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Record W4416441538 · doi:10.5306/wjco.v16.i11.110792

Clinicopathological predictors of right para esophageal lymph node metastasis in papillary thyroid carcinoma: A systematic review and meta-analysis

2025· review· en· W4416441538 on OpenAlexaboutno aff
Mirza Muhammad Hadeed Khawar, M S Cheema, Muneeb Khawar, Muhammad Huzaifa Ahmed Khan, Rimsha Noureen, Hamza Aka Khail, Ali Akram Qureshi, Muhammad Abbas Khokhar

Bibliographic record

VenueWorld Journal of Clinical Oncology · 2025
Typereview
Languageen
FieldMedicine
TopicThyroid Cancer Diagnosis and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsLymph node metastasisThyroiditisThyroidMetastasisLymph nodeLymphHashimoto Disease

Abstract

fetched live from OpenAlex

BACKGROUND Dissection of the right paraesophageal lymph node (RPELN) in managing papillary thyroid carcinoma remains a contentious issue. This meta-analysis assesses previously established and novel risk factors associated with RPELN metastasis. AIM To evaluate previously established and novel risk factors associated with RPELN metastasis in patients with papillary thyroid carcinoma papillary thyroid carcinoma through a comprehensive meta-analysis. METHODS We searched MEDLINE (via PubMed), ScienceDirect, Scopus and EMBASE up to December 2024. Studies were assessed using the Newcastle-Ottawa Scale. Statistical analysis was conducted with RevMan version 5.4, using the Q -test and I 2-test for heterogeneity. Sensitivity was evaluated with the leave-one-out method, and publication bias with the Egger regression test and funnel plot. RESULTS Of 2444 articles retrieved, 26 were included in our meta-analysis with 16427 patients. The RPELN metastasis rate was 12.98% [95% confidence interval (CI): 12.46%-13.50%]. The pooled results suggested that age < 55 years [odds ratio (OR) = 1.71, 95%CI: 1.35-2.16, P < 0.00001], sex (OR = 0.60, 95%CI: 0.54-0.67, P < 0.00001), tumor size 1 cm (OR = 3.37, 95%CI: 2.69-4.21, P < 0.00001), multifocality (OR = 1.81, 95%CI: 1.49-2.20, P < 0.00001), capsular invasion (OR = 2.94, 95%CI: 2.05-4.20, P < 0.00001), vascular invasion (OR = 2.16, 95%CI: 1.56-2.99, P < 0.00001), extra-thyroid extension (OR = 3.30, 95%CI: 1.82-5.98, P < 0.0001), central lymph node metastasis (OR = 7.77, 95%CI: 4.73-12.76, P < 0.00001), lateral lymph node metastasis (OR = 6.94, 95%CI: 6.11-7.89, P < 0.00001), Hashimoto thyroiditis (OR = 0.79, 95%CI: 0.69-0.92, P = 0.002), micro-calcifications (OR = 2.29, 95%CI: 1.20-4.37, P = 0.01), and echogenicity (OR = 0.62, 95%CI: 0.40-0.98, P = 0.04) should be considered with RPELN metastasis. CONCLUSION The male < 55, tumor size > 1 cm, multifocality, capsular and vascular invasion, extrathyroidal extension, lymph node metastasis, and Hashimoto thyroiditis were significantly associated with RPELN metastasis and should be carefully assessed during dissection.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.013
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.021
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0130.033
Bibliometrics0.0060.007
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.159
GPT teacher head0.473
Teacher spread0.314 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreReview

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".

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Citations1
Published2025
Admission routes1
Has abstractyes

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