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Abstract PO-056: The effect of timing of post-operative radiation on outcomes in anaplastic thyroid cancer

2023· article· en· W4386784819 on OpenAlexaboutno aff
Andrew B. Bonner, Herbert Chen, Sharon A. Spencer, Christopher D. Willey, Adam J. Kole

Bibliographic record

VenueClinical Cancer Research · 2023
Typearticle
Languageen
FieldMedicine
TopicThyroid Cancer Diagnosis and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineRadiation therapyCancerSurgeryRegimenStage (stratigraphy)Thyroid cancerThyroidectomyAnaplastic thyroid cancerThyroidInternal medicine

Abstract

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Abstract Introduction: Anaplastic thyroid cancer is an aggressive malignancy for which prompt treatment is necessary. Surgical resection is the recommended initial treatment for resectable cases and most patients require postoperative radiation therapy (RT). NCCN Guidelines state that adjuvant radiation should ideally begin 2-3 weeks postoperatively, however, limited evidence exists to support this guideline. Herein, we examine the National Cancer Database (NCDB) to assess whether the time interval between surgery and RT start impacts overall survival (OS). Methods: An NCDB data file was obtained and condensed to only include stage IV A/B anaplastic thyroid cancer cases during the years 2004 to 2018. Patients were selected based on histologic features of tumors, grade and stage of tumors, whether patients received surgery followed by radiation, whether their radiation treatment commenced at least 14 days after their surgery, and whether the RT total dose was between 4500 to 7680 cGy. The surgery to RT start interval (SRI) was calculated for all patients. Kaplan Meier survival curves for OS were evaluated based on the following ten groups of SRI intervals: 14-19 days, 20-23 days, 24-27 days, 28-31 days, 32-34 days, 35-37 days, 38-42 days, 43-49 days, 50-62 days, and greater than 62 days. Each of these groups of patients contained equal numbers of patients. Univariate comparisons were conducted followed by multivariate Cox regression, which included the following covariate variables: presence or absence of chemotherapy regimen in treatment plan, total thyroidectomy or alternate surgery, total dose of radiation, post-surgery margin status, Charlson-Deyo comorbidity score, tumor stage, age, and sex. Subsequently, hazard ratios for survival were calculated for ten SRI’s with equal numbers of patients based on the Cox regression. Results: The analysis included 444 patients after exclusions that were made as above. The mean age was 66 years old. The most common surgery was a total thyroidectomy (294 patients; 66.2% of patients). There were 353 (79.5%) patients who received chemotherapy with radiation. The median SRI was 34.0 days. The cohort of patients included 246 female patients (55.4%). Kaplan Meier analyses revealed that patients who received radiation between 14-19 days of surgery had a significantly reduced survival compared to most of the other SRI groups. On both univariate and multivariate analysis, there was a trend that indicated increased survival amongst patients in the 38-42 days SRI group as this group in both analyses had the lowest hazard ratios for death (Univariate HR: 0.491 (p=0.004); Multivariate HR: 0.518 (p=0.010)) of any SRI group when the 14-19 day SRI group served as the reference category. Discussion: Within the limitations of our retrospective study, it appears that delayed start of adjuvant radiation beyond NCCN recommendations is not necessarily detrimental to OS. Further prospective analyses may be necessary to identify the ideal timing of adjuvant radiation therapy. Citation Format: Andrew B. Bonner, Herbert Chen, Sharon A. Spencer, Christopher D. Willey, Adam J. Kole. The effect of timing of post-operative radiation on outcomes in anaplastic thyroid cancer [abstract]. In: Proceedings of the AACR-AHNS Head and Neck Cancer Conference: Innovating through Basic, Clinical, and Translational Research; 2023 Jul 7-8; Montreal, QC, Canada. Philadelphia (PA): AACR; Clin Cancer Res 2023;29(18_Suppl):Abstract nr PO-056.

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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)0.002
metaresearch head score (Gemma)0.008
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 score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.165
GPT teacher head0.551
Teacher spread0.386 · 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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