Post-Thyroidectomy Complications and Risk Factors in Tabuk, Saudi Arabia: A Retrospective Cohort Study
Bibliographic record
Abstract
Background Thyroid surgery is one of the most commonly performed procedures internationally. There were no studies conducted in Tabuk, Saudi Arabia, on post-thyroidectomy complications and their risk factors. Objective The aim of this study was to assess post-thyroidectomy complications and determine the risk factors of such complications. Methods This retrospective study included all cases that underwent thyroidectomy at King Salman Armed Forces Hospital, Tabuk, Saudi Arabia, from January 2012 to December 2017. Patients with preoperative hypoparathyroidism, chronic kidney disease, or history of dysphonia were excluded. Data were collected from medical records. Results The study showed 182 patients who underwent thyroidectomy operation between January 2012 and December 2017. Temporary hypocalcemia was developed in 116 patients (63.7%) while it persisted in three (1.6%). Change of voice was reported in five patients (2.7%) while two (1.1%) lost a high-pitched voice. Seroma, hematoma, and tracheal injury were documented in 1.6%, 1.1%, and 0.5%, respectively. Multivariate analysis showed that total thyroidectomy was the most significant (four times) risk factor for the development of hypocalcemia as compared to other surgical procedures. Conclusion Hypocalcemia was the most frequent post-thyroidectomy complication, whereas voice changes, seroma, hematoma, and tracheal injury are rare complications. Additionally, total thyroidectomy has the highest risk of postoperative hypocalcemia.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".