Evidence map›Paper›PMID 35035692›Full record

ArticleAmerican journal of translational research2021

Prognostic value of color Doppler ultrasound, D-dimer, and Lp-PLA2 levels in carotid atherosclerotic stenosis.

Yu Kong, Ying Kong, Yunyi Dai, Jianping Zhang

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 44% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. 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

4 authors at 1 institution in 1 country.

Yu KongThe Second Department of Neurology, Shangqiu First People's Hospital Shangqiu 476000, Henan Province, China.
Ying KongUltrasonography Department, Shangqiu First People's Hospital Shangqiu 476000, Henan Province, China.
Yunyi DaiThe Second Department of Neurology, Shangqiu First People's Hospital Shangqiu 476000, Henan Province, China.
Jianping ZhangThe Second Department of Neurology, Shangqiu First People's Hospital Shangqiu 476000, Henan Province, China.
Shangqiu First People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis research mainly explored the prognostic value of color Doppler ultrasound combined with D-dimer and Lp-PLA2 levels in carotid atherosclerotic stenosis.

methodsFrom January 2018 to August 2020, 67 patients (patient group) who were diagnosed as cerebral infarction by neurology and carotid atherosclerotic stenosis by digital subtraction angiography (DSA) were recruited in this research. Fifty healthy people served as controls and were brought into this research. PI (pulsatility index), RI (resistance index), Vd (end diastolic velocity), and Vs (peak systolic velocity) were obtained by color Doppler ultrasound vascular wall imaging. The levels of D-dimer and Lp-PLA2 in serum were examined. The receiver operating characteristics (ROC) curve was employed to analyze the diagnostic efficacy of color Doppler ultrasound imaging parameters, serum D-dimer, and lipoprotein-associated phospholipase A2 (Lp-PLA2) levels on the prognosis of patients with carotid atherosclerotic stenosis.

resultsThe levels of PI, RI, serum D-dimer, and Lp-PLA2 in the patient group were higher than those in the control group (

conclusionVd parameters and Lp-PLA2 levels have high clinical values in carotid atherosclerotic stenosis, and are worthy of clinical application.

Indexed as

carotid atherosclerotic stenosisColor Doppler ultrasoundD-dimerLp-PLA2prognosis

Identifiers

PMID35035692
PMCPMC8748169
OpenAlexW4206869463

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.