Evidence map›Paper›PMID 36371215›Full record

ArticleOrphanet journal of rare diseases2022

Fetal umbilical artery thrombosis: prenatal diagnosis, treatment and follow-up.

Xiafang Wu, Chenchen Wei, Ruifeng Chen, Linxian Yang, Weifei Huang, Liang Huang, XinXin Yan, Xuedong Deng, Zhongshan Gou

Open access · goldAbstract read
In one paragraph

Article in Orphanet journal of rare diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
4.6field-weighted citation impact, top 4% 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

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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

18 citing papers in PubMed, 26 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

9 authors at 5 institutions in 1 country.

Xiafang Wu *Department of Ultrasonography, Taizhou Hospital of Zhejiang Province, Affiliated to Wenzhou Medical University, Linhai, Zhejiang, China.
Chenchen Wei *Center for Cardiovascular Disease, The Affiliated Suzhou Hospital of Nanjing Medical University, 242# Guangji Road, Suzhou, 215002, Jiangsu, China.
Ruifeng ChenDepartment of Ultrasonography, Affiliated Changsha Central Hospital of South China University, Changsha, Hunan, China.
Linxian YangDepartment of Ultrasonography, Taizhou Hospital of Zhejiang Province, Affiliated to Wenzhou Medical University, Linhai, Zhejiang, China.
Weifei HuangDepartment of Ultrasonography, Taizhou Hospital of Zhejiang Province, Affiliated to Wenzhou Medical University, Linhai, Zhejiang, China.
Liang HuangDepartment of Ultrasonography, Tongren People's Hospital, Tongren, Guizhou, China.
XinXin YanDepartment of Pharmacology, The Affiliated Suzhou Hospital of Nanjing Medical University, 242# Guangji Road, Suzhou, 215002, Jiangsu, China. yxinxin2221@163.com.
Xuedong DengCenter for Medical Ultrasound, The Affiliated Suzhou Hospital of Nanjing Medical University, 242# Guangji Road, Suzhou, 215002, Jiangsu, China. 13962112038@163.com.
Zhongshan GouCenter for Cardiovascular Disease, The Affiliated Suzhou Hospital of Nanjing Medical University, 242# Guangji Road, Suzhou, 215002, Jiangsu, China. gzhongshan1986@163.com.ORCID 0000-0003-4403-0765
Suzhou Guangji Hospital · CNWenzhou Medical University · CNChangsha Central Hospital · CNNanjing Medical University · CNTongren Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo analyze the ultrasound imaging and clinical characteristics of fetuses with umbilical artery thrombosis (UAT), explore the potential causes of UAT and construct a prognostic prediction model to guide clinical practice.

methodsThis was a retrospective cohort study of fetal UAT cases examined at two academic tertiary referral care centers from 2014 to 2020. The basic information of the participants was obtained by interview during follow-up, and data on clinical treatment, delivery conditions, diagnosis and confirmation were obtained through medical records. Probable causes of thrombosis were explored by comparative analysis of the UAT group to the control group and by further regression analysis. Multivariable logistic regression models were used to evaluate risk factors for adverse pregnancy outcomes. Receiver operating characteristic (ROC) curves were constructed to evaluate the diagnostic value of the prognostic prediction model.

resultsThirty fetuses with UAT were included in this study. UAT occurred mostly in the third trimester of pregnancy, and there was an obvious predominance of right UAT. An abnormal pregnancy history (53.3%) was the most common comorbidity, followed by gestational diabetes mellitus (GDM) (20.0%). GDM and umbilical cord (UC) abnormalities were found to be independent risk factors for the development of UAT. After comprehensive decision-making, over two-thirds of the patients with UAT received urgent treatment, and less than one-third received expectant management. Surprisingly, there were no significant differences in fetal outcomes between the urgent treatment and expectant management groups. Multivariate logistic regression analysis showed that gestational age (GA) at clinical diagnosis and UC abnormalities were independent risk factors for adverse pregnancy outcomes (OR 0.781, p = 0.042; OR 16.779, p = 0.023, respectively). Based on this, we constructed a comprehensive prognostic prediction model. The area under the ROC curve (AUC) was 0.877 (95% CI 0.698-0.970; p < 0.001), which suggested that the combination of GA and UC abnormalities was a better predictor for fetal outcomes in our setting.

conclusionIn summary, maternal GDM and fetal UC abnormalities are independent risk factors for UAT. UAT is more frequently observed on the right side. Moreover, poor clinical outcomes for fetuses with UAT are ascribed mainly to GA and UC abnormalities, which should be comprehensively evaluated to choose the appropriate treatment.

Indexed as

ThrombosisUmbilical ArteriesFemaleFollow-Up StudiesHumansInfant, NewbornInfant, Small for Gestational AgePregnancyPrenatal DiagnosisRetrospective StudiesUltrasonography, PrenatalAdverse pregnancy outcomesGestational diabetes mellitusUmbilical artery thrombosisUmbilical cord abnormalities

Identifiers

PMID36371215
PMCPMC9652808
OpenAlexW4309073374

What OpenQuestion holds

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LicenceCC BY
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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.