Evidence map›Paper›PMID 35978999›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2022

Risk Factors for Recurrence of Gestational Diabetes Mellitus and Its Correlation with Maternal and Infant Prognosis.

Xiaohui Wei, Ruihong Hu, Ying Gao, Zhongqin Yu, Xin Zhang

RetractedOpen access · hybridAbstract readRetracted Publication
In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 28% 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

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

  1. Pooled it
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Xiaohui WeiDepartment of Endocrinology, Zhoushan Branch Ruijin Hospital Shanghai Jiaotong University, School of Medicine, Zhoushan, Zhejiang, China.
Ruihong HuDepartment of Obstetrics and Gynecology, Suifenhe Maternal and Child Health Care Hospital, Mudanjiang, Heilongjiang, China.
Ying GaoDepartment of Endocrinology, Zhoushan Branch Ruijin Hospital Shanghai Jiaotong University, School of Medicine, Zhoushan, Zhejiang, China.
Zhongqin YuDepartment of Endocrinology, Ruijin Hospital Shanghai Jiaotong University School of Medicine, Shanghai, China.
Xin ZhangDepartment of Endocrinology, Zhoushan Branch Ruijin Hospital Shanghai Jiaotong University, School of Medicine, Zhoushan, Zhejiang, China.ORCID https://orcid.org/0000-0001-6246-9099
Ruijin Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To explore and analyze the risk factors of recurrence of gestational diabetes mellitus (GDM) and its correlation with maternal and infant prognosis. Methods: The clinical data of 128 GDM patients admitted to our hospital from May 2018 to May 2020 were retrospectively analyzed, and they were divided into a recurrence group ( Results: Compared with the nonrecurrence group, the recurrence group had a higher proportion of patients aged ≥35 years, with first fasting blood glucose ≥7.0 mmol/L, and with BMI value index ≥25 kg/m Conclusion: Older maternal age, high blood glucose level in the previous pregnancy, and high BMI index during the present pregnancy are high-risk factors for GDM recurrence that can further lead to adverse outcomes for mothers and infants. Clinicians should place sufficient emphasis on targeted early measures responding to high-risk factors to minimize the risk of GDM recurrence and optimize maternal and infant outcomes.

Identifiers

PMID35978999
PMCPMC9377881
OpenAlexW4292451951

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.