Evidence map›Paper›PMID 35126910›Full record

ArticleJournal of healthcare engineering2022

Analysis on Value of Applying Serum miR-144 and miR-221 Levels in Diagnosing Atherosclerosis.

Jianxiu Zhang, Qian Cao, Zhenying Zhang, Chenguang Du, Lizhong Wang

RetractedOpen access · hybridAbstract readRetracted Publication
In one paragraph

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 It has been retracted, and should not be counted.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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 56% 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, 2 citations in OpenAlex.

  1. Review
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Jianxiu ZhangCardiac Rehabilitation Centre, Beijing Rehabilitation Hospital of Capital Medical University, Beijing 100144, China.
Qian CaoCardiac Rehabilitation Centre, Beijing Rehabilitation Hospital of Capital Medical University, Beijing 100144, China.
Zhenying ZhangCardiac Rehabilitation Centre, Beijing Rehabilitation Hospital of Capital Medical University, Beijing 100144, China.
Chenguang DuCardiac Rehabilitation Centre, College of Traditional Chinese Medicine, North China University of Technology, Tangshan, Hebei Province 063210, China.
Lizhong WangCardiac Rehabilitation Centre, Beijing Rehabilitation Hospital of Capital Medical University, Beijing 100144, China.ORCID 0000-0001-9765-1536
Capital Medical University · CNNorth China University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo explore the value of serum miR-144 and miR-221 in diagnosing atherosclerosis (AS).

methodsThe clinical data of 52 AS patients treated in the department of cardiovascular medicine of our hospital from August 2019 to August 2020 were retrospectively analyzed, and 53 healthy persons were selected from the physical examination center at the same period as the control group. By measuring the indicators including the serum vascular endothelial growth factor (VEGF), superoxide dismutase (SOD), miR-144, and miR-221 in patients of both groups, their value of diagnosing AS was analyzed.

resultsCompared with the control group, the AS group obtained significantly higher serum miR-221 and miR-144 expression levels (

conclusionSerum miR-221 and miR-144 expression levels are increased in AS patients, and combining the two indicators in diagnosis is more accurate and can provide an accurate basis for diagnosis and condition assessment of AS.

Indexed as

AtherosclerosisMicroRNAsHumansRetrospective StudiesSuperoxide DismutaseVascular Endothelial Growth Factor AMicroRNAsMIR221, humanMIRN144 microRNA, humanSuperoxide DismutaseVascular Endothelial Growth Factor A

Identifiers

PMID35126910
PMCPMC8808211
OpenAlexW4210552844

What OpenQuestion 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 OpenQuestion graph.