Evidence map›Paper›PMID 35633923›Full record

ArticleComputational and mathematical methods in medicine2022

Prediction of Fetal Growth Restriction for Fetal Umbilical Arterial/Venous Blood Flow Index Evaluated by Ultrasonic Doppler under Intelligent Algorithm.

Xinying Yu, Ye Yao, Dan Wang, Jiani Tang, Jing Lu

Open access · hybridAbstract read
In one paragraph

Article in Computational and mathematical methods in medicine, 2022. 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
0.2field-weighted citation impact, top 48% 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

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, 2 citations in OpenAlex.

  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

5 authors at 1 institution in 1 country.

Xinying YuDepartment of Obstetrics, The Affiliated Changzhou No.2 People's Hospital of Nanjing Medical University, Changzhou, 213004 Jiangsu, China.ORCID https://orcid.org/0000-0002-4571-431X
Ye YaoDepartment of Ultrasound, The Affiliated Changzhou No.2 People's Hospital of Nanjing Medical University, Changzhou, 213004 Jiangsu, China.ORCID https://orcid.org/0000-0002-9643-3470
Dan WangDepartment of Obstetrics, The Affiliated Changzhou No.2 People's Hospital of Nanjing Medical University, Changzhou, 213004 Jiangsu, China.ORCID https://orcid.org/0000-0003-2307-3555
Jiani TangDepartment of Obstetrics, The Affiliated Changzhou No.2 People's Hospital of Nanjing Medical University, Changzhou, 213004 Jiangsu, China.ORCID https://orcid.org/0000-0001-6827-7995
Jing LuDepartment of Obstetrics, The Affiliated Changzhou No.2 People's Hospital of Nanjing Medical University, Changzhou, 213004 Jiangsu, China.ORCID https://orcid.org/0000-0001-5706-6957
Changzhou No.2 People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The empirical wavelet transform (EWT) algorithm was applied in ultrasound to explore the predictive value for fetal growth restriction (FGR) in fetal arteriovenous indexes. 142 pregnant women who received prenatal ultrasonic examination and delivered were selected. They were classified into control group and FGR group. There were 102 patients with normal pregnancy in the control group, and 40 patients with delayed fetal growth in the FGR group. The extended triple collocation (ETC) algorithm was employed to divide the Fourier spectrum of signals adaptively, and the constructed small filter banks were classified into corresponding intervals. The instantaneous frequency was analyzed, and the arterial blood flow indexes of the two groups were compared. The results showed that the time-frequency analysis method under EWT had lower normalization error and higher accuracy. The inner diameter and cross-sectional area of FGR were remarkably smaller than those of the control group, and the differences were statistically significant (

Indexed as

Fetal Growth RetardationUltrasonicsAlgorithmsArteriesFemaleHumansPregnancyUltrasonography, Prenatal

Identifiers

PMID35633923
PMCPMC9135523
OpenAlexW4280512976

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.