Evidence map›Paper›PMID 37722724›Full record

ArticleUltrasonography (Seoul, Korea)2023

Contrast-enhanced ultrasonography-based renal blood perfusion in brain-dead donors predicts early graft function.

Weiming He, Yuguang Xu, Chaoyang Gong, Xiaozhen Liu, Yuqiang Wu, Xi Xie, Jiazhen Chen, Yi Yu, Zhiyong Guo, Qiang Sun

Open access · diamondAbstract read
In one paragraph

Article in Ultrasonography (Seoul, Korea), 2023. 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
0.9field-weighted citation impact, top 26% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  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

10 authors at 1 institution in 1 country.

Weiming HeOrgan Transplant Center, Zhongshan Hospital of Sun Yat-sen University, Zhongshan City People's Hospital, Zhongshan, China.
Yuguang XuUltrasound Imaging Department, Zhongshan Hospital of Sun Yat-sen University, Zhongshan City People's Hospital, Zhongshan, China.
Chaoyang GongOrgan Transplant Center, Zhongshan Hospital of Sun Yat-sen University, Zhongshan City People's Hospital, Zhongshan, China.
Xiaozhen LiuUltrasound Imaging Department, Zhongshan Hospital of Sun Yat-sen University, Zhongshan City People's Hospital, Zhongshan, China.
Yuqiang WuOrgan Transplant Center, Zhongshan Hospital of Sun Yat-sen University, Zhongshan City People's Hospital, Zhongshan, China.
Xi XieOrgan Transplant Center, Zhongshan Hospital of Sun Yat-sen University, Zhongshan City People's Hospital, Zhongshan, China.
Jiazhen ChenOrgan Transplant Center, Zhongshan Hospital of Sun Yat-sen University, Zhongshan City People's Hospital, Zhongshan, China.
Yi YuOrgan Transplant Center, Zhongshan Hospital of Sun Yat-sen University, Zhongshan City People's Hospital, Zhongshan, China.
Zhiyong GuoOrgan Transplant Center, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Qiang SunOrgan Transplant Center, Zhongshan Hospital of Sun Yat-sen University, Zhongshan City People's Hospital, Zhongshan, China.
Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe aim of this study was to quantify renal microcirculatory perfusion in braindead donors using contrast-enhanced ultrasonography (CEUS), and to establish an accurate, noninvasive, and convenient index for predicting delayed graft function (DGF) post-transplantation.

methodsIn total, 90 brain-dead donor kidneys (training group, n=60; validation group, n=30) examined between August 2020 and November 2022 were recruited in this prospective study. CEUS was performed on the kidneys of brain-dead donors 24 hours before organ procurement and time-intensity curves were constructed. The main measures were arrival time, time to peak, and peak intensity of the kidney segmental arteries, cortex, and medulla. Recipients were divided into DGF and non-DGF groups according to early post-transplant graft function. The area under the receiver operating characteristic curve (AUC) was used to assess diagnostic performance.

resultsThe arrival time of the kidney segmental artery and cortex and the time interval between the time to peak of the segmental artery and cortex were identified as independent factors associated with DGF by multivariate stepwise regression analysis. A new index for the joint prediction model of three variables, the contrast-enhanced ultrasonography/Kidney Donor Profile index (CEUS-KDPI), was developed. CEUS-KDPI showed high accuracy for predicting DGF (training group: AUC, 0.91; sensitivity, 90.5%; specificity, 92.3%; validation group: AUC, 0.84; sensitivity, 75.0%; specificity, 92.3%).

conclusionCEUS-KDPI accurately predicted DGF after kidney transplantation. CEUS may be a potential noninvasive tool for bedside examinations before organ procurement and may be used to predict early renal function after kidney transplants kidneys from donors after brain death.

Indexed as

Brain-dead donorsContrast-enhanced ultrasonographyDelayed graft functionDonor evaluationKidney transplantation

Identifiers

PMID37722724
PMCPMC10555683
OpenAlexW4366576643

What OpenQuestion holds

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LicenceCC BY-NC
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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.