Evidence map›Paper›PMID 35154621›Full record

ArticleJournal of healthcare engineering2022

Early Warning Model of Placenta Accreta Spectrum Disorders Complicated with Cervical Implantation: A Single-Center Retrospective Study.

Siming Xin, Hong Wan, Xiaoming Zeng, Yanyan Fu, Zhizhong Wang, Hua Lai, Ying Xiong, Jiusheng Zheng, Lingzhi Liu

Abstract read
In one paragraph

Article in Journal of healthcare engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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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.

Siming XinDepartment of Obstetrics, Maternal and Child Health Hospital Affiliated to Nanchang University, Nanchang 330006, Jiangxi, China.ORCID 0000-0002-0546-2699
Hong WanDepartment of Obstetrics, Maternal and Child Health Hospital Affiliated to Nanchang University, Nanchang 330006, Jiangxi, China.ORCID 0000-0002-3974-896X
Xiaoming ZengDepartment of Obstetrics, Maternal and Child Health Hospital Affiliated to Nanchang University, Nanchang 330006, Jiangxi, China.ORCID 0000-0003-2944-3625
Yanyan FuDepartment of Preventive Health Care, Maternal and Child Health Hospital Affiliated to Nanchang University, Nanchang 330006, Jiangxi, China.ORCID 0000-0003-0053-1787
Zhizhong WangDepartment of Obstetrics, Maternal and Child Health Hospital Affiliated to Nanchang University, Nanchang 330006, Jiangxi, China.ORCID 0000-0003-0530-2326
Hua LaiDepartment of Obstetrics, Maternal and Child Health Hospital Affiliated to Nanchang University, Nanchang 330006, Jiangxi, China.ORCID 0000-0003-4653-9573
Ying XiongDepartment of Obstetrics, Maternal and Child Health Hospital Affiliated to Nanchang University, Nanchang 330006, Jiangxi, China.ORCID 0000-0002-8717-258X
Jiusheng ZhengDepartment of Obstetrics, Maternal and Child Health Hospital Affiliated to Nanchang University, Nanchang 330006, Jiangxi, China.ORCID 0000-0002-4921-5016
Lingzhi LiuDepartment of Obstetrics, Maternal and Child Health Hospital Affiliated to Nanchang University, Nanchang 330006, Jiangxi, China.ORCID 0000-0003-0056-8360

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPlacenta accreta spectrum (PAS) disorders seriously threaten the safety of the mother and infant in the perinatal period. Moreover, PAS is associated with poor maternal and perinatal outcomes once complicated with cervical implantation. Dismally, there are few reports about PAS complicated with cervical involvement currently, and the early warning models are also rarely reported. To screen the risk factors of PAS complicated with cervical implantation and construct an early risk warning model, we performed the analysis of clinical indicators and images of PAS patients by artificial intelligence (AI) data processing methods.

methodsThe clinical data of 166 patients with PAS in our hospital from January 2016 to September 2020 were retrospectively analyzed. The patients were divided into cervical implantation group and lower uterine implantation group according to the position of placenta implantation. Then, we compared the pregnancy outcomes of the two groups, screened the possible related factors of PAS complicated with cervical implantation by univariate analysis, and established the early warning model by logistic regression analysis.

resultsThe maternal outcome of PAS complicated with cervical implantation was worse than that of the lower uterine implantation group. Through univariate analysis and logistic regression analysis, we found that the cervical width, abundant cervical blood flow, and bladder line interruption were all risk factors of PAS complicated with cervical implantation, and their contribution to the establishment of the regression model was statistically significant.

conclusionPAS complicated with cervical implantation was extremely severe. Early identification of risk factors and establishment of a risk warning model have certain guiding significance for clinical formulation of a reasonable treatment plan.

Indexed as

Placenta AccretaArtificial IntelligenceFemaleHumansInfantPregnancyRetrospective StudiesRisk FactorsUterus

Identifiers

PMID35154621
PMCPMC8837428

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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.