Evidence map›Paper›PMID 41706753›Full record

Observational studyPloS one2026

The association of maternal serum parameters with pregnancy induced hypertension in Chinese population.

Yahui Li, Yun He, Qianqian Wang, Xueni Wang, Yongqiong Xie, Linbo Cheng, Haibo Yao

Abstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Yahui LiDepartment of Clinical Laboratory, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.ORCID https://orcid.org/0009-0008-0500-551X
Yun HeDepartment of Clinical Laboratory, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.ORCID https://orcid.org/0009-0007-4678-2545
Qianqian WangDepartment of Clinical Laboratory, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Xueni WangDepartment of Clinical Laboratory, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Yongqiong XieDepartment of Clinical Laboratory, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Linbo ChengDepartment of Obstetrics and Gynaecology, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Haibo YaoDepartment of Medical Records, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAbnormal changes of peripheral blood parameters were observed in women with pregnancy induced hypertension (PIH) as indicators of multi-organ involvement, but the clinical significance of these promising biomarkers is still debated. This study aimed to determine the role of biochemical parameters and platelet indices for PIH identification and severity evaluation in Chinese population.

methodsThe clinical data of 837 singleton pregnant women were retrospectively analyzed and divided into normotensive control (n = 238), gestational hypertension (n = 213) and preeclampsia (n = 386) groups. Fasting blood samples were collected by first-time examination after admission for measurements by standard techniques. Multivariate logistic regression was performed to assess independent factors correlated with pregnancy induced hypertension. Receiver operating characteristic (ROC) curves were constructed to examine diagnostic accuracy. Correlation analysis was used to evaluate the association between these parameters and Apgar score and birth weight.

resultsThe urea, creatinine (Cr), uric acid (UA), aspartate aminotransferase (AST), alanine aminotransferase (ALT), gamma-glutamyl transpeptidase (GGT), lactate dehydrogenase (LDH), mean platelet volume (MPV) and platelet distribution width (PDW) values in the gestational hypertension or preeclampsia groups were significantly higher than those in control group, while total protein (TP), albumin (ALB), prealbumin (PA) and platelet count (PLT) levels were significantly lower. In multivariate regression model, gestational age (GA), body mass index (BMI), UA, ALB, LDH and MPV were found to be independent factors associated with gestational hypertension and preeclampsia. ROC curve analysis indicated that UA, ALB and LDH had good diagnostic performance for preeclampsia with the areas under the curve (AUC) of more than 0.7.

conclusionUA, ALB, LDH and MPV have been identified as accessible and valuable biomarkers in diagnosis, severity assessment and prognosis evaluation for gestational hypertension and preeclampsia.

Indexed as

Hypertension, Pregnancy-InducedAdultBiomarkersChinaCreatinineFemaleHumansPre-EclampsiaPregnancyRetrospective StudiesROC CurveUric AcidBiomarkersCreatinineUric Acid

Identifiers

PMID41706753
PMCPMC12915936

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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.