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Record W4405031953 · doi:10.1001/jamaoto.2024.3303

Neoadjuvant Chemotherapy and Transoral Robotic Surgery for Human Papillomavirus–Related Oropharyngeal Cancer

2024· article· en· W4405031953 on OpenAlexaff
Nader Sadeghi, Thavakumar Subramaniam, Keith Richardson, Marco A. Mascarella, Anthony Zeitouni, George Shenouda, Khalil Sultanem, Alex Mlynarek, Derin Çağlar, Khashayar Esfahani, Arjun S. Joshi, Robert D. Siegel, Joseph Goodman, Punam Thakkar, Esther Lee, Nahid Golabi, Agnihotram V. Ramanakumar, Michael P. Hier, Nathaniel Bouganim

Bibliographic record

VenueJAMA Otolaryngology–Head & Neck Surgery · 2024
Typearticle
Languageen
FieldMedicine
TopicHead and Neck Cancer Studies
Canadian institutionsJewish General HospitalMcGill UniversityMcGill University Health Centre
Fundersnot available
KeywordsMedicineOncologyTransoral robotic surgeryRadiation therapyInternal medicineNeck dissectionDocetaxelProportional hazards modelHead and neck cancerCancerStage (stratigraphy)ChemotherapyRetrospective cohort studyCohortSurgery

Abstract

fetched live from OpenAlex

Importance: Distant metastasis (DM) remains the leading cause of death in patients treated for human papillomavirus (HPV)-related oropharyngeal squamous cell carcinoma (OPSCC). An effective treatment strategy needs to address DM while reducing treatment-related toxic effects. Objective: To assess DM-free survival in patients with HPV-OPSCC treated with neoadjuvant chemotherapy followed by transoral robotic surgery (NECTORS) and neck dissection compared with standard of care, concurrent chemoradiation (CCRT). Design, Setting, and Participants: This multicenter retrospective cohort study compares prospective data from the NECTORS treatment group with a historical cohort of patients treated with CCRT. Patients with American Joint Committee on Cancer seventh edition stage III and IVa HPV-OPSCC treated with NECTORS and CCRT between February 2010 and September 2021 were included. Data were analyzed in September 2024. Exposures: Patients in the NECTORS arm were treated with 3 cycles of neoadjuvant docetaxel and cisplatin followed by TORS and neck dissection. Patients in the radiation therapy arm were treated with concurrent high-dose cisplatin and radiotherapy. Main Outcomes and Measures: DM-free survival was analyzed with Kaplan-Meier and Cox regression after adjusting for age, sex, tobacco and alcohol use, site, and cancer stage. Results: Of 342 included patients, 282 (82.5%) were male, and the mean (SD) age was 61.4 (9.4) years. A total of 232 patients were treated with CCRT and 110 patients were treated with NECTORS. Within the CCRT arm, 11 patients (4.7%) had locoregional recurrence (LRR), 5 (2.2%) had LRR and DM, and 28 (12.1%) developed distant-only metastasis. For patients treated with NECTORS, 5 (4.5%) developed LRR, 1 (0.9%) developed LRR plus DM, and no patients developed distant-only metastasis. With pseudorandomization matching for T and N stages, 209 patients were matched between the 2 treatment groups for further analysis (105 in the CCRT treatment arm and 104 in the NECTORS arm). The median (range) follow-up period for the CCRT and NECTORS groups were 5.8 (3.8-7.5) years and 5.1 (4.0-5.9) years, respectively. The hazard ratio of developing distant recurrence in the CCRT group was 10.77 (95% CI, 1.40-82.90) in univariate analysis and 9.98 (95% CI, 1.29-77.29) in multivariable analysis. In Kaplan-Meier survival analysis, the risk of developing DM was higher in the CCRT group. The hazard ratio for failure anywhere in the CCRT group was 3.32 (95% CI, 1.23-8.97) in univariate analysis and 3.21 (95% CI, 1.18-8.72) in multivariable analysis. Conclusions and Relevance: In this study, neoadjuvant chemotherapy followed by transoral robotic surgery and neck dissection was an effective treatment option for patients with stage III and IVa HPV-OPSCC. Findings from our study suggest lower rates of DM with NECTORS worthy of further investigation in prospective randomized trials.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.037
GPT teacher head0.323
Teacher spread0.287 · 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

Citations11
Published2024
Admission routes1
Has abstractyes

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