Evidence map›Paper›PMID 33293977›Full record

ArticleJournal of contemporary brachytherapy2020

Application of transrectal ultrasound in guiding interstitial brachytherapy for advanced cervical cancer.

Yuanqiang Lin, Dan Shi, Hequn Li, Guanghui Cheng, Hui Wang

Open access · goldAbstract read
In one paragraph

Article in Journal of contemporary brachytherapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-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

6 citing papers in PubMed, 6 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Yuanqiang LinDepartment of Ultrasound, China-Japan Union Hospital, Jilin University, Changchun, China.
Dan ShiDepartment of Radiotherapy, China-Japan Union Hospital, Jilin University, Changchun, China.
Hequn LiDepartment of Ultrasound, China-Japan Union Hospital, Jilin University, Changchun, China.
Guanghui ChengDepartment of Radiotherapy, China-Japan Union Hospital, Jilin University, Changchun, China.
Hui WangDepartment of Ultrasound, China-Japan Union Hospital, Jilin University, Changchun, China.
Jilin University · CNUnion Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo investigate the role of transrectal ultrasound guidance in interstitial brachytherapy for cervical cancer. MATERIAL AND

methodsForty-eight patients who underwent interstitial brachytherapy treatment for cervical cancer between January 2017 and January 2018 were enrolled in the study. The distances between each inserted needle and the lesion were measured at seven sites by ultrasound (D1-D7) and compared to the corresponding distances (M1-M7) when visualised with nuclear magnetic resonance imaging (MRI). Measurements were paired on the basis of the observation sites, e.g. D1 and M1, D2 and M2. The statistical differences, intraclass correlation coefficients (ICCs), and linear relationships for the paired measurements were calculated.

resultsNo significant differences were found between the paired M and D measurements, with all ICCs showing high levels of concordance (0.81-0.93).

conclusionsTransrectal ultrasound showed strong agreement with MRI results in determining the position of the inserted needles. Transrectal ultrasound is a useful tool for guided interstitial brachytherapy and is appropriate for widespread use in the treatment of locally advanced cervical cancer.

Indexed as

brachytherapycervical cancertransrectal ultrasoundultrasound guidance

Identifiers

PMID33293977
PMCPMC7690229
OpenAlexW3087402147

What OpenQuestion holds

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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.