Evidence map›Paper›PMID 38343583›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2024

The Association of Hematological Parameters in Early and Middle Pregnancy with the Risk of Gestational Diabetes Mellitus.

Yanbei Duo, Shuoning Song, Xiaolin Qiao, Yuemei Zhang, Jiyu Xu, Jing Zhang, Zhenyao Peng, Yan Chen, Xiaorui Nie, Qiujin Sun and 8 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03246295 (Identification of Gestational Diabetes Mellitus Related Urinary Biomarkers Along Pregnancy), which is not on this map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
4.1field-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.

NCT03246295 unknown statusnot on this map

Identification of Gestational Diabetes Mellitus Related Urinary Biomarkers Along Pregnancy (From Early Pregnancy to Postpartum) by Using Proteomics and Metabolomics Analysis

TypeobservationalSponsorPeking Union Medical College HospitalRan2015 to 2017Enrolled140ConditionsGestational Diabetes MellitusArmslifestyle intervention or insulin treatment
3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. 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 4 institutions in 1 country.

Yanbei DuoDepartment of Endocrinology, Key Laboratory of Endocrinology of Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, People's Republic of China.ORCID 0000-0002-9867-9087
Shuoning SongDepartment of Endocrinology, Key Laboratory of Endocrinology of Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, People's Republic of China.ORCID 0000-0003-4810-4063
Xiaolin QiaoDepartment of Obstetrics, Beijing Chaoyang District Maternal and Child Health Care Hospital, Beijing, People's Republic of China.
Yuemei ZhangDepartment of Obstetrics, Haidian District Maternal and Child Health Care Hospital, Beijing, People's Republic of China.
Jiyu XuCore Facility of Instrument, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, People's Republic of China.
Jing ZhangDepartment of Laboratory, Haidian District Maternal and Child Health Care Hospital, Beijing, People's Republic of China.
Zhenyao PengDepartment of Dean's Office, Haidian District Maternal and Child Health Care Hospital, Beijing, People's Republic of China.
Yan ChenDepartment of Obstetrics, Beijing Chaoyang District Maternal and Child Health Care Hospital, Beijing, People's Republic of China.
Xiaorui NieDepartment of Obstetrics, Beijing Chaoyang District Maternal and Child Health Care Hospital, Beijing, People's Republic of China.
Qiujin SunDepartment of Clinical Laboratory, Beijing Chaoyang District Maternal and Child Health Care Hospital, Beijing, People's Republic of China.
Xianchun YangDepartment of Clinical Laboratory, Beijing Chaoyang District Maternal and Child Health Care Hospital, Beijing, People's Republic of China.
Ailing WangNational Center for Women and Children's Health, China CDC, Beijing, People's Republic of China.
Wei SunCore Facility of Instrument, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, People's Republic of China.
Yong FuDepartment of Endocrinology, Key Laboratory of Endocrinology of Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, People's Republic of China.
Yingyue DongDepartment of Endocrinology, Key Laboratory of Endocrinology of Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, People's Republic of China.
Zechun LuNational Center for Women and Children's Health, China CDC, Beijing, People's Republic of China.
Tao Yuan *Department of Endocrinology, Key Laboratory of Endocrinology of Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, People's Republic of China.
Weigang Zhao *Department of Endocrinology, Key Laboratory of Endocrinology of Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, People's Republic of China.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNBeijing Chaoyang Emergency Medical Center · CNHainan Maternal and Child Health Hospital · CNNational Center for Women and Children’s Health, China CDC · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Gestational diabetes mellitus (GDM) is a condition of glucose intolerance, which may be accompanied with inflammation. The levels of hematological parameters during pregnancy can reflect inflammatory conditions in pregnant women. This study aims to describe the dynamic change of blood cell parameters from the first trimester (6-12 weeks of gestation) to the second trimester (24-28 weeks of gestation) and to investigate the associations of these biomarkers with the risk of GDM. Methods: This study was a prospective double-center study conducted in Beijing, China (clinical trial number: NCT03246295). Hematological parameters were tested four times during the follow-up. Logistic regression analysis and Receiver Operating Characteristic (ROC) curve analysis were used to explore the association and predictive ability of hematological parameters for GDM. Results: There were 258 of 1027 pregnant women in our study developed GDM. Among the 1027 pregnant women, white blood cells (WBC) gradually increased, and red blood cells (RBC), hemoglobin (HGB), and platelet (PLT) tended to decrease from the first trimester to second trimester. After adjusting for confounding factors, higher levels of RBC, HGB, and PLT in both early and middle pregnancy were positively associated with GDM risk, whereas the level of WBC was associated with GDM risk only in early pregnancy. WBC, RBC, HGB, and PLT in early and middle pregnancy were all correlated with fasting insulin (FINS) in early pregnancy. Conclusion: Higher levels of hematological parameters in early and middle pregnancy were associated with glucose metabolism in early pregnancy and the subsequent risk of GDM.

Indexed as

gestational diabetes mellitushematological parametersinflammationinsulin resistanceprospective study

Identifiers

PMID38343583
PMCPMC10859104
OpenAlexW4391609727

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.