Evidence map›Paper›PMID 34484654›Full record

Observational studyJournal of healthcare engineering2021

The Clinical Value of 3D Ultrasonic Measurement of the Ratio of Gestational Sac Volume to Embryo Volume in IoT-Based Prediction of Pregnancy Outcome.

Yong Wang, Tiantian Li, Lichun Zhang, Jing Li, Bo Zou, Bhupesh Kumar Singh

RetractedOpen access · hybridAbstract readObservational StudyRetracted Publication
In one paragraph

Observational study in Journal of healthcare engineering, 2021. 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 It has been retracted, and should not be counted.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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 2 countries.

Yong WangUltrasonic Department, The First Hospital of Qiqihar, Southern Medical University, Qiqihar 161000, China.ORCID 0000-0002-4416-2111
Tiantian LiUltrasonic Department, The First Hospital of Qiqihar, Southern Medical University, Qiqihar 161000, China.ORCID 0000-0002-8033-2966
Lichun ZhangUltrasonic Department, The First Hospital of Qiqihar, Southern Medical University, Qiqihar 161000, China.ORCID 0000-0003-4465-659X
Jing LiUltrasonic Department, The First Hospital of Qiqihar, Southern Medical University, Qiqihar 161000, China.ORCID 0000-0002-1753-4020
Bo ZouUltrasonic Department, The First Hospital of Qiqihar, Southern Medical University, Qiqihar 161000, China.ORCID 0000-0002-1362-5099
Bhupesh Kumar SinghArba Minch Institute of Technology, Arba Minch University, Ethiopia.ORCID 0000-0002-3262-1894
Southern Medical University · CNArba Minch University · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of the research study is to investigate the use of three-dimensional ultrasonic measurement technology, to determine the size of gestational sac and embryo volume, and to use the ratio of gestational sac volume to embryo volume in IoT-based prediction of pregnancy outcome. The abnormal and normal pregnancy identifiers are there, which assists in prediction of pregnancy outcomes: whether the pregnancy is normal or may suffer pregnancy loss during first trimester. For the observational study, 500 singleton pregnant women who made an appointment for delivery in Qiqihar Hospital from January 2015 to June 2019 were considered. The 500 pregnant women received transvaginal ultrasound at 6

Indexed as

Gestational SacPregnancy OutcomeFemaleHumansPregnancyPregnancy Trimester, FirstUltrasonicsUltrasonography, Prenatal

Identifiers

PMID34484654
PMCPMC8410420
OpenAlexW3195326163

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.