Evidence map›Paper›PMID 39583110›Full record

ArticlePeerJ2024

Serum metabolite profiles of thyroid autoimmunity patients in early pregnancy.

Zhaoying Chen, Zhenyu Lin, Yiyang Gao, Xiaohui Jin, Kan Chen, Chenxi Zhang, Zhongyan Shan, Weiping Teng, Jing Li

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PeerJ, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Zhaoying Chen *Department of Endocrinology and Metabolism, The First Hospital of China Medical University, Shenyang, Liaoning, China.
Zhenyu Lin *Department of Pulmonary and Critical Care Medicine, The Fourth Hospital of China Medical University, Shenyang, Liaoning, China.
Yiyang GaoDepartment of Endocrinology and Metabolism, The First Hospital of China Medical University, Shenyang, Liaoning, China.
Xiaohui JinDepartment of Endocrinology and Metabolism, The First Hospital of China Medical University, Shenyang, Liaoning, China.
Kan ChenDepartment of Endocrinology and Metabolism, The First Hospital of China Medical University, Shenyang, Liaoning, China.
Chenxi ZhangDepartment of Endocrinology and Metabolism, The First Hospital of China Medical University, Shenyang, Liaoning, China.
Zhongyan ShanDepartment of Endocrinology and Metabolism, The First Hospital of China Medical University, Shenyang, Liaoning, China.
Weiping TengDepartment of Endocrinology and Metabolism, The First Hospital of China Medical University, Shenyang, Liaoning, China.
Jing LiDepartment of Endocrinology and Metabolism, The First Hospital of China Medical University, Shenyang, Liaoning, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Research on serum metabolite profiles in thyroid autoimmunity (TAI) patients during early pregnancy is currently limited. Aim & Methods: The current study aimed to identify differential serum metabolites and assess the relationship between pregnancy outcomes and metabolic abnormalities in individuals with TAI. This research included 26 pregnant women with TAI and 30 healthy controls (HC). We employed a liquid chromatograph mass spectrometer (LC-MS) to analyze changes between the two groups. Results: Newborns in the TAI patients had lower birth weights than those in the control group ( Conclusions: Our findings provide new evidence supporting the early screening of serum metabolites and their potential for predicting adverse pregnancy outcomes in women with TAI.

Indexed as

Pregnancy ComplicationsAdultAutoimmunityCase-Control StudiesChromatography, LiquidFemaleHumansInfant, NewbornMetabolomePregnancyAutoimmunityMetabolomicsPregnancySerumThyroid disease

Identifiers

PMID39583110
PMCPMC11583911

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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.