisk FactorsTriglyceridesCholesterolCholesterol, HDLCholesterol, LDLTriglyceridesAssisted reproductive technologiesDyslipidemiaGestational diabetes mellitusIn vitro fertilizationLdl hdl ratio

Identifiers

PMID39639281
PMCPMC11619337

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Registered trials

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.