Evidence map›Paper›PMID 40721791›Full record

SynthesisReproductive biology and endocrinology : RB&E2025

The establishment of lipid profiles reference ranges during pregnancy: a systematic review and meta-analysis.

Liyun Sun, Bingrui Gao, Mingyue Wang, Yuqi Liu, Zhongyan Shan, Weiping Teng, Dongdong Luo, Jing Li

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Reproductive biology and endocrinology : RB&E, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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.

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

7 citing papers in PubMed.

  1. Observational
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

8 authors.

Liyun Sun *Department of Endocrinology and Metabolism, The Institute of Endocrinology, NHC Key Laboratory of Diagnosis and Treatment of Thyroid Diseases, The First Affiliated Hospital of China Medical University, Shenyang, 110000, Liaoning, P.R. China.
Bingrui Gao *Department of Endocrinology and Metabolism, The Institute of Endocrinology, NHC Key Laboratory of Diagnosis and Treatment of Thyroid Diseases, The First Affiliated Hospital of China Medical University, Shenyang, 110000, Liaoning, P.R. China.
Mingyue WangDepartment of Endocrinology and Metabolism, The Institute of Endocrinology, NHC Key Laboratory of Diagnosis and Treatment of Thyroid Diseases, The First Affiliated Hospital of China Medical University, Shenyang, 110000, Liaoning, P.R. China.
Yuqi LiuDepartment of Endocrinology and Metabolism, The Institute of Endocrinology, NHC Key Laboratory of Diagnosis and Treatment of Thyroid Diseases, The First Affiliated Hospital of China Medical University, Shenyang, 110000, Liaoning, P.R. China.
Zhongyan ShanDepartment of Endocrinology and Metabolism, The Institute of Endocrinology, NHC Key Laboratory of Diagnosis and Treatment of Thyroid Diseases, The First Affiliated Hospital of China Medical University, Shenyang, 110000, Liaoning, P.R. China.
Weiping TengDepartment of Endocrinology and Metabolism, The Institute of Endocrinology, NHC Key Laboratory of Diagnosis and Treatment of Thyroid Diseases, The First Affiliated Hospital of China Medical University, Shenyang, 110000, Liaoning, P.R. China.
Dongdong LuoDepartment of Endocrinology and Metabolism, The Institute of Endocrinology, NHC Key Laboratory of Diagnosis and Treatment of Thyroid Diseases, The First Affiliated Hospital of China Medical University, Shenyang, 110000, Liaoning, P.R. China. ddl1109@163.com.
Jing LiDepartment of Endocrinology and Metabolism, The Institute of Endocrinology, NHC Key Laboratory of Diagnosis and Treatment of Thyroid Diseases, The First Affiliated Hospital of China Medical University, Shenyang, 110000, Liaoning, P.R. China. jli23@cmu.edu.cn.ORCID http://orcid.org/0000-0002-3681-4095

Funding

the Basic Scientific Research Project of Liaoning Provincial Department of Education No. LJ212410159030the Beijing Medical Award Foundation No. YXJL-2024-0350-0089the National Key Research and Development Program of China No.2023YFC2508303the Noncommunicable Chronic Diseases-National Science and Technology Major Project No.2024ZD0531506
6 · The paper itself

Abstract

backgroundMaternal lipid levels, which are crucial for both foetal development and maternal health, exhibit significant physiological changes during pregnancy. Current reference ranges for lipids that are based on common adults may inadequately assess the appropriate lipid levels during pregnancy and fail to predict potential risks. Therefore, it is necessary to establish trimester-specific reference intervals (TSRIs) for pregnant women during pregnancy.

objectiveTo establish TSRIs for total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-c, and low-density lipoprotein cholesterol (LDL-c) levels during pregnancy and to explore potential factors influencing lipid levels.

methodsFollowing PRISMA/MOOSE guidelines, 13 observational studies (54,517 healthy women with singleton pregnancies) were included and analyzed. The pooled means and associated 95% confidence intervals (95% CIs) were calculated using a random effects model, and the TSRIs for women with singleton pregnancies were calculated using a frequentist approach. The quality of the included studies was appraised by the Agency for Healthcare Research and Quality (AHRQ) scale.

resultsThe established TSRIs for the women with singleton pregnancies during the first, second, and third trimesters were 3.00-5.83, 3.79-7.87, and 4.39-8.98 mmol/L for TC; 0.08-2.27, 0.39-3.90, and 0.82-5.00 mmol/L for TG; 0.86-2.34, 0.80-2.69, and 0.83-2.58 mmol/L for HDL-c; and 1.16-3.56, 1.51-5.04, and 1.90-5.74 mmol/L for LDL-c, respectively. The TSRIs applicable to Chinese women with singleton pregnancies were 2.96-5.66, 3.79-7.63 and 4.36-8.69 mmol/L for TC; 0.22-2.05, 0.56-4.08 and 1.10-5.15 mmol/L for TG; 1.01-2.35, 0.84-2.66 and 0.67-2.72 mmol/L for HDL-c; and 1.12-3.38, 1.39-4.94 and 1.79-5.60 mmol/L for LDL-c for the first, second, and third trimesters. Compared with pregnant women from Asia, European and South American pregnant women showed higher serum third-trimester TC level and lower second-trimester TG and third-trimester TG and LDL-c levels. Studies using enzyme colorimetry method reported higher second-trimester TG and third-trimester TG and HDL-c levels than those using enzyme methods. In addition, the third-trimester TC, HDL-c, LDL-c and three-trimesters TG levels were significantly higher as reported by the studies conducted before 2015 than by the ones conducted after 2015.

conclusionThe appropriate establishment of TSRIs is essential for accurate diagnosis of dyslipidaemia during pregnancy, which may be affected by the inhabited regions where pregnant women lived, the assay methods and the years when study conducted. Further region-specific and method-specific TSRIs for women with singleton pregnancies using the latest data are needed in order to enhance the diagnostic capability of dyslipidaemia in pregnant women during three trimesters.

Indexed as

LipidsPregnancy TrimestersAdultCholesterol, HDLCholesterol, LDLFemaleHumansPregnancyReference ValuesTriglyceridesCholesterol, HDLCholesterol, LDLLipidsTriglyceridesLipid profilesMeta-analysisSingleton pregnancyTrimester-specific reference intervals

Identifiers

PMID40721791
PMCPMC12302840

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Registered trials

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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.