Evidence map›Paper›PMID 34805888›Full record

ArticleJournal of interventional medicine2019

Superselective transcatheter arterial embolization to control renal hemorrhage after partial nephrectomy for renal tumors: A report of 9 cases and a literature review.

Mengxuan Zuo, Hui Yuan, Shunling Ou, Jinhua Huang

Erratum issuedOpen access · diamondAbstract read
In one paragraph

Article in Journal of interventional medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 34% 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, 2 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Mengxuan ZuoDepartment of Minimal Invasive Intervention, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, PR China.
Hui YuanDepartment of Minimal Invasive Intervention, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, PR China.
Shunling OuDepartment of Minimal Invasive Intervention, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, PR China.
Jinhua HuangDepartment of Minimal Invasive Intervention, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, PR China.
State Key Laboratory of Oncology in South ChinaSun Yat-sen University Cancer Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to evaluate the efficacy and safety of selective arterial embolization for hemorrhage after renal surgery and to summarize the clinical experience. MATERIALS AND

methodsA total of 9 patients underwent arterial embolization after partial nephrectomy from 2010 to 2018.

resultsTechnical success was achieved in all patients; however, 3 patients underwent a secondary arterial embolization because of short-term re-hemorrhage or the co-occurrence of accessory renal arterial hemorrhage. No serious complications occurred during the follow-up.

conclusionsSuperselective arterial embolization is an effective and minimally invasive treatment for hemorrhage after partial nephrectomy. To improve the success rate of surgery, attention should be paid to the evaluation of accessory renal arteries and the management of suspected bleeding arteries.

Indexed as

Postoperative hemorrhageRenal tumorSelective arterial embolization

Identifiers

PMID34805888
PMCPMC8562230
OpenAlexW2972562837

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.