MétaCan
Menu
Back to cohort
Record W4410830616 · doi:10.1177/19160216251336687

Role of Publicly-Funded Molecular Testing in Surgical Management of Thyroid Nodules within Canadian Medicare: Clinical Assessment of ThyroSeqv3 Molecular Test Pilot Project at McGill University

2025· article· en· W4410830616 on OpenAlexaffabout
Saruchi Bandargal, Jessica Hier, Mawaddah Abdulhaleem, Véronique‐Isabelle Forest, Maryse Brassard, Geneviève Rondeau, Orr Dimitstein, Marco A. Mascarella, Alex Mlynarek, Michael P. Hier, Keith Richardson, Nader Sadeghi, Karen Kost, Anthony Zeitouni, Marc Pusztaszeri, Pierre H. Fortier, Danielle Beaudoin, Marie-Hélène Massicotte, Andrée Boucher, Richard J. Payne

Bibliographic record

VenueJournal of Otolaryngology - Head and Neck Surgery · 2025
Typearticle
Languageen
FieldMedicine
TopicThyroid Cancer Diagnosis and Treatment
Canadian institutionsUniversité de SherbrookeCentre hospitalier universitaire de QuébecUniversité LavalRoyal Victoria HospitalJewish General HospitalCentre Hospitalier de l’Université de MontréalMcGill University
Fundersnot available
KeywordsMedicineThyroid nodulesMalignancyThyroid cancerThyroidBethesda systemNodule (geology)General surgeryHealth carePathologyInternal medicine

Abstract

fetched live from OpenAlex

Importance Recently, the Québec public health care system established a pilot project to cover costs of molecular testing for select patients with cytologically-indeterminate thyroid nodules. Objective This study aimed to evaluate the clinical utility of the ThyroSeqv3 molecular test pilot project at McGill University in surgical management of thyroid nodules within Canada’s single-payer health care system. Design Multicenter cohort study, in liaison with the Québec Health Ministry. Setting Jewish General Hospital and Royal Victoria Hospital in Montreal, Canada. Participants Patients with a Bethesda III or IV and TIRADS 3 or 4 thyroid nodule measuring between 1 and 4 cm in size on ultrasound were analyzed across pre- and post-pilot project phases. Intervention The pre-pilot project surgical control group included patients who underwent surgical intervention, excluding those who opted for out-of-pocket molecular testing. The post-pilot project surgical exposure group encompassed participants in the pilot project, undergoing publicly-funded ThyroSeqv3 molecular testing and subsequent surgical intervention. Main Outcome Measures Surgical malignancy/noninvasive follicular thyroid neoplasm with papillary-like nuclear features (NIFTP) rate. Results A total of 314 patients qualified for the pilot project, with 207 (65.9%) having Bethesda III nodules and 107 (34.1%) having Bethesda IV nodules. Molecular testing yielded a result of negative in 238 (75.8%) cases and positive in 76 (24.2%) cases. Histopathology reports of positive patients who opted for surgery revealed a surgical malignancy/NIFTP rate of 73.1%. The surgical malignancy/NIFTP rate at our institution prior to the implementation of the pilot project for patients adhering to the inclusion criteria was statistically significantly lower at 47.9% ( P = .0025). Conclusions The ThyroSeqv3 molecular test pilot project has improved upon physicians’ traditional clinical practice by enabling a wider patient population to access this otherwise costly technology. It not only curtailed futile diagnostic hemithyroidectomies but also led to a more discerning allocation of surgeries, as corroborated by an increased surgical malignancy/NIFTP rate post-implementation. Relevance The results of our study suggest that publicly-funded molecular testing could contribute positively to the Canadian single-payer health care system by optimizing patient outcomes as well as fiscal policy.

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)0.003
metaresearch head score (Gemma)0.014
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 score0.986
Threshold uncertainty score0.620

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
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 head0.029
GPT teacher head0.313
Teacher spread0.284 · 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

Citations3
Published2025
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Otolaryngology - Head and Neck SurgerySame topicThyroid Cancer Diagnosis and TreatmentFrench-language works237,207