Evidence map›Paper›PMID 32256739›Full record

ArticleExperimental and therapeutic medicine2020

Utility of color Doppler echocardiography combined with clinical markers in diagnosis and prediction of prognosis of coronary artery lesions in Kawasaki disease.

Mei Xue, Jing Wang

Open access · diamondAbstract read
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Article in Experimental and therapeutic medicine, 2020. 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
0.8field-weighted citation impact, top 28% 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.

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 5 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Mei XueDepartment of Ultrasound Diagnosis, The Affiliated Hospital of Inner Mongolia Medical University, Hohhot, Inner Mongolia Autonomous Region 010050, P.R. China.
Jing WangDepartment of Ultrasound Diagnosis, The Affiliated Hospital of Inner Mongolia Medical University, Hohhot, Inner Mongolia Autonomous Region 010050, P.R. China.
Inner Mongolia Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The utility of color Doppler echocardiography in the diagnosis and follow-up of Kawasaki disease (KD) with coronary artery lesions (CAL) was analyzed, and the clinical parameters associated with the disease were examined. The general data, the color Doppler echocardiography data and the biochemical indexes from 102 children with KD were analyzed. The patients were divided into a CAL group and a non-coronary artery lesion (NCAL) group based on the presence or absence of CAL. The risk factors for CAL in KD were screened by univariate and multivariate analyses. Among the 102 cases, CAL complications were identified in 47 cases (46.08%). Compared with the NCAL group, the CAL group showed significantly higher incidences of fever duration, increased levels of N-terminal pro B-type natriuretic peptide (NT-proBNP), cardiac troponin I (cTnI), C-reactive protein (CRP), intravenous immunoglobulin resistance, erythrocyte sedimentation rate (ESR), platelets, alanine aminotransferase and aspartate aminotransferase, and significantly lower serum albumin levels (P<0.05). According to the multivariate analysis, fever duration [odds ratio (OR)=2.014], NT-proBNP (OR=3.004), cTnI level (OR=2.638), ESR (OR=1.461) and CRP elevation (OR=1.094) were predictors of CAL in KD. During convalescence, the left and right coronary artery diameters in the CAL group significantly decreased (P<0.05). Color Doppler echocardiography can observe the condition of coronary artery disease in patients with KD in real time and predicts its outcomes, which may be helpful for early diagnosis and long-term follow-up. Fever duration, cTnI, NT-proBNP and ESR levels were correlated with coronary artery diameter, of which the comprehensive use may be more accurate in determining the occurrence of CAL in KD.

Indexed as

CALcolor Doppler EchocardiographyCRPcTnIKDNT-proBNP

Identifiers

PMID32256739
PMCPMC7086289
OpenAlexW3005940411

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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.