Completion Thyroidectomy Versus Total Thyroidectomy: Is There a Difference in Complication Rates? An Analysis of 350 Patients
Bibliographic record
Abstract
BACKGROUND: This study compared our experience with completion thyroidectomy (CT) and total thyroidectomy (TT) in the management of well-differentiated thyroid cancer (WDTC). We compared complication rates and analyzed the implications of the intraoperative management of the parathyroid glands. STUDY DESIGN: We performed a retrospective cohort study comparing outcomes between patients undergoing CT and TT between January 1994 and December 2004. All patients had surgery for either suspected or confirmed WDTC on fine-needle aspiration. RESULTS: There were 201 CTs and 149 TTs. Mean hospital stays were 4.5 and 3.5 days for the CT and TT groups, respectively (p=0.001). Temporary recurrent laryngeal nerve paresis occurred in 2.0% (4 of 201) and 3.3% (5 of 149) of patients in the CT and TT groups, respectively. There was one (0.5%) case of permanent recurrent laryngeal nerve paralysis in the CT group. Permanent hypoparathyroidism rates were 2.5% and 3.3% in the CT and TT groups, respectively. There was no difference between the two groups in terms of total numbers of parathyroid glands autotransplanted (p=0.63) or present in the specimen (p=0.26). CONCLUSIONS: Completion thyroidectomy is a safe and appropriate option in the management of select cases of WDTC in which a definitive preoperative or intraoperative diagnosis is not available. But it requires a longer hospitalization, so it has implications for both hospital resources and the patients involved.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".