Evidence map›Paper›PMID 39281574›Full record

ArticleHeliyon2024

The role of MRI in "estimating" intraoperative bleeding during cesarean section for placenta accreta: A prospective cohort study.

Shimao Zhang, Xin Li, Ying Jin, Linbo Cheng, Tenglan Wu, Xi Hou, Sumei Wei, Yalan Li, Xue Xiao, Tianjiao Liu and 1 more

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
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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

11 authors.

Shimao ZhangChengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 611731, China.
Xin LiWest China Second University Hospital, Sichuan University, Chengdu, 610041, China.
Ying JinChengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 611731, China.
Linbo ChengChengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 611731, China.
Tenglan WuChengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 611731, China.
Xi HouDepartment of Obstetrics and Gynaecology, Chengdu Xindu Maternal and Child Health Hospital, Sichuan province, China.
Sumei WeiChengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 611731, China.
Yalan LiThe Fourth People's Hospital of Chengdu, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 611731, China.
Xue XiaoWest China Second University Hospital, Sichuan University, Chengdu, 610041, China.
Tianjiao LiuChengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 611731, China.
Luying WangChengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 611731, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The prenatal detection of placenta accreta spectrum (PAS) disorder is crucial for treatment strategy formulation. MRI descriptors may offer a more objective method for predicting PAS and clinical outcomes. The aim of this study is to investigate the predictive value of MRI examination for intraoperative blood loss in PAS cesarean section and elucidating the MRI descriptors that are more valuable for predicting intraoperative blood loss. Methods: A prospective study was carried out on 164 pregnant women diagnosed with PAS. Maternal and neonatal perioperative characteristics were systematically collected. To evaluate the relationship between maternal and perioperative characteristics and intraoperative blood loss, as well as the predictive value of MRI descriptors on intraoperative blood loss, a multivariable linear regression analysis was performed. Results: Patients were pre-grouped based on a combined ultrasound-MRI evaluation, with 108 cases (65.9 %) classified as placenta accreta, 47 cases (28.7 %) as placenta increta, and 9 cases (5.4 %) as placenta percreta. The results demonstrated that intraoperative blood loss was positively associated with partial MRI descriptors (F = 9.751, df = 15), such as placenta accreta (OR: 243.33, p = 0.006), cross-border blood vessels that pass through the uterine muscle layer (OR: 297.76, p = 0.012), interruption of hyperechoic uterus-bladder interface (bladder line) (OR: 342.59, p = 0.011), and subplacental hypervascularity (OR: 365.96, p = 0.027). Conclusions: Preoperative MRI demonstrates promising predictive capabilities in estimating intraoperative blood loss for PAS patients. Pregnant women identified as having a high risk of intraoperative bleeding based on MRI findings should undergo closer antenatal monitoring in late pregnancy, along with more comprehensive preoperative blood preparation, to better ensure maternal and fetal safety.

Indexed as

Intraoperative bleedingMRIPlacenta accreta spectrumPregnant womenProspective study

Identifiers

PMID39281574
PMCPMC11395750

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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.