Evidence map›Paper›PMID 38774419›Full record

ArticleFrontiers in oncology2024

The prognostic effect of tumor volume, reduction ratio, and cumulative doses on external beam radiotherapy with central-shielding method and image-guided adaptive brachytherapy for cervical cancer.

Takeru Ohtaka, Ken Ando, Takahiro Oike, Shin-Ei Noda, Takuya Kaminuma, Kazutoshi Murata, Tatsuya Ohno

Abstract read
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Article in Frontiers in oncology, 2024. 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
–field-weighted citation impact
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

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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.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Takeru OhtakaDepartment of Radiation Oncology, Gunma University Graduate School of Medicine, Maebashi, Japan.
Ken AndoDepartment of Radiation Oncology, Gunma University Graduate School of Medicine, Maebashi, Japan.
Takahiro OikeDepartment of Radiation Oncology, Gunma University Graduate School of Medicine, Maebashi, Japan.
Shin-Ei NodaDepartment of Radiation Oncology, Saitama Medical University International Medical Center, Hidaka, Japan.
Takuya KaminumaDepartment of Radiation Therapy, NHO Shibukawa Medical Center, Shibukawa, Japan.
Kazutoshi MurataQST Hospital, National Institutes for Quantum and Radiological Science and Technology, Chiba, Japan.
Tatsuya OhnoDepartment of Radiation Oncology, Gunma University Graduate School of Medicine, Maebashi, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To evaluate the prognostic effect of tumor volume at diagnosis, tumor reduction ratio during external beam radiotherapy (EBRT) with central-shielding method, and cumulative minimal dose to 90% of the high-risk clinical target volume (CTV Methods: Consecutive patients who underwent definitive radiotherapy or concurrent chemoradiotherapy for cervical cancer at Gunma University Hospital between January 2010 and December 2019 were retrospectively reviewed. Tumor volume at diagnosis and reduction ratio were calculated using magnetic resonance imaging at diagnosis and before the first IGABT session. The cumulative dose of EBRT and IGABT was calculated as an equivalent dose in 2 Gy fractions (EQD2). Optimal cutoff values were determined according to a receiver operating characteristic curve. Treatment outcomes were evaluated using the Kaplan-Meier method and compared using the log-rank test and Cox proportional hazards regression. Results: A total of 254 patients were included in the analysis. The median follow-up for all patients was 57 (2-134) months. The 5-year overall survival (OS) was 81.9%, progression-free survival (PFS) was 71.3%, and local control (LC) was 94.5%. The patients were divided into four groups according to tumor volume at diagnosis and reduction ratio. The group with tumor volume at diagnosis ≥ 34.1 cm Conclusion: The patients with large and poorly responding tumors had significantly worse prognoses in terms of OS, PFS, and LC, suggesting that dose escalation should be considered for such tumors.

Indexed as

brachytherapycervical cancercumulative dosesprognosisradiotherapyreduction ratiotumor volume

Identifiers

PMID38774419
PMCPMC11106361

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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.