Evidence map›Paper›PMID 40705748›Full record

ArticlePloS one2025

Blood pressure variability combined with coagulation function in early prediction and outcome assessment of germinal matrix-intraventricular hemorrhage in preterm infants with gestational age ≤32 weeks.

Lijun Jiang, Qian Yu, Hui Li, Fudong Wang, Feng Liu, Zhenxing Xu

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Lijun JiangDepartment of Neonatology, Affiliated Hospital of Yangzhou University, Yangzhou, Jiangsu Province, China.ORCID https://orcid.org/0009-0003-4014-7218
Qian YuDepartment of Neonatology, Affiliated Hospital of Yangzhou University, Yangzhou, Jiangsu Province, China.
Hui LiDepartment of Interventional Medicine, Yangzhou Hongquan Hospital, Yangzhou, Jiangsu Province, China.
Fudong WangDepartment of Neonatology, Affiliated Hospital of Yangzhou University, Yangzhou, Jiangsu Province, China.
Feng LiuDepartment of Neonatology, Affiliated Hospital of Yangzhou University, Yangzhou, Jiangsu Province, China.
Zhenxing XuDepartment of Neonatology, Affiliated Hospital of Yangzhou University, Yangzhou, Jiangsu Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine the association between blood pressure variability (BPV), coagulation indexes, and germinal matrix-intraventricular hemorrhage (GMH-IVH) in preterm infants with gestational age ≤ 32 weeks. In addition, we aimed to determine whether the combination can predict the occurrence and outcome of GMH-IVH.

methodsThis retrospective study included 106 preterm infants. According to the presence of GMH-IVH, the preterm infants were divided into GMH-IVH (51 patients) and no GMH-IVH (55 patients) groups. Furthermore, according to the short-term prognoses, the GMH-IVH group was subdivided into good outcome (30 patients) and poor outcome (21 patients) groups. Coagulation function and BPV indexes were collected at admission. Univariate analysis, logistic regression model, and receiver operating characteristic curve were used to analyze the relationship between indexes and the occurrence and outcome of GMH-IVH in preterm infants.

resultsUnivariate analysis showed that the difference between maximum and minimum (Max-Min); standard deviation (SD); coefficient of variation (CV) of BPV, prothrombin time (PT), international normalized ratio (INR), activated partial thromboplastin time (APTT), and proportion of premature rupture of membranes (PROM) were higher in the GMH-IVH group than the no GMH-IVH group (P < 0.05). Logistic regression analysis showed that INR and DBP SD were directly correlated with GMH-IVH, and the joint curve had the largest area under the curve (AUC) (82.4% sensitivity and 79.7% specificity). BPV SD, BPV CV, APTT, and INR were higher in the poor outcome group than in the good outcome group (P < 0.05). Logistic regression analysis showed that INR and DBP SD were directly correlated with poor outcomes in preterm infants with GMH-IVH. The joint curve had the largest AUC (sensitivity 76.2% and specificity 90.0%).

conclusionIncreased INR and DBP SD are directly associated factors for the developement and poor short-term outcome of GMH-IVH, and combined monitoring of INR and DBP SD has certain reference value for the early identification and prognosis evaluation of GMH-IVH in preterm infants with gestational age ≤ 32 weeks.

Indexed as

Blood CoagulationBlood PressureCerebral HemorrhageCerebral Intraventricular HemorrhageInfant, PrematureFemaleGestational AgeHumansInfant, NewbornInfant, Premature, DiseasesLogistic ModelsMalePrognosisRetrospective StudiesROC Curve

Identifiers

PMID40705748
PMCPMC12289036

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.