Evidence map›Paper›PMID 36484929›Full record

ArticleJA clinical reports2022

Drastic improvement of cardiac function after living-donor renal transplantation in a long-term hemodialysis patient with severe mitral regurgitation.

Satoko Noguchi, Junichi Saito, Eiji Hashiba, Kazuyoshi Hirota

Open access · goldAbstract read
In one paragraph

Article in JA clinical reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 72% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

4 authors at 1 institution in 1 country.

Satoko NoguchiDepartment of Anesthesiology, Hirosaki University Graduate School of Medicine, 5 Zaifu-Cho, Hirosaki, Aomori, 036-8562, Japan. nogusato1110@hirosaki-u.ac.jp.ORCID http://orcid.org/0000-0002-9865-4234
Junichi SaitoDepartment of Anesthesiology, Hirosaki University Graduate School of Medicine, 5 Zaifu-Cho, Hirosaki, Aomori, 036-8562, Japan.
Eiji HashibaDepartment of Anesthesiology, Hirosaki University Graduate School of Medicine, 5 Zaifu-Cho, Hirosaki, Aomori, 036-8562, Japan.
Kazuyoshi HirotaDepartment of Anesthesiology, Hirosaki University Graduate School of Medicine, 5 Zaifu-Cho, Hirosaki, Aomori, 036-8562, Japan.
Hirosaki University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough there are reports of recovery of cardiac function after renal transplantation, the feasibility of renal transplantation in patients with low cardiac function remains controversial. CASE PRESENTATION: A 59-year-old Japanese male was scheduled to undergo living-donor renal transplantation (LDRT) under general anesthesia. Preoperative transthoracic echocardiography revealed severe mitral regurgitation (MR) and a left ventricular ejection fraction (LVEF) at 30%. LDRT was conducted prior to cardiac surgery with restrictive fluid management and close monitoring of cardiac function. The patient's renal function improved promptly after the LDRT, and his hemodynamics were stable throughout the perioperative period. Along with improvements in the patient's renal function and anemia, the patient's cardiac function improved to LVEF 50% and achieved drastically improved MR as well as cardiac function, without intervention.

conclusionThis case indicates that LDRT has the potential to improve cardiac function in patients who have been on hemodialysis for more than 20 years.

Indexed as

Long-term hemodialysisMitral regurgitationRenal transplantation

Identifiers

PMID36484929
PMCPMC9733743
OpenAlexW4311203586

What OpenQuestion holds

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LicenceCC BY
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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.