Efficacy and Safety of Central Compartment Neck Dissection for Recurrent Thyroid Carcinoma
Bibliographic record
Abstract
OBJECTIVE: To explore the safety and efficacy of central compartment neck dissection (CCND) in the treatment of well-differentiated thyroid carcinoma (WDTC) recurrences in the central compartment of the neck. DESIGN: Retrospective medical chart review. SETTING: Tertiary-care academic hospital. PATIENTS: Eighty-two consecutively treated patients with recurrent WDTC, with a median follow-up of 28 months. MAIN OUTCOME MEASURES: Postoperative complications, disease control posttreatment, and normalization of serum thyroglobulin (Tg) level. RESULTS: Eighty-two patients underwent 86 central compartment procedures. Only CCND was performed in 36 patients (42%), while a lateral neck dissection was also required in the remainder. Postoperative hypoparathyroidism was temporary in 17 patients (20%) and permanent in 6 patients (7%). Postoperative intact serum parathyroid hormone level was greater than 15.0 pg/mL (to convert to nanograms per liter, multiply by 1.0) in 81% of patients, accurately predicting eucalcemia postoperatively. Unilateral recurrent laryngeal nerve injury was transient in 3 patients (2% of nerves at risk) and permanent in 3 patients (2%). Seventeen patients (21%) experienced subsequent recurrences after their CCND-2 patients (2%) had recurrence in the central neck, 8 (9%) in the lateral neck, 2 (2%) in the central and lateral neck, and 7 (8%) at distant sites. Twenty-seven patients underwent a CCND alone and were deemed appropriate for efficacy analysis. The Tg level was normalized in 15 patients (56%) in the group overall. Normalization occurred in 10 of the 20 patients (50%) who received sodium iodide I 131 ablation and in 5 of the 7 patients (71%) who did not. CONCLUSION: Central compartment neck dissection is a safe and efficacious procedure for the management of central neck recurrences in WDTC.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".