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Patient-reported outcomes during pelvic radiation therapy: A secondary analysis on sexual function from NRG-RTOG 1203.

2023· article· en· W4379282232 on OpenAlexaff
Kelsey L. Corrigan, Rebecca Paulus, Ann H. Klopp, Lari Wenzel, Anamaria R. Yeung, J. S. Thompson, Desiree E. Doncals, Vijayananda Kundapur, Nancy Wiggers, Dasarahally S. Mohan, Sharad Ghamande, Shannon N. Westin, Kara Schnarr, Michael L. Haas, David K. Gaffney, Steven Waggoner, Pamela Vanderwall, Noha Jastaniyah, Stephanie L. Pugh, Lisa A. Kachnic

Bibliographic record

VenueJournal of Clinical Oncology · 2023
Typearticle
Languageen
FieldMedicine
TopicEndometrial and Cervical Cancer Treatments
Canadian institutionsMcMaster UniversityJuravinski Cancer CentreSaskatchewan Cancer Agency
FundersNational Institutes of Health
KeywordsMedicineRadiation therapyClinical endpointCervical cancerSexual functionInternal medicineLogistic regressionRepeated measures designClinical trialOncologyCancer

Abstract

fetched live from OpenAlex

5533 Background: NRG-RTOG 1203 reported that intensity-modulated radiation therapy (IMRT) reduced patient-reported GI and GU toxicities in cervical/endometrial cancer patients receiving adjuvant RT, as compared to standard whole field pelvic RT (WPRT). We conducted a secondary analysis of patient-reported sexual function (PR-SF) to compare this endpoint among treatment groups and identify factors associated with sexual dysfunction. Methods: Patients on NRG-RTOG 1203 were randomly assigned to WPRT vs. IMRT and completed the PRO-CTCAE for GI toxicity and the cervical cancer FACT-Cx at baseline, week 5 of RT, and at 4-6 weeks, 1-year, and 3-years post-RT. Patient responses to FACT-Cx sexual function questions were analyzed. The between arm frequency and severity of responses were tested using chi-square. PR-SF was compared with PRO-CTCAE GI toxicity using chi-square. A repeated measures logistic regression model was used to determine the impact of clinical/treatment factors on sexual function by dichotomizing the responses. Results: Of the 279 patients included for primary analysis, 236 (85%) completed PR-SF questions; 125 (53%) in the WPRT arm and 111 (47%) IMRT. There were no significant differences in PR-SF between treatment groups (p>0.05). PR-SF improved for both groups post-RT, except responses to “my vagina feels too narrow or short” worsened (Table). Women without abdominal pain interference at 4-6 weeks post-RT were less likely to fear sex (74.2% vs. 25.8%, P=0.03) and more likely to like their body appearance at 1 year (95.7% vs. 4.3%, P<0.01) compared to women with interference. Women liked the appearance of their body less during RT vs. at baseline (OR 1.95, 95% CI 1.04-3.64, P=0.04). Women were less interested in sex during RT in both arms (WPRT: OR 3.61, 95% CI 1.40-9.34; IMRT: OR 3.96, 95% CI 1.02-15.34) and at 4-6 weeks post-RT for IMRT (OR 3.16, 95% CI 1.14-8.72) vs. at baseline. Conclusions: PR-SF was similar between treatment groups. PR-SF during and post-RT was not significantly reduced compared to baseline with the exception of patients with abdominal pain interference, who had significantly worse PR-SF at 4-6 weeks and 1-year post-RT. Clinical trial information: NCT01672892 . [Table: see text]

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.110
GPT teacher head0.437
Teacher spread0.328 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2023
Admission routes1
Has abstractyes

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