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Predictive factors of lymph node metastasis in papillary thyroid cancer.

단면연구 1/5 보강
PloS one 📖 저널 OA 99.8% 2021: 16/16 OA 2022: 12/12 OA 2023: 15/15 OA 2024: 33/33 OA 2025: 202/202 OA 2026: 233/234 OA 2021~2026 2023 Vol.18(11) p. e0294594
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PICO 자동 추출 (휴리스틱, conf 2/4)

유사 논문
P · Population 대상 환자/모집단
환자: PTC with and without LNM
I · Intervention 중재 / 시술
추출되지 않음
C · Comparison 대조 / 비교
추출되지 않음
O · Outcome 결과 / 결론
Age, sex, tumor size, and extrathyroidal extension can assist in predicting LNM in PTC patients. Additionally, the bilaterality of tumors and presence of autoimmune thyroid disease can assist in predicting LNM in micro-PTCs.

Song WJ, Um IC, Kwon SR, Lee JH, Lim HW, Jeong YU

📝 환자 설명용 한 줄

This study aimed to evaluate factors that predict lymph node metastasis (LNM) in papillary thyroid cancer (PTC).

🔬 핵심 임상 통계 (초록에서 자동 추출 — 원문 검증 권장)
  • 표본수 (n) 512
  • p-value p<0.05
  • 연구 설계 cross-sectional

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↓ .bib ↓ .ris
APA Song WJ, Um IC, et al. (2023). Predictive factors of lymph node metastasis in papillary thyroid cancer.. PloS one, 18(11), e0294594. https://doi.org/10.1371/journal.pone.0294594
MLA Song WJ, et al.. "Predictive factors of lymph node metastasis in papillary thyroid cancer.." PloS one, vol. 18, no. 11, 2023, pp. e0294594.
PMID 38011178 ↗

Abstract

This study aimed to evaluate factors that predict lymph node metastasis (LNM) in papillary thyroid cancer (PTC). This retrospective cross-sectional study compared the demographic, clinical, and ultrasonographic findings of patients with PTC with and without LNM. Subgroup analysis was conducted for micro-PTCs (<1 cm). Among total (n = 512; mean age, 47.3 ± 12.7 years) and micro-PTC patients (n = 312), 35.7% and 19.6% had LNM, respectively. Younger age, male sex, tumor size, bilaterality, and suspicious ultrasound features of the tumor were associated with LNM. In multiple logistic regression analysis, among all patients, age, tumor size, and extrathyroidal extension were independent risk factors for LNM (all p<0.05). In the micro-PTC subgroup, age, extrathyroidal extension, bilaterality of tumor, and presence of autoimmune thyroid disease were independent risk and protective factors for LNM (all p<0.05). In the receiver operating characteristic analysis, the accuracy of the multivariable logistic regression model for predicting LNM among all patients and micro-PTC was acceptable (area under the curve = 0.729 and 0.733, respectively). Age, sex, tumor size, and extrathyroidal extension can assist in predicting LNM in PTC patients. Additionally, the bilaterality of tumors and presence of autoimmune thyroid disease can assist in predicting LNM in micro-PTCs.

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