Evidence map›Paper›PMID 30382875›Full record

ArticleLipids in health and disease2018

Recommended reference values for serum lipids during early and middle pregnancy: a retrospective study from China.

Chen Wang, Lingying Kong, Yide Yang, Yumei Wei, Weiwei Zhu, Rina Su, Li Lin, Huixia Yang

Open access · goldAbstract read
In one paragraph

Article in Lipids in health and disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 2 pooled it
3.6field-weighted citation impact, top 7% 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

39 citing papers in PubMed, 2 syntheses or guidelines pooled it, 75 citations in OpenAlex.

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  5. The Influence of Maternal Aerobic Exercise, Blood DHA and EPA Concentrations on Maternal Lipid Profiles.International journal of environmental research and public health · 2022
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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 3 institutions in 1 country.

Chen WangDepartment of Obstetrics and Gynecology of Peking University First Hospital, Beijing, China.
Lingying KongDepartment of Obstetrics and Gynecology of Peking University First Hospital, Beijing, China.
Yide YangTeaching and Researching office of Child and Adolescent Health, School of Medicine, Hunan Normal University, Changsha, China.
Yumei WeiDepartment of Obstetrics and Gynecology of Peking University First Hospital, Beijing, China.
Weiwei ZhuDepartment of Obstetrics and Gynecology of Peking University First Hospital, Beijing, China.
Rina SuDepartment of Obstetrics and Gynecology of Peking University First Hospital, Beijing, China.
Li LinDepartment of Obstetrics and Gynecology of Peking University First Hospital, Beijing, China.
Huixia YangDepartment of Obstetrics and Gynecology of Peking University First Hospital, Beijing, China. yanghuixia@bjmu.edu.cn.
Peking University First Hospital · CNPeking University · CNHunan Normal University · CN

Funding

World Diabetes Foundation WDF14-908
6 · The paper itself

Abstract

backgroundDisturbances in maternal lipid metabolism have been shown to increase the risk of adverse pregnancy outcomes. However, there is no consensus as to what constitutes normal maternal lipid values during pregnancy. Thus, the aim of this study was to establish serum lipid reference ranges during early and middle pregnancy.

methodsWe conducted a retrospective survey in Beijing from 2013 to 2014. A total of 17,610 singleton pregnancies with lipid data from early and middle pregnancy were included. First, after excluding women with adverse pregnancy outcomes, we performed a descriptive analysis of total cholesterol (TC), triglycerides (TG), high-density lipid cholesterol (HDL-C) and low-density lipid cholesterol (LDL-C) levels using means and standard deviations to determine appropriate percentiles. Second, in the total population, we examined the lipid levels in different trimesters with the risk of adverse pregnancy outcomes using categorical analyses and logistic regression models. Third, we determined the lipid reference range in early and middle pregnancy based on the first two results. Finally, based on the reference ranges we determined, we assessed whether the number of abnormal lipid values affected the risk of adverse pregnancy outcomes.

results(1) Serum levels of TC, TG, LDL-C and HDL-C all increased significantly from early to middle pregnancy, with the greatest increase in TG. (2) A trend towards an increasing incidence of adverse pregnancy outcomes was observed with increasing levels of TC, TG, and LDL-C and decreasing levels of HDL-C in both early and middle pregnancy. (3) We recommend that serum TC, TG and LDL-C reference values in early and middle pregnancy should be less than the 95th percentiles, whereas that of HDL-C should be greater than the 5th percentile, i.e., in early pregnancy, TC < 5.64 mmol/L, TG < 1.95 mmol/L, HDL-C > 1.23 mmol/L, and LDL-C < 3.27 mmol/L, and in middle pregnancy, TC < 7.50 mmol/L, TG < 3.56 mmol/L, HDL-C > 1.41 mmol/L, and LDL-C < 4.83 mmol/L. (4) Higher numbers out-of-range lipids during early and middle pregnancy were correlated with a higher risk of adverse pregnancy outcomes.

conclusionsThe reference ranges recommended in this paper can identify pregnant women with unfavourable lipid values.

Indexed as

Lipid MetabolismAdultChinaCholesterolCholesterol, HDLCholesterol, LDLFemaleHumansHypercholesterolemiaLipidsPregnancyReference ValuesRetrospective StudiesTriglyceridesYoung AdultCholesterolCholesterol, HDLCholesterol, LDLLipidsTriglyceridesHigh-density lipid cholesterol (HDL-C)Low-density lipid cholesterol (LDL-C)PregnancyReference rangeTotal cholesterol (TC)Triglycerides (TG)

Identifiers

PMID30382875
PMCPMC6211477
OpenAlexW2898946018

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.