Evidence map›Paper›PMID 31205887›Full record

ArticleIranian journal of public health2019

Diagnostic Value of Two-Dimensional plus Four-Dimensional Ultrasonography in Fetal Craniocerebral Anomalies.

Yingjin Wang, Xiaoyuan Chen, Shujuan Zhong, Rong Zhang, Yanyan Pan, Peili An, Xinru Gao

Abstract read
In one paragraph

Article in Iranian journal of public health, 2019. 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.

Yingjin WangMedical Ultrasound Centre, Northwest Women's and Children's Hospital, Xian 710061, P.R. China.
Xiaoyuan ChenMedical Ultrasound Centre, Northwest Women's and Children's Hospital, Xian 710061, P.R. China.
Shujuan ZhongMedical Ultrasound Centre, Northwest Women's and Children's Hospital, Xian 710061, P.R. China.
Rong ZhangMedical Ultrasound Centre, Northwest Women's and Children's Hospital, Xian 710061, P.R. China.
Yanyan PanMedical Ultrasound Centre, Northwest Women's and Children's Hospital, Xian 710061, P.R. China.
Peili AnMedical Ultrasound Centre, Northwest Women's and Children's Hospital, Xian 710061, P.R. China.
Xinru GaoMedical Ultrasound Centre, Northwest Women's and Children's Hospital, Xian 710061, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo assess the clinical value of two-dimensional (2D) plus four-dimensional (4D) ultrasonography in diagnosis of fetal craniocerebral anomalies.

methodsRetrospective analysis was performed on the sonographic features of 83 maternity patients admitted to Northwest Women's and Children's Hospital, Xian China from January 2013 to December 2017 diagnosed with suspected fetal anomalies of the brain and skull through 2D and 4D ultrasonography.

resultsFifty six patients were diagnosed with the anomalies by 2D ultrasonography only, 65 patients by 4D ultrasonography only, and 74 patients by 2D plus 4D ultrasonography.76 patients were confirmed to have fetal craniocerebral anomalies after birth or induced labor. Diagnostic accuracies of 2D ultrasound only, 4D ultra-sound only, and 2D plus 4D ultrasound were 68.67%, 81.93% and 95.18%, respectively (

conclusionCombined ultrasonography can better differentiate fetal craniocerebral anomalies, providing early and more accurate information for clinicians as well as maternity patients to make a decision. This clinical practice would be valuable for improving the quality of the newborn population.

Indexed as

Diagnostic valueFetal craniocerebral anomaliesFour-dimensional ultrasoundTwo-dimensional ultrasound

Identifiers

PMID31205887
PMCPMC6556185

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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.