Evidence map›Paper›PMID 28842652›Full record

ArticleScientific reports2017

Application of color Doppler ultrasound combined with Doppler imaging artifacts in the diagnosis and estimate of congenital hypertrophic pyloric stenosis.

Suihong Ma, Jianhua Liu, Youxiang Zhang, Yuwen Yang, Hai Jin, Xiaomei Ma, Hongqin Wei

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
–field-weighted citation impact, top 83% of its field
1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 4 institutions in 1 country.

Suihong MaThe First Affiliated Hospital of Jinan University, Guangzhou, China.
Jianhua LiuDepartment of Medical Ultrasound, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China. liujianhua266@163.com.
Youxiang ZhangThe Second Affiliated Hospital of South China University of Technology, Guangzhou, China.
Yuwen YangDepartment of Medical Ultrasound, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China.
Hai JinDepartment of Medical Ultrasound, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China.
Xiaomei MaDepartment of Medical ultrasound, BaoAncentral Hospital of Shenzhen, Guangdong, China.
Hongqin WeiDepartment of Medical Ultrasound, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China.
Guangzhou First People's Hospital · CNSecond Affiliated Hospital of Guangzhou Medical University · CNGuangzhou Medical University · CNSouth China University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Congenital Hypertrophic Pyloric Stenosis (CHPS) is a disease condition that is caused as a result of pylorus wall hypertrophy and hyperplasia. In this study, we used color Doppler flow imaging (CDFI) and Doppler artifacts technique to observe the blood flow of hypertrophic pylorus tissue and the dynamic imaging of liquid passing through the pyloric canal in CHPS infants. 65 cases of CHPS infants and 50 infants without CHPS served as control group. We found that there were statistically significant differences between the blood flow grade of muscular layer and mucosal layer between CHPS and control infants, but no significant differences were observed in the same group. Doppler artifacts technique demonstrated the whole process of contrast agent flow through pyloric canal was directly observed in 35 of 65 subjects, and the internal diameter of the pyloric canal was 1.93 ± 0.33mm.Conclusion that CDFI combined with color Doppler artifacts technique was proved to be effective to observe the distribution feature and blood flow grade in each layer of pyloric canal in CHPS patients. This method provides the evidence for judging the degree of pyloric stenosis clinically, and furnishes the basis of therapy along with its clinical significance and good application value.

Indexed as

Ultrasonography, Doppler, ColorBiomarkersCase-Control StudiesFemaleHumansImage Processing, Computer-AssistedInfantInfant, NewbornMalePyloric Stenosis, HypertrophicBiomarkers

Identifiers

PMID28842652
PMCPMC5573336
OpenAlexW2747469837

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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.