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Record W4389728629 · doi:10.1001/jamaoto.2023.3952

Oncologic Safety of Close Margins in Patients With Low- to Intermediate-Grade Major Salivary Gland Carcinoma

2023· article· en· W4389728629 on OpenAlexaff
Mirabelle Sajisevi, Kenny Nguyen, Peter Callas, Andrew J. Holcomb, Emre Vural, Kyle P. Davis, Carissa M. Thomas, Karolina A. Plonowska‐Hirschfeld, John S. Stein, Antoine Eskander, Kiran Kakarala, Danny Enepekides, Michael P. Hier, William R. Ryan, Ameya A. Asarkar, Ricardo Aulet, Rebecca K. Bell, Michael A. Blasco, Vanessa B. Bowmaster, Clayton P. Burruss, Jeffson Chung, Kimberly Chan, Brent A. Chang, Charles S. Coffey, David M. Cognetti, Dylan J. Cooper, Joehassin Cordero, John Donovan, Yue Du, Yusuf Dündar, Rogério Aparecido Dedivitis, Heather Edwards, Boban M. Erović, Philip A. Feinberg, Emily A. Garvey, David P. Goldstein, Joseph Goodman, Rafael Nunes Goulart, Neerav Goyal, Stefan Grasl, Jonathan P. Giurintano, Nikita Gupta, Andy M. Habib, Trevor Hackman, Jared H. Hara, Christina Henson, Michael L. Hinni, Nadia Hua, Stephanie Johnson‐Obaseki, Aditya Juloori, Noah S. Kalman, Alexandra E. Kejner, Sobia F. Khaja, Jamie A. Ku, Arnaud Lambert, Bao K. Luu, Kelly R. Magliocca, Luiz Roberto Medina dos Santos, C. A. Michael, Brett A. Miles, Giulianno Molina de Melo, Michael G. Moore, Grégoire B. Morand, Kauê Moura, Laith Mukdad, Hesameddin Noroozi, Rusha Patel, Joseph A. Paydarfar, Nader Sadeghi, Fabrice N. Savaria, Nicole C. Schmitt, Justin Shapiro, Timothy B. Shaver, Sandro J. Stoeckli, Maie A. St. John, William A. Stokes, Anita Sulibhavi, Jason Tasoulas, Varun Vendra, Daniel Vinh, Celina G. Virgen, Christian Wooten, N.M. Woody, Geoffrey D. Young

Bibliographic record

VenueJAMA Otolaryngology–Head & Neck Surgery · 2023
Typearticle
Languageen
FieldMedicine
TopicSalivary Gland Tumors Diagnosis and Treatment
Canadian institutionsWestern UniversityMcGill UniversityHealth Sciences CentreUniversity of TorontoToronto East General HospitalUniversity of OttawaJewish General HospitalSunnybrook Health Science Centre
Fundersnot available
KeywordsSalivary glandMedicineCarcinomaOncologyInternal medicine

Abstract

fetched live from OpenAlex

Importance: Postoperative radiation therapy for close surgical margins in low- to intermediate-grade salivary carcinomas lacks multi-institutional supportive evidence. Objective: To evaluate the oncologic outcomes for low- and intermediate-grade salivary carcinomas with close and positive margins. Design, Setting, and Participants: The American Head and Neck Society Salivary Gland Section conducted a retrospective cohort study from 2010 to 2019 at 41 centers. Margins were classified as R0 (negative), R1 (microscopically positive), or R2 (macroscopically positive). R0 margins were subclassified into clear (>1 mm) or close (≤1 mm). Data analysis was performed from June to October 2023. Main Outcomes and Measures: Main outcomes were risk factors for local recurrence. Results: A total of 865 patients (median [IQR] age at surgery, 56 [43-66] years; 553 female individuals [64%] and 312 male individuals [36%]) were included. Of these, 801 (93%) had parotid carcinoma and 64 (7%) had submandibular gland carcinoma, and 748 (86%) had low-grade tumors and 117 (14%) had intermediate-grade tumors, with the following surgical margins: R0 in 673 (78%), R1 in 168 (19%), and R2 in 24 (3%). Close margins were found in 395 of 499 patients with R0 margins (79%), for whom margin distances were measured. A total of 305 patients (35%) underwent postoperative radiation therapy. Of all 865 patients, 35 (4%) had local recurrence with a median (IQR) follow-up of 35.3 (13.9-59.1) months. In patients with close margins as the sole risk factor for recurrence, the local recurrence rates were similar between those who underwent postoperative radiation therapy (0 of 46) or observation (4 of 165 [2%]). Patients with clear margins (n = 104) had no recurrences. The local recurrence rate in patients with R1 or R2 margins was better in those irradiated (2 of 128 [2%]) compared to observed (13 of 64 [20%]) (hazard ratio [HR], 0.05; 95% CI, 0.01-0.24). Multivariable analysis for local recurrence found the following independent factors: age at diagnosis (HR for a 10-year increase in age, 1.33; 95% CI, 1.06-1.67), R1 vs R0 (HR, 5.21; 95% CI, 2.58-10.54), lymphovascular invasion (HR, 4.47; 95% CI, 1.43-13.99), and postoperative radiation therapy (HR, 0.10; 95% CI, 0.04-0.29). The 3-year local recurrence-free survivals for the study population were 96% vs 97% in the close margin group. Conclusions and Relevance: In this cohort study of patients with low- and intermediate-grade major salivary gland carcinoma, postoperative radiation therapy for positive margins was associated with decreased risk of local recurrence. In isolation from other risk factors for local recurrence, select patients with close surgical margins (≤1 mm) may safely be considered for observation.

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)0.001
metaresearch head score (Gemma)0.004
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 score0.001
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
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)0.0010.000

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 head0.014
GPT teacher head0.255
Teacher spread0.241 · 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".

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Citations13
Published2023
Admission routes1
Has abstractyes

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