Evidence map›Paper›PMID 38044153›Full record

ArticleInternal medicine (Tokyo, Japan)2024

Hemodialysis-induced Myocardial Stunning with No Obstructive Coronary Artery Disease: Pathophysiological Significance of Coronary Microvascular Dysfunction.

Masashi Yokoi, Tsuyoshi Ito, Wataru Suzuki, Junki Yamamoto, Takafumi Nakayama, Taku Ichihashi, Shohei Kikuchi, Shuichi Kitada, Toshihiko Goto, Yoshihiro Seo

Abstract readCase Reports
In one paragraph

Article in Internal medicine (Tokyo, Japan), 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. 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

10 authors.

Masashi YokoiDepartment of Cardiology, Nagoya City University Graduate School of Medical Sciences, Japan.
Tsuyoshi ItoDepartment of Cardiology, Nagoya City University Graduate School of Medical Sciences, Japan.
Wataru SuzukiDepartment of Cardiology, Aichi Medical University, Japan.
Junki YamamotoDepartment of Cardiology, Nagoya City University Graduate School of Medical Sciences, Japan.
Takafumi NakayamaDepartment of Cardiology, Nagoya City University Graduate School of Medical Sciences, Japan.
Taku IchihashiDepartment of Cardiology, Nagoya City University East Medical Center, Japan.
Shohei KikuchiDepartment of Cardiology, Nagoya City University Graduate School of Medical Sciences, Japan.
Shuichi KitadaDepartment of Cardiology, Nagoya City University Graduate School of Medical Sciences, Japan.
Toshihiko GotoDepartment of Cardiology, Nagoya City University Graduate School of Medical Sciences, Japan.
Yoshihiro SeoDepartment of Cardiology, Nagoya City University Graduate School of Medical Sciences, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hemodialysis (HD)-induced myocardial stunning, characterized by transient left ventricular systolic dysfunction during HD, has been reported to be common and associated with a poor prognosis. However, the pathophysiology is not fully understood. We herein report a case of HD-induced myocardial stunning without obstructive coronary artery disease complicated by coronary microvascular dysfunction (CMD), suggesting that CMD plays a crucial role in the pathophysiology of this disease.

Indexed as

Myocardial StunningRenal DialysisCoronary Artery DiseaseCoronary CirculationCoronary VesselsHumansKidney Failure, ChronicMaleMicrocirculationcoronary flow reservecoronary microvascular dysfunctionindex of microvascular resistancemyocardial ischemiamyocardial stunning

Identifiers

PMID38044153
PMCPMC11309868

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.