Evidence map›Paper›PMID 30479616›Full record

ArticleJournal of contemporary brachytherapy2018

Predicting pubic arch interference in permanent prostate brachytherapy based on the specific parameters derived from nuclear magnetic resonance imaging.

Yupeng Zheng, Jixiang Wu, Shan Chen, Yuexin Liu, Guangyin Zhang

Open access · goldAbstract read
In one paragraph

Article in Journal of contemporary brachytherapy, 2018. 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
0.5field-weighted citation impact, top 31% 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, 4 citations in OpenAlex.

  1. Article
  2. Steering a Tendon-Driven Needle in High-Dose-Rate Prostate Brachytherapy for Patients with Pubic Arch Interference.... International Symposium on Medical Robotics. International Symposium on Medical Robotics · 2021
    Article
  3. 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

5 authors at 2 institutions in 1 country.

Yupeng ZhengDepartment of Urology, Capital Medical University affiliated Beijing Tongren Hospital No 1, Dong Jiao Min Xiang, Dongcheng District, Beijing, China.
Jixiang WuDepartment of Urology, Capital Medical University affiliated Beijing Tongren Hospital No 1, Dong Jiao Min Xiang, Dongcheng District, Beijing, China.
Shan ChenDepartment of Urology, Capital Medical University affiliated Beijing Tongren Hospital No 1, Dong Jiao Min Xiang, Dongcheng District, Beijing, China.
Yuexin LiuDepartment of Urology, Capital Medical University affiliated Beijing Tongren Hospital No 1, Dong Jiao Min Xiang, Dongcheng District, Beijing, China.
Guangyin ZhangDepartment of Urology, Capital Medical University affiliated Beijing Tongren Hospital No 1, Dong Jiao Min Xiang, Dongcheng District, Beijing, China.
Capital Medical University · CNBeijing Tongren Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe aim of this study was to establish a more reliable method to predict pubic arch interference (PAI) before permanent prostate brachytherapy. MATERIAL AND

methodsWe retrospectively analyzed the nuclear magnetic resonance imaging (MRI) results of forty patients with prostate cancer, who were treated with permanent implantation of

resultsThe results of this study demonstrated that AoPAI, hPAI, hPAI

conclusionsThis new method derived from MRI has predictive value, as AoPAI, hPAI, hPAI

Indexed as

brachytherapynuclear magnetic resonance imaging (MRI)prostate cancerpubic arch interference (PAI)seed implantation

Identifiers

PMID30479616
PMCPMC6251442
OpenAlexW2901274706

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.