Evidence map›Paper›PMID 31216361›Full record

ArticleHuman reproduction (Oxford, England)2019

Pre-pregnancy maternal fasting plasma glucose levels in relation to time to pregnancy among the couples attempting first pregnancy.

Jun Zhao, Xiang Hong, Hongguang Zhang, Qiaoyun Dai, Kaiping Huang, Xu Zhang, Yuxiang Liu, Jingwei Wu, Qiaomei Wang, Haiping Shen and 8 more

Open access · bronzeAbstract read
In one paragraph

Article in Human reproduction (Oxford, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.6field-weighted citation impact, top 8% 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

18 citing papers in PubMed, 31 citations in OpenAlex.

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

18 authors at 7 institutions in 2 countries.

Jun ZhaoNational Research Institute for Family Planning, Beijing, China.
Xiang HongKey Laboratory of Environmental Medicine and Engineering of Ministry of Education, Department of Epidemiology and Statistics, School of Public Health, Southeast University, Nanjing, Jiangsu, China.
Hongguang ZhangNational Research Institute for Family Planning, Beijing, China.
Qiaoyun DaiNational Research Institute for Family Planning, Beijing, China.
Kaiping HuangKey Laboratory of Environmental Medicine and Engineering of Ministry of Education, Department of Epidemiology and Statistics, School of Public Health, Southeast University, Nanjing, Jiangsu, China.
Xu ZhangDepartment of Medical Record Management, The Affiliated YanAn Hospital of Kunming Medical University, Yunnan, China.
Yuxiang LiuKey Laboratory of Environmental Medicine and Engineering of Ministry of Education, Department of Epidemiology and Statistics, School of Public Health, Southeast University, Nanjing, Jiangsu, China.
Jingwei WuDepartment of Epidemiology and Biostatistics, College of Public Health, Temple University, Philadelphia, PA, USA.
Qiaomei WangDepartment of Maternal and Child Health, National Health Commission of the People's Republic of China, Beijing, China.
Haiping ShenDepartment of Maternal and Child Health, National Health Commission of the People's Republic of China, Beijing, China.
Zongyu XuDepartment of Maternal and Child Health, National Health Commission of the People's Republic of China, Beijing, China.
Yiping ZhangDepartment of Maternal and Child Health, National Health Commission of the People's Republic of China, Beijing, China.
Donghai YanDepartment of Maternal and Child Health, National Health Commission of the People's Republic of China, Beijing, China.
Daxun QiNational Research Institute for Family Planning, Beijing, China.
Xueying YangNational Research Institute for Family Planning, Beijing, China.
Yue ZhangNational Research Institute for Family Planning, Beijing, China.
Bei WangKey Laboratory of Environmental Medicine and Engineering of Ministry of Education, Department of Epidemiology and Statistics, School of Public Health, Southeast University, Nanjing, Jiangsu, China.
Xu MaNational Research Institute for Family Planning, Beijing, China.
National Health and Family Planning Commission · CNSoutheast University · CNTianjin Municipal Research Institute for Family Planning · CNChinese National Human Genome Center · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNKunming Medical University · CNTemple University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

study questionWhat is the relationship between pre-pregnancy maternal glucose levels and fecundability in Chinese couples? SUMMARY ANSWER: Elevated pre-pregnancy maternal glucose levels were associated with fecundability, as reflected by prolonged time to pregnancy (TTP) among the couples with no prior gravidity. STUDY DESIGN, SIZE, DURATION: Based on the National Free Pre-conception Check-up Projects supported by the Chinese government, 2 226 048 eligible couples attempting first pregnancy and participating in the project from 2015 to 2016 were included. They were followed-up for 1 year or until they reported pregnancy. PARTICIPANTS/MATERIALS, SETTINGS,

methodsThe Kaplan-Meier method was used to estimate the cumulative pregnancy rate in each menstrual cycle, and the discrete-time analogue of the Cox models was used to estimate the fecundability odds ratios (FORs) and 95% CIs by different pre-pregnancy maternal glucose levels (impaired fasting glucose (IFG) or diabetes as compared to normal). MAIN RESULTS AND THE ROLE OF CHANCE: The cumulative pregnancy rate for 12 cycles of the normal fasting plasma glucose (FPG) level group was 42.29%, significantly higher than that of the IFG (35.52%) and diabetes groups (31.52%). After adjusting for confounding factors, the FORs were 0.82 (95% CI: 0.81-0.83) and 0.74 (95% CI: 0.72-0.76) for the IFG and diabetes groups, respectively, as compared to the normal group. The association between pre-pregnancy maternal FPG levels and the FORs was non-linear, and the optimal FPG level for greatest fecundability (shortest TTP) was 3.90-4.89 mmol/L. LIMITATIONS, REASONS FOR CAUTION: The findings from this register-based cohort study require cautious interpretation given that information bias would be inevitable for single FPG measurements and for TTP calculations that were based on telephone follow-up information. Additionally, because couples who achieved pregnancy during their first menstrual cycle in the study were excluded, the pregnancy rates reported were low and possibly biased. WIDER IMPLICATIONS OF THE

findingsThe current report suggests that elevated pre-pregnancy maternal glucose levels were associated with prolonged TTP. Early evaluation and preventive treatment for female partners with IFG or diabetes in a pre-pregnancy examination are necessary. STUDY FUNDING/COMPETING INTEREST(S): Funding was provided by the National Key Research and Development Program of China (grants No. 2016YFC1000300 and 2016YFC1000307), the National Natural Science Foundation of China (grant No. 81872634), the CAMS Innovation Fund for Medical Sciences (grant No. 2018-I2M-1-004), the National Human Genetic Resources Sharing Service Platform (grant No. 2005DKA21300) and the National Population and Reproductive Health Science Data Center (grant No. 2005DKA32408), People's Republic of China. The authors have no conflicts of interest to declare. TRIAL REGISTRATION NUMBER: N/A.

Indexed as

Blood GlucosePregnancy RateTime-to-PregnancyAdultChinaCohort StudiesDiabetes MellitusFastingFemaleHumansMiddle AgedPregnancyYoung AdultBlood Glucosediabetesfecundabilityimpaired fasting glucosepre-pregnancytime to pregnancy

Identifiers

PMID31216361
PMCPMC6613343
OpenAlexW2953124378

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.