Evidence map›Paper›PMID 35126627›Full record

ArticleComputational and mathematical methods in medicine2022

Evaluation of Cardiac Function of Pregnant Women with High Blood Pressure during Gestation Period and Coupling of Hearts with Peripheral Vessels by Ultrasonic Cardiogram under Artificial Intelligence Algorithm.

Xia Zhang, Xi Liang, Wen Cao

RetractedOpen access · hybridAbstract readRetracted Publication
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. It has been retracted, and should not be counted. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Xia ZhangDepartment of Function, The Affiliated Wuxi Maternal and Child Health Care Hospital of Nanjing Medical University, Wuxi, 214002 Jiangsu, China.ORCID https://orcid.org/0000-0003-1579-2517
Xi LiangDepartment of Function, The Affiliated Wuxi Maternal and Child Health Care Hospital of Nanjing Medical University, Wuxi, 214002 Jiangsu, China.ORCID https://orcid.org/0000-0002-3857-7468
Wen CaoDepartment of Function, The Affiliated Wuxi Maternal and Child Health Care Hospital of Nanjing Medical University, Wuxi, 214002 Jiangsu, China.ORCID https://orcid.org/0000-0002-1882-5620
Nanjing Maternity and Child Health Care Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The research was aimed at analyzing the value of the optimized eXtreme Gradient Boosting (XGBoost) algorithm-based ultrasound cardiogram images in the diagnosis of pregnant hypertension patients. A total of 145 pregnant women (85 cases suffered from hypertension disease during pregnancy and 60 other normal women were healthy) were selected as the reference to the comparison and analysis of ultrasound cardiac function parameter, common carotid artery parameter, and the coupling relationship between hearts and cervical vessels of pregnant hypertension patients. The results demonstrated ultrasound cardiac function parameter of pregnant hypertension patients as follows. The maximum volume of the left atrium (LAVmax) was 35.65 mm, left ventricular end-systolic volume (LVESV) was 31.07 mm, and left ventricular end-diastolic volume (LVEDV) was 88.73 mm. All the above indexes were obviously higher than those of the normal control group (

Indexed as

AlgorithmsAdultArtificial IntelligenceBlood Flow VelocityBlood VolumeCarotid Intima-Media ThicknessCase-Control StudiesComputational BiologyEchocardiography, Doppler, ColorFemaleHeart AtriaHumansHypertensionPregnancyPregnancy Complications, CardiovascularVentricular Function, Left

Identifiers

PMID35126627
PMCPMC8813232
OpenAlexW4210309227

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.