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Record W4404317445 · doi:10.1016/j.jss.2024.10.010

Adjuvant Radioactive Iodine Ablation in Tall Cell Subtype Papillary Thyroid Cancer: A Systematic Review and Meta-Analysis

2024· review· en· W4404317445 on OpenAlexaff
Phillip Staibano, Michael K. Gupta, F Alresaini, Michael Au, Keean Nanji, Emily Oulousian, M Senthilkumaran, Sarah Oulousian, Jesse D. Pasternak, Tyler McKechnie, Eric Monteiro, Alex Thabane, Han Zhang

Bibliographic record

VenueJournal of Surgical Research · 2024
Typereview
Languageen
FieldMedicine
TopicThyroid Cancer Diagnosis and Treatment
Canadian institutionsUniversity Health NetworkCégep de l'OutaouaisMount Sinai HospitalUniversité du Québec en OutaouaisUniversity of OttawaImpactMcGill UniversityMcMaster University
Fundersnot available
KeywordsRadioactive iodineMeta-analysisMedicineThyroid cancerPapillary thyroid cancerAdjuvantOncologyCancerAblationIodineThyroidInternal medicineNuclear medicineChemistry

Abstract

fetched live from OpenAlex

<h2>Abstract</h2><h3>Introduction</h3> Tall cell subtype papillary thyroid cancer (TCS-PTC) is associated with aggressive disease features and worse patient outcomes. It remains unclear whether adjuvant radioactive iodine (RAI) ablation following thyroidectomy is associated with improved survival in TCS-PTC. The purpose of this review and meta-analysis was to determine whether adjuvant RAI was associated with improved survival in patients with TCS-PTC. <h3>Methods</h3> We included any study design that investigated survival outcomes in adult patients diagnosed with TCS-PTC who underwent either thyroidectomy following by adjuvant RAI or thyroidectomy alone. We searched MEDLINE, EMBASE, Scopus, and CENTRAL databases from inception with no restrictions. All screening and review stages were performed in duplicate. Risk of bias was evaluated using ROBINS-I and certainty of evidence were evaluated using GRADE. Meta-analysis was performed using a random effects model and we calculated pooled hazard ratios (HRs), where applicable. All analyses were performed in RevMan 5.3 (Cochrane, UK). <h3>Results</h3> Seven nonrandomized studies were included with 9611 TCS-PTC patients, of which 6296 (65.5%) underwent adjuvant RAI. All studies were at high risk of bias. Based on low certainty evidence, we found that adjuvant RAI was possibly associated with improved overall survival in TCS-PTC (HR = 0.60, 95% confidence interval: 0.42-0.85). This benefit was maintained in studies that performed propensity score matching, but we did not find a significant association with tumor size. Sensitivity analysis to remove studies with potentially overlapping data changed the HR to 0.74 (95% CI: 0.46-1.19) with considerable heterogeneity (I<sup>2</sup> = 70%). Based on very low certainty evidence, we were uncertain where adjuvant RAI was associated with cancer-specific or recurrence-free survival. <h3>Conclusions</h3> Adjuvant RAI may be associated with improved overall survival in TCS-PTC, but future high-quality randomized studies with risk stratification are needed.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.745
Threshold uncertainty score0.910

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0110.004
Bibliometrics0.0020.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.206
GPT teacher head0.482
Teacher spread0.276 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

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

Citations2
Published2024
Admission routes1
Has abstractyes

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