Evidence map›Paper›PMID 30218119›Full record

ArticlePediatric cardiology2019

Utilization of Coronary Artery to Aorta for the Early Detection of Kawasaki Disease.

Ji-Hoon Na, Sohyun Kim, Lucy Youngmin Eun

Abstract read
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In one paragraph

Article in Pediatric cardiology, 2019. 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
–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

3 citing papers in PubMed.

  1. Article
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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

3 authors.

Ji-Hoon NaDepartment of Pediatrics, Yonsei University College of Medicine, Seoul, South Korea.
Sohyun KimDepartment of Pediatrics, Yonsei University College of Medicine, Seoul, South Korea.
Lucy Youngmin EunDepartment of Pediatrics, Yonsei University College of Medicine, Seoul, South Korea. lucyeun@yuhs.ac.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Timely diagnosis of coronary involvement is paramount in Kawasaki disease (KD) as it can be associated with long-term morbidity. However, echocardiographic measurements of coronary artery dilation in KD are inconsistent and not proficient for all abnormal arteries. The purpose of this study was to investigate more valuable indices and determine their sensitivity and specificity for early diagnosis of coronary involvement in KD. We performed this retrospective study in 218 children. All patients underwent laboratory and echocardiographic evaluations upon admission. We measured the size of the left main coronary artery (LMA), left anterior descending coronary artery (LAD), right coronary artery (RCA), and aorta (Ao), and calculated the LMA/Ao, LAD/Ao, and RCA/Ao ratios. We also calculated the cut-off values of each index using receiver operating characteristic curves. LMA, LAD, and RCA measurements did not correlate with white blood cell count, platelet count, erythrocyte sedimentation rate, C-reactive protein level, or brain natriuretic peptide level. The LMA measurement was associated with hemoglobin, hematocrit, and iron saturation. LAD/Ao was correlated with white blood cell and platelet counts (P < 0.05), whereas RCA/Ao was correlated with ferritin level (P < 0.05). The cut-off value of LMA/Ao was 0.2, with a sensitivity of 85% and specificity of 70%. Individual coronary artery/Ao ratios might provide helpful insight for detection of coronary abnormality in KD in the acute phase. Further investigation is essential to clarify prompt early diagnosis of coronary involvement in KD.

Indexed as

AortaChildChild, PreschoolCoronary Artery DiseaseCoronary VesselsEchocardiographyHumansInfantMucocutaneous Lymph Node SyndromeRetrospective StudiesSensitivity and SpecificityKawasaki diseaseLAD/AoLMA/AoRCA/Aoz Score

Identifiers

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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.