Evidence map›Paper›PMID 38577398›Full record

ArticleInternational journal of general medicine2024

Diagnostic Value of Carotid Plaque Assessment with AIS Based on Quantitative Parameters of Dual-Layer Detector Spectral CT.

Xiaoying Meng, Fei Li, Wenpei Wu, Juncang Wu

Open access · goldAbstract read
In one paragraph

Article in International journal of general medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 40% 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, 3 citations in OpenAlex.

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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

4 authors at 3 institutions in 1 country.

Xiaoying MengDepartment of Neurology, Hefei Hospital Affiliated to Anhui Medical University (Hefei Second People's Hospital), Hefei, Anhui, 230011, People's Republic of China.
Fei LiThe Fifth Clinical School of Medicine, Anhui Medical University, Hefei, Anhui, 230032, People's Republic of China.
Wenpei WuDepartment of Neurology, Hefei Second People's Hospital Affiliated to Bengbu Medical College, Hefei, Anhui, 230011, People's Republic of China.
Juncang WuDepartment of Neurology, Hefei Hospital Affiliated to Anhui Medical University (Hefei Second People's Hospital), Hefei, Anhui, 230011, People's Republic of China.
Second Affiliated Hospital of Anhui Medical University · CNAnhui Medical University · CNBengbu Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To investigate the quantitative assessment of carotid plaque by each parameter of dual-layer detector spectral CT and its diagnostic value in patients with acute cerebral infarction. Patients and Methods: Eighty-three patients with carotid atherosclerotic plaques who underwent spectral CT scanning were retrospectively included. Forty-two patients with acute ischaemic stroke (AIS) were included in the study group, and 41 patients without AIS were included in the control group. We compared the detection of carotid plaques in the two groups and the differences in the spectral quantitative parameters of the plaques in the two groups, and their diagnostic efficacy was obtained. Results: The detection rate of carotid plaques in the AIS group was higher than that in the non-AIS group ( Conclusion: In summary, the quantitative parameters of dual-layer detector spectral CT can be used to assess plaque stability and have certain value in the diagnosis of AIS. The quantitative parameters can effectively differentiate carotid plaques in AIS and non-AIS patients.

Indexed as

anhydrous iodine valuescarotid plaqueeffective atomic numberelectron densityiodine density valuesischemic strokespectral CT

Identifiers

PMID38577398
PMCPMC10993903
OpenAlexW4393343901

What OpenQuestion holds

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LicenceCC BY-NC
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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.