Evidence map›Paper›PMID 37835556›Full record

ArticleCancers2023

Effects of Interfraction Dose Variations of Target and Organs at Risk on Clinical Outcomes in High Dose Rate Brachytherapy for Cervical Cancer.

Brien Washington, Dennis Cheek, Denise Fabian, Mahesh Kudrimoti, Damodar Pokhrel, Chi Wang, Cameron Thayer-Freeman, Wei Luo

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 81% 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

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. 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

8 authors at 1 institution in 1 country.

Brien WashingtonDepartment of Radiation Medicine, University of Kentucky, 800 Rose Street, Lexington, KY 40536, USA.
Dennis CheekDepartment of Radiation Medicine, University of Kentucky, 800 Rose Street, Lexington, KY 40536, USA.
Denise FabianDepartment of Radiation Medicine, University of Kentucky, 800 Rose Street, Lexington, KY 40536, USA.
Mahesh KudrimotiDepartment of Radiation Medicine, University of Kentucky, 800 Rose Street, Lexington, KY 40536, USA.
Damodar PokhrelDepartment of Radiation Medicine, University of Kentucky, 800 Rose Street, Lexington, KY 40536, USA.
Chi WangDepartment of Internal Medicine, University of Kentucky, 800 Rose Street, Lexington, KY 40536, USA.
Cameron Thayer-FreemanDepartment of Radiation Medicine, University of Kentucky, 800 Rose Street, Lexington, KY 40536, USA.
Wei LuoDepartment of Radiation Medicine, University of Kentucky, 800 Rose Street, Lexington, KY 40536, USA.
University of Kentucky · US

Funding

University of Kentucky Markey Cancer Center Support Grant ECIA SupplementP30CA177558 · NCI · UNIVERSITY OF KENTUCKY · PI KATHLEEN L. O'CONNOR · 2013 to 2026
$38.3M
NCI NIH HHS P30 CA177558
6 · The paper itself

Abstract

Meeting dose prescription is critical to control tumors in radiation therapy. Interfraction dose variations (IDVs) from the prescribed dose in high dose rate brachytherapy (HDR) would cause the target dose to deviate from the prescription but their clinical effect has not been widely discussed in the literature. Our previous study found that IDVs followed a left-skewed distribution. The clinical effect of the IDVs in 100 cervical cancer HDR patients will be addressed in this paper. An in-house Monte Carlo (MC) program was used to simulate clinical outcomes by convolving published tumor dose response curves with IDV distributions. The optimal dose and probability of risk-free local control (RFLC) were calculated using the utility model. The IDVs were well-fitted by the left-skewed Beta distribution, which caused a 3.99% decrease in local control probability and a 1.80% increase in treatment failure. Utility with respect to IDV uncertainty increased the RFLC probability by 6.70% and predicted an optimal dose range of 83 Gy-91 Gy EQD2. It was also found that a 10 Gy dose escalation would not affect toxicity. In conclusion, HRCTV IDV uncertainty reduced LC probabilities and increased treatment failure rates. A dose escalation may help mitigate such effects.

Indexed as

beta distributioncervical cancerdose response modeldose variationhigh dose rate brachytherapyutility

Identifiers

PMID37835556
PMCPMC10571581
OpenAlexW4387376736

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.