Evidence map›Paper›PMID 36277024›Full record

ArticleComputational and mathematical methods in medicine2022

Study on the Effect of B-Ultrasound NT Scan in Early Pregnancy Combined with Serum Screening in Early and Middle Pregnancy for Down Syndrome.

Li Li, Cen Ma, Lingyan Sun

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 It has been retracted, and should not be counted.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
1.5field-weighted citation impact, top 16% 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.

Li LiDepartment of Obstetrics and Gynecology Laboratory, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215008, China.
Cen MaDepartment of Obstetrics and Gynecology Laboratory, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215008, China.
Lingyan SunDepartment of Obstetrics and Gynecology Laboratory, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215008, China.ORCID https://orcid.org/0000-0003-4391-2272
Soochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Down syndrome (DS), also known as trisomy 21 syndrome, is a common and most harmful congenital chromosomal genetic disease. This study is aimed at exploring the effect of B-ultrasound NT scan in early pregnancy combined with serum screening in early and middle pregnancy for Down syndrome. Methods: A total of 168 pregnant women who were diagnosed and treated in the obstetric clinic of our hospital from January 2019 to December 2021 were selected as the research objects. B-ultrasound NT scanning and serum detection in the early and middle trimester of pregnancy were performed, respectively. The accuracy of single detection and combined detection was analyzed and compared with the results of amniotic fluid cell chromosome examination as the gold standard. Results: There were 4 cases of DS and 165 cases of non-DS. The serum PAPP-A, AFP, and UE levels in DS group were lower than those in non-DS group. Conclusion: The application of B-ultrasound NT scan in early pregnancy combined with early and mid-term serum comprehensive screening in the screening of Down's infants is helpful to improve the diagnostic coincidence rate and reduce the occurrence of misdiagnosis.

Indexed as

Down Syndromealpha-FetoproteinsBiomarkersFemaleHumansPregnancyPregnancy-Associated Plasma Protein-APregnancy Trimester, FirstUltrasonographyalpha-FetoproteinsBiomarkersPregnancy-Associated Plasma Protein-A

Identifiers

PMID36277024
PMCPMC9584664
OpenAlexW4306146788

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.