Evidence map›Paper›PMID 38497470›Full record

Observational studyJournal of the American Heart Association2024

Application of Dual-Layer Spectral-Detector Computed Tomography Angiography in Identifying Symptomatic Carotid Atherosclerosis: A Prospective Observational Study.

Jia Zhang, Sijia Li, Lei Wu, Haoyuan Wang, Chuanying Wang, Yinan Zhou, Binbin Sui, Xingquan Zhao

Abstract readObservational Study
In one paragraph

Observational study in Journal of the American Heart Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
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

12 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Observational
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
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

8 authors.

Jia ZhangDepartment of Neurology Beijing Tiantan Hospital, Capital Medical University Beijing China.ORCID 0000-0002-6662-0646
Sijia LiDepartment of Neurology Beijing Tiantan Hospital, Capital Medical University Beijing China.ORCID 0000-0002-0944-7613
Lei WuDepartment of Neurology Beijing Tiantan Hospital, Capital Medical University Beijing China.
Haoyuan WangDepartment of Neurology Beijing Tiantan Hospital, Capital Medical University Beijing China.ORCID 0009-0002-4926-4448
Chuanying WangDepartment of Neurology Beijing Tiantan Hospital, Capital Medical University Beijing China.
Yinan ZhouCT Clinical Specialist Philips Healthcare Beijing China.
Binbin SuiChina National Clinical Research Center for Neurological Diseases Beijing Tiantan Hospital, Capital Medical University Beijing China.ORCID 0000-0002-1052-6992
Xingquan ZhaoDepartment of Neurology Beijing Tiantan Hospital, Capital Medical University Beijing China.ORCID 0000-0001-8345-5147

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDual-layer spectral-detector dual-energy computed tomography angiography (DLCTA) can distinguish components of carotid plaques. Data on identifying symptomatic carotid plaques in patients using DLCTA are not available. METHODS AND

resultsIn this prospective observational study, patients with carotid plaques were enrolled and received DLCTA. The attenuation for both polyenergetic image and virtual monoenergetic images (40, 70, 100, and 140 keV), as well as

conclusionsParameters of DLCTA might help assist in distinguishing symptomatic carotid plaques. Further studies with a larger sample size may address the overlap and improve the diagnostic accuracy.

Indexed as

Carotid Artery DiseasesPlaque, AtheroscleroticAgedComputed Tomography AngiographyFemaleHumansMaleMiddle AgedRadiographic Image Interpretation, Computer-AssistedRetrospective StudiesSignal-To-Noise RatioTomography, X-Ray Computedcarotid plaquecomputed tomography angiographydual‐layer spectral‐detector dual‐energy computed tomographysymptomatic carotid atherosclerosis

Identifiers

PMID38497470
PMCPMC11010034

What OpenQuestion holds

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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.