Evidence map›Paper›PMID 33651156›Full record

ArticleArchives of gynecology and obstetrics2021

Second-trimester and third-trimester maternal lipid profiles significantly correlated to LGA and macrosomia.

Fangfang Xi, Huiqi Chen, Qinqing Chen, Danqing Chen, Yuan Chen, Matthew Sagnelli, Guangdi Chen, Baihui Zhao, Qiong Luo

Abstract read
PubMed Publisher
In one paragraph

Article in Archives of gynecology and obstetrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Observational
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Fangfang XiDepartment of Obstetrics, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, 310000, Zhejiang, China.
Huiqi ChenDepartment of Public Health, Zhejiang University School of Medicine, Hangzhou, China.
Qinqing ChenDepartment of Obstetrics, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, 310000, Zhejiang, China.
Danqing ChenDepartment of Obstetrics, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, 310000, Zhejiang, China.
Yuan ChenDepartment of Obstetrics, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, 310000, Zhejiang, China.
Matthew SagnelliUniversity of Connecticut School of Medicine, Farmington, USA.
Guangdi ChenDepartment of Public Health, Zhejiang University School of Medicine, Hangzhou, China.
Baihui ZhaoDepartment of Obstetrics, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, 310000, Zhejiang, China. zhaobh@zju.edu.cn.
Qiong LuoDepartment of Obstetrics, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, 310000, Zhejiang, China. luoq@zju.edu.cn.ORCID http://orcid.org/0000-0002-0782-4462

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccording to the theory of fetal-derived adult diseases, abnormal fetal development might affect the occurrence of diseases in adulthood, and appropriate fetal growth status intrauterine might have a beneficial effect on it. To adapt properly for fetal development, there are numerous changes in the maternal physiology during pregnancy, including blood lipid metabolism. The aim of this study is to evaluate the association between lipid profiles in the second and third trimesters of normal pregnancy and fetal birth weight. MATERIALS AND

methodsThe study population was derived from 5695 pregnant women, who maintained routine prenatal care at the women's hospital of Zhejiang University, School of medicine January 1, 2014, and December 31, 2014. The pregnant women in this study all carried uncomplicated singleton pregnancies to at least 37 weeks.

resultsThe mean (standard deviation) birth weight was 3361.00 (385.94) g; 413 (7.3%) of the infants were large for gestational age, and 330 (5.8%) were macrosomia. On multiple linear regression analysis, positive determinants of birth weight were gravidity, parity, gestational age at delivery, male infant, maternal height, and weight before pregnancy, weight gain during pregnancy, fasting blood glucose (FBG) level, second-trimester cholesterol (TC) and third-trimester triglyceride (TG), gestational albumin (ALB), and third-trimester high-density lipoprotein (HDL-C) levels were each negatively associated with birth weight. On logistic regression analysis, the significant metabolic lipid predictors of delivering a large-for-gestational-age infant were second- and third-trimester TG (aOR = 1.178, 95% CI 1.032-1.344, p = 0.015; aOR = 1.106, 95% CI 1.043-1.173, p = 0.001, respectively) and second- and third-trimester HDL-C level (aOR = 0.655, 95% CI 0.491-0.874, p = 0.004; aOR = 0.505, 95% CI 0.391-0.651, p < 0.001, respectively). Third-trimester TG and HDL-C were stable predictors of large-for-gestational-age infants in stratification analysis. High TG and low HDL-C level during third trimester could be considered as indicators of a high risk of large for gestational age (LGA) and macrosomia, regardless of infant gender.

conclusionThese results suggest that future lifestyle programs in women of reproductive age with a focus on lowering TG levels (i.e., diet, weight reduction, and physical activity) may help to reduce the incidence of LGA and macrosomia.

Indexed as

Diabetes, GestationalFetal MacrosomiaAdultBirth WeightFemaleGestational AgeHumansLipidsMalePregnancyPregnancy Trimester, SecondPregnancy Trimester, ThirdWeight GainLipidsAlbuminFibrinogenInfant birthLarge-for-gestational-ageLipid profilesMacrosomiaWeight

Identifiers

What OpenQuestion holds

Textmetadata
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.