Evidence map›Paper›PMID 34103953›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2021

Early Prediction Model of Gestational Hypertension by Multi-Biomarkers Before 20 Weeks Gestation.

Cheng Zhou, Chunlin Song, Xiang Huang, Shufen Chen, Yan Long, Shanshui Zeng, Hongling Yang, Min Jiang

Open access · goldAbstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Cheng ZhouLaboratory of Molecular Diagnostics, Southern Medical University Affiliated Maternal & Child Health Hospital of Foshan, Foshan, 528000, People's Republic of China.
Chunlin SongLaboratory of Molecular Diagnostics, Southern Medical University Affiliated Maternal & Child Health Hospital of Foshan, Foshan, 528000, People's Republic of China.
Xiang HuangLaboratory of Molecular Diagnostics, Southern Medical University Affiliated Maternal & Child Health Hospital of Foshan, Foshan, 528000, People's Republic of China.
Shufen ChenLaboratory of Molecular Diagnostics, Southern Medical University Affiliated Maternal & Child Health Hospital of Foshan, Foshan, 528000, People's Republic of China.
Yan LongDepartment of Laboratory, Guangzhou Women and Children's Medical Centre, Guangzhou Medical University, Guangzhou, 510623, People's Republic of China.
Shanshui ZengDepartment of Laboratory, Guangzhou Women and Children's Medical Centre, Guangzhou Medical University, Guangzhou, 510623, People's Republic of China.ORCID 0000-0002-4258-1363
Hongling YangDepartment of Laboratory, Guangzhou Women and Children's Medical Centre, Guangzhou Medical University, Guangzhou, 510623, People's Republic of China.
Min JiangDepartment of Laboratory, Guangzhou Women and Children's Medical Centre, Guangzhou Medical University, Guangzhou, 510623, People's Republic of China.
Foshan Maternity and Child Health Care Hospital · CNGuangzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGestational hypertension (GH), a hypertensive disorder of pregnancy (HDP), is a leading cause of maternal and fetal mortality due to the lack of clarity on its exact etiology and clinically feasible prediction models. This study was performed to discover novel biomarkers before 20 weeks gestation and thereby construct an early GH prediction model.

methodsThis study was designed based on differentially expressed protein screening followed by clinical validation. In the screening phase, a nested case-controlled study was conducted by plasma proteomic analyses using label-free LC-MS/MS and plasma samples from seven pre-GH cases before 20-week gestation and seven age- and gestational week-matched controls. In the validation phase, 10 proteins with differential expression in the screening phase were validated by ELISA or electrochemiluminescence in an independent study consisting of 29 pre-GH cases before 20-week gestation and 29 matched controls.

resultsIn the screening phase, 149 proteins were found to be differentially expressed between the two groups and were predominantly involved in complement and coagulation cascades, platelet degranulation and positive regulation of cell motility. Further validation showed that serpin family C member 1 (SERPINC1), serpin family A member 5 (SERPINA5), complement factor H-related protein 5 (CFHR5), clusterin, cytokeratin 18 (CK18) and histidine-rich glycoprotein (HRG) levels were significantly higher in women who later developed GH compared to women with uncomplicated pregnancies (

conclusionPlasma levels of SERPINC1, SERPINA5, CFHR5, clusterin, CK18 and HRG are potential novel predictive biomarkers of GH, and a prediction model using a combination of SERPINC1, CK18 and HRG has good discriminatory performance for GH before 20 weeks gestation.

Indexed as

biomarkersgestational hypertensionlabel-free LC-MS/MS

Identifiers

PMID34103953
PMCPMC8178612
OpenAlexW3166997428

What OpenQuestion holds

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Registered trials

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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.