ArticleJournal of healthcare engineering2022
Analysis of Carotid Ultrasound Screening of High-Risk Groups of Stroke Based on Big Data Technology.
Article in Journal of healthcare engineering, 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 It has been retracted, and should not be counted.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 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed.
- Validation and Refinement of Scores to Predict Stroke Risk: Prospective Cohort Study.JMIR public health and surveillance · 2025Article
- Glycemic control and asymptomatic carotid plaque and carotid intima-media thickness.BMJ open diabetes research & care · 2025Article
- Retracted: Analysis of Carotid Ultrasound Screening of High-Risk Groups of Stroke Based on Big Data Technology.Journal of healthcare engineering · 2023Article
- Association between daily screen time and risk of stroke among middle-aged and elderly people: research based on China health and nutrition survey.Frontiers in sports and active living · 2023Article
Corrections and comments
- Retraction · 2023-12-06Compromised Peer Review · Investigation by Journal/Publisher · Investigation by Third Party · Paper Mill · Unreliable Results and/or Conclusions ·
- Retracted
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In order to understand detection of carotid atherosclerosis in the screening of high-risk stroke populations in a certain area of China, we have analyzed related risk factors of CAS. In accordance with the requirements of the "2015 Technical Plan for the Screening and Intervention Projects for High-Risk Stroke Populations," a cluster sampling method was used to select 4532 (number of screened persons from 2015 to 2021) permanent residents over 41 years old () in Shaheying Town, Liulin Town, Chenggu County, Hanzhong City, Shaanxi Province, and Da'an Town, Ningqiang County, and nearby communities are selected as the screening targets. We screened out high-risk groups of stroke based on big data technology and understood the detection of CAS. According to the screening results of big data technology, it was divided into two groups: CAS group and non-CAS group. The basic information, medical history, personal lifestyle, physical examination, and laboratory examination results of the two groups were classified and counted. The measurement data such as age and waist circumference of the two groups were tested by two independent samples, and the count data of gender, stroke history, hypertension, and other data were tested by the
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Registered trials
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