Evidence map›Paper›PMID 34103593›Full record

Trial reportScientific reports2021

Diagnosis of extracranial carotid stenosis by MRA of the brain.

Chia-Hung Wu, Shu-Ting Chen, Jung-Hsuan Chen, Chih-Ping Chung, Chao-Bao Luo, Wei-Hsin Yuan, Feng-Chi Chang, Han-Hwa Hu

Abstract readClinical Trial
In one paragraph

Trial report in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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.

Chia-Hung WuDepartment of Radiology, Taipei Veterans General Hospital, No. 201, Section 2, Shipai Road, Beitou District, Taipei, 11217, Taiwan.
Shu-Ting ChenDepartment of Radiology, Taipei Veterans General Hospital, No. 201, Section 2, Shipai Road, Beitou District, Taipei, 11217, Taiwan.
Jung-Hsuan ChenDepartment of Radiology, Taipei Veterans General Hospital, No. 201, Section 2, Shipai Road, Beitou District, Taipei, 11217, Taiwan.
Chih-Ping ChungDepartment of Neurology, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan.
Chao-Bao LuoDepartment of Radiology, Taipei Veterans General Hospital, No. 201, Section 2, Shipai Road, Beitou District, Taipei, 11217, Taiwan.
Wei-Hsin YuanDepartment of Radiology, Taipei Veterans General Hospital, No. 201, Section 2, Shipai Road, Beitou District, Taipei, 11217, Taiwan.
Feng-Chi ChangDepartment of Radiology, Taipei Veterans General Hospital, No. 201, Section 2, Shipai Road, Beitou District, Taipei, 11217, Taiwan. fcchang374@gmail.com.
Han-Hwa HuDepartment of Neurology, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Severe extracranial carotid stenosis (SECS) patients may present with nonspecific neurological symptoms that require intracranial magnetic resonance imaging (MRI) and time-of-flight (TOF)-MR angiography (MRA) to exclude intracranial pathology. Recognition of SECS on intracranial TOF-MRA findings is beneficial to provide a prompt carotid imaging study and aggressive stroke prevention. Patients with SECS (January 2016 to May 2019) undergoing percutaneous transluminal angioplasty and stenting (PTAS) were included. Differences in normalized signal intensities (SR

Indexed as

AngioplastyCarotid ArteriesCarotid StenosisMagnetic Resonance AngiographyAgedAged, 80 and overBrainFemaleHumansMaleMiddle AgedRetrospective StudiesSeverity of Illness IndexStroke

Identifiers

PMID34103593
PMCPMC8187356

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.