Evidence map›Paper›PMID 37432359›Full record

ArticleNutrients2023

Low Serum Creatinine Levels in Early Pregnancy Are Associated with a Higher Incidence of Postpartum Abnormal Glucose Metabolism among Women with Gestational Diabetes Mellitus: A Retrospective Cohort Study.

Nan Chen, Rui Zeng, Changliu Xu, Fenghua Lai, Li Chen, Chenxue Wang, Ling Pei, Zhuyu Li, Yanbing Li, Haipeng Xiao and 1 more

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

11 authors at 1 institution in 1 country.

Nan ChenDepartment of Endocrinology, The First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan 2nd Rd., Guangzhou 510080, China.
Rui ZengDepartment of Endocrinology, The First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan 2nd Rd., Guangzhou 510080, China.
Changliu XuDepartment of Endocrinology, The First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan 2nd Rd., Guangzhou 510080, China.
Fenghua LaiDepartment of Endocrinology, The First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan 2nd Rd., Guangzhou 510080, China.ORCID 0000-0002-3562-7132
Li ChenDepartment of Endocrinology, The First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan 2nd Rd., Guangzhou 510080, China.
Chenxue WangDepartment of Endocrinology, The First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan 2nd Rd., Guangzhou 510080, China.
Ling PeiDepartment of Endocrinology, The First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan 2nd Rd., Guangzhou 510080, China.
Zhuyu LiDepartment of Obstetrics and Gynecology, The First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan 2nd Rd., Guangzhou 510080, China.
Yanbing LiDepartment of Endocrinology, The First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan 2nd Rd., Guangzhou 510080, China.
Haipeng XiaoDepartment of Endocrinology, The First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan 2nd Rd., Guangzhou 510080, China.ORCID 0000-0002-4188-336X
Xiaopei CaoDepartment of Endocrinology, The First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan 2nd Rd., Guangzhou 510080, China.ORCID 0000-0002-4402-7032
Sun Yat-sen University · CN

Funding

5010 Project Foundation of Sun Yat-sen University No. 2017001
6 · The paper itself

Abstract

The predictive factors for the progression from gestational diabetes mellitus (GDM) to type 2 diabetes remain incompletely elucidated. Our objective was to investigate the link between serum creatinine, a proxy for skeletal muscle mass, and the development of postpartum abnormal glucose metabolism (AGM).

methodsA retrospective review of the medical records of 501 women with GDM was conducted, all of whom underwent a 75 g oral glucose tolerance test (OGTT) between 4 and 12 weeks postpartum. Women were grouped based on quartiles of serum creatinine at the first antenatal visit to estimate the association between serum creatinine and postpartum AGM incidence.

resultsCompared with the highest quartile of creatinine, lower quartiles were substantially linked to an increased incidence of postpartum AGM (adjusted odds ratios 3.37 [95% CI 1.77-6.42], 2.42 [95% CI 1.29-4.51] and 2.27 [95% CI 1.23-4.18], respectively). The generalized additive model suggested a linear relationship between serum creatinine levels and the risk of postpartum AGM below 68 µmol/L of serum creatinine levels. A decrease of 2 μmol/L in serum creatinine levels was found to be associated with a 10% increase in the odds of developing postpartum AGM. Linear regression revealed that a low serum creatinine level was linked to a higher postpartum 2-h glucose level and a decreased insulinogenic index (

conclusionsAn association was observed between lower serum creatinine levels in early pregnancy and an increased risk of postpartum AGM and poorer β-cell function in women with a recent history of GDM. Further research is needed to understand the mechanisms underlying our findings, as well as the role of skeletal muscle mass or nutritional status in early pregnancy on later glucose metabolism.

Indexed as

Diabetes, GestationalDiabetes Mellitus, Type 2CreatinineFemaleGlucoseHumansIncidencePostpartum PeriodPregnancyRetrospective StudiesCreatinineGlucosegestational diabetes mellitusimpaired glucose tolerancemuscle massnutritionpostpartum glucose metabolismserum creatinine

Identifiers

PMID37432359
PMCPMC10181396
OpenAlexW4381542642

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.