Evidence map›Paper›PMID 37799123›Full record

ArticleJournal of contemporary brachytherapy2023

Dosimetric comparison of rectal dose-reductive techniques in intra-cavitary brachytherapy for cervical cancer: A retrospective analysis.

Masafumi Sawada, Yutaka Shiraishi, Hirofumi Toyama, Tomoki Tanaka, Ryuichi Kota, Naoyuki Shigematsu

Open access · goldAbstract read
In one paragraph

Article in Journal of contemporary brachytherapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

4 citing papers in PubMed, 2 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

6 authors at 1 institution in 1 country.

Masafumi SawadaDepartment of Radiology, Keio University School of Medicine, Shinjuku-ku, Tokyo, Japan.
Yutaka ShiraishiDepartment of Radiology, Keio University School of Medicine, Shinjuku-ku, Tokyo, Japan.
Hirofumi ToyamaDepartment of Radiology, Keio University School of Medicine, Shinjuku-ku, Tokyo, Japan.
Tomoki TanakaDepartment of Radiology, Keio University School of Medicine, Shinjuku-ku, Tokyo, Japan.
Ryuichi KotaDepartment of Radiology, Keio University School of Medicine, Shinjuku-ku, Tokyo, Japan.
Naoyuki ShigematsuDepartment of Radiology, Keio University School of Medicine, Shinjuku-ku, Tokyo, Japan.
Keio University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Rectal complications in radiotherapy for cervical cancer can highly affect quality of life and correlate with rectal dose. Vaginal gauze packing (VP) and rectal retraction (RR) are widely used for rectal dose reduction in high-dose-rate brachytherapy. We aimed to perform a dosimetric comparison of these two methods for three-dimensional image-guided adaptive brachytherapy. Material and methods: We retrospectively examined 50 patients with cervical cancer treated with definitive radiotherapy, including intra-cavitary brachytherapy, performed with VP and RR. We extracted two fractions for each patient: one fraction with VP and the next fraction with RR, and then compared dose-volume parameters. In total, 50 fractions each were analyzed in VP and RR groups. Dose to 90% (D Results: There were no significant differences between VP and RR in D Conclusions: VP reduced the dose to the rectum and bladder when compared with RR without impairing the dose to CTV.

Indexed as

high-dose-rate intra-cavitary brachytherapyrectal doserectal retractoruterine cervical cancervaginal gauze packing

Identifiers

PMID37799123
PMCPMC10548429
OpenAlexW4386350617

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.