Evidence map›Paper›PMID 38826833›Full record

ArticleInternational journal of cardiology. Heart & vasculature2024

Usefulness of platelet count to predict concomitant valvular heart disease in patients with systemic lupus erythematosus.

Hiroki Usuku, Eiichiro Yamamoto, Komei Sakata, Shinya Hirata, Ayano Toda, Fumi Oike, Noriaki Tabata, Masanobu Ishii, Shinsuke Hanatani, Tadashi Hoshiyama and 8 more

Abstract read
In one paragraph

Article in International journal of cardiology. Heart & vasculature, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Recent highlights from theInternational journal of cardiology. Heart & vasculature · 2025
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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

18 authors.

Hiroki UsukuDepartment of Laboratory Medicine, Kumamoto University Hospital, Kumamoto, Japan.
Eiichiro YamamotoDepartment of Cardiovascular Medicine, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.
Komei SakataDepartment of Hematology, Rheumatology, and Infectious Diseases, Graduate School of Medical Science, Kumamoto University, Kumamoto, Japan.
Shinya HirataDepartment of Hematology, Rheumatology, and Infectious Diseases, Graduate School of Medical Science, Kumamoto University, Kumamoto, Japan.
Ayano TodaDepartment of Laboratory Medicine, Kumamoto University Hospital, Kumamoto, Japan.
Fumi OikeDepartment of Cardiovascular Medicine, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.
Noriaki TabataDepartment of Cardiovascular Medicine, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.
Masanobu IshiiDepartment of Cardiovascular Medicine, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.
Shinsuke HanataniDepartment of Cardiovascular Medicine, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.
Tadashi HoshiyamaDepartment of Cardiovascular Medicine, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.
Daisuke SuetaDepartment of Cardiovascular Medicine, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.
Hisanori KanazawaDepartment of Cardiovascular Medicine, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.
Yuichiro ArimaDepartment of Cardiovascular Medicine, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.
Seiji TakashioDepartment of Cardiovascular Medicine, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.
Yasushi MatsuzawaDepartment of Cardiovascular Medicine, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.
Hiroaki KawanoDepartment of Cardiovascular Medicine, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.
Jun-Ichirou YasunagaDepartment of Hematology, Rheumatology, and Infectious Diseases, Graduate School of Medical Science, Kumamoto University, Kumamoto, Japan.
Kenichi TsujitaDepartment of Cardiovascular Medicine, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Although the prevalence rate of valvular heart disease (VHD) is high in patients with systemic lupus erythematosus (SLE), the predictive factors of concomitant VHD have not been fully evaluated. Methods and results: Among 288 patients with SLE who underwent transthoracic echocardiography at Kumamoto University Hospital from 2016 to 2021, 241 patients with sufficient echocardiographic data were retrospectively analysed. Among them, 22 (9 %) had VHD (10 had mitral regurgitation, 3 had aortic regurgitation, 6 had tricuspid regurgitation, 1 had mitral regurgitation and tricuspid regurgitation, and 2 had a prosthetic cardiac valve). After excluding the two patients with a prosthetic cardiac valve, we divided the remaining patients into two groups: the VHD group and non-VHD group. Multivariate logistic regression analysis revealed that age and the platelet count were significantly and independently associated with having VHD (age: odds ratio, 1.06; 95 % confidence interval, 1.02-1.10; p < 0.01) (platelet count: odds ratio, 0.99; 95 % confidence interval, 0.98-1.00; p < 0.05). After excluding 95 patients aged < 40 years, receiver operating characteristic analysis revealed that the area under the curve of the platelet count for prediction of VHD was 0.73 with an optimal cut-off value of 166.5 × 10 Conclusion: The platelet count is useful to predict concomitant VHD in middle-aged and older patients with SLE.

Indexed as

Platelet countSystemic lupus erythematosusValvular heart disease

Identifiers

PMID38826833
PMCPMC11143897

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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.