SUN-292 Examining Predictive Elements Influencing Metastasis to Right Para Esophageal Lymph Nodes in Papillary Thyroid Carcinoma: A Systematic Review and Meta-Analysis
Bibliographic record
Abstract
Abstract Disclosure: A. Ullah: None. R. Haider: None. M. Khawar: None. M. Abid: None. M. Hadeed Khawar: None. M. Shaukat: None. M. Asad Cheema: None. A. Komel: None. M. Ahmed Khan: None. R. Noureen: None. A. Batool: None. M. Mubashir: None. A. Qadeer: None. R. W. Kirchoff: None. Background: The role of dissecting the right paraesophageal lymph node (RPELN) in managing papillary thyroid carcinoma (PTC) remains a subject of debate. This meta-analysis examines both established and novel risk factors associated with RPELN metastasis. Methods: Relevant studies published up to December 2024 were retrieved using PubMed, Embase, Ovid, and Scopus search engines. Data were extracted and evaluated using the Newcastle-Ottawa scale. Statistical analysis was performed using Review Manager 5.4, with heterogeneity assessed through the Q-test and I²-test. Sensitivity analysis was conducted using the leave-one-out method, and the Egger regression test was used to generate a funnel plot for publication bias assessment. Results: Out of 2,444 articles screened, 26 studies involving 16,427 patients were included in the meta-analysis. The overall RPELN metastasis rate was 12.98% (2,133/16,427). The pooled analysis revealed significant associations between RPELN metastasis and the following factors: age under 55 years (P < 0.00001), male gender (P < 0.00001), tumor size >1 cm (P < 0.00001), multifocality (P < 0.00001), capsular invasion (P < 0.00001), vascular invasion (P < 0.00001), extra-thyroidal extension (P < 0.0001), central lymph node metastasis (P < 0.00001), lateral lymph node metastasis (P < 0.00001), Hashimoto’s thyroiditis (P = 0.002), micro-calcifications (P = 0.01), and altered echogenicity (P = 0.03). Conversely, no significant associations were observed for tumor location in the right lobe (P = 0.07), superior pole (P = 0.08), middle pole (P = 1.00), inferior pole (P = 0.28), or tumor margins (P = 0.93) (all P > 0.05). Conclusion: Factors such as age <55, male sex, tumor size >1 cm, multifocality, capsular invasion, vascular invasion, extra-thyroidal extension, central lymph node metastasis, lateral lymph node metastasis, and Hashimoto’s thyroiditis are significantly associated with RPELN metastasis. These should be carefully considered during RPELN dissection in PTC management. Presentation: Sunday, July 13, 2025
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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 | 0.007 | 0.018 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.012 | 0.032 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".