The Anatomical Relationship of Inferior Thyroid Artery and Recurrent Laryngeal Nerve: A Review of the Literature and Its Clinical Importance
Bibliographic record
Abstract
Background: Thyroidectomy is a quite common daily operation in general surgery. However, the anatomical structures of the region, mainly the relationship of recurrent laryngeal nerve (RLN) and inferior thyroid artery (ITA) makes the procedure challenging. The current review of the literature aims to report the anatomical variations of this relationship. Methods: The preferred reporting items for systemic reviews and meta-analyses (PRISMA) guidelines were used for the systematic review of the articles found after an extensive research through PubMed, Science Direct, EMBASE and Web of Science. A total of 16 studies were included for the statistical analysis. Results: The results showed that the most common type of RLN was posterior to the ITA. However, according to Higgins I 2 statistics the heterogeneity of the studies was quite high. Conclusions: The relationship between the RLN and the ITA is quite variable. Anatomical knowledge of the region is vital for attempting to eliminate the risk of injuring the nerve during thyroidectomy. J Clin Med Res. 2020;12(10):640-646 doi: https://doi.org/10.14740/jocmr4296
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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 | 0.003 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.008 | 0.009 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".