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Recurrent laryngeal never monitoring versus non-monitoring in parathyroid surgery.

1/5 보강
Frontiers in endocrinology 📖 저널 OA 100% 2021: 2/2 OA 2022: 120/120 OA 2023: 125/125 OA 2024: 102/102 OA 2025: 137/137 OA 2026: 48/48 OA 2021~2026 2023 Vol.14() p. 1299943
Retraction 확인
출처

PICO 자동 추출 (휴리스틱, conf 3/4)

유사 논문
P · Population 대상 환자/모집단
270 patients with primary hyperparathyroidism (PHPT), 53 patients with secondary hyperparathyroidism (SHPT), and 300 patients with thyroid cancer from June 2010 to June 2022 in one hospital in China.
I · Intervention 중재 / 시술
IONM than in those who did not
C · Comparison 대조 / 비교
추출되지 않음
O · Outcome 결과 / 결론
Compared with parathyroidectomy, thyroidectomy had a higher rate of RLN injury (5.32%, P<0.001). [CONCLUSION] IONM for SHPT and PHPT offers rapid anatomical gland identification and RLN functional results for effective RLN protection and reduced RLN damage rates.

Mu Y, Bian X, Yang J, Li Y, Zhang Y, Dionigi G, Zhao Y, Sun H

📝 환자 설명용 한 줄

[BACKGROUND] Although intraoperative neural monitoring (IONM) is well established in thyroid surgery, it is less commonly analyzed in parathyroid operations.

🔬 핵심 임상 통계 (초록에서 자동 추출 — 원문 검증 권장)
  • p-value P<0.001
  • p-value P=0.012
  • 추적기간 12 months

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↓ .bib ↓ .ris
APA Mu Y, Bian X, et al. (2023). Recurrent laryngeal never monitoring versus non-monitoring in parathyroid surgery.. Frontiers in endocrinology, 14, 1299943. https://doi.org/10.3389/fendo.2023.1299943
MLA Mu Y, et al.. "Recurrent laryngeal never monitoring versus non-monitoring in parathyroid surgery.." Frontiers in endocrinology, vol. 14, 2023, pp. 1299943.
PMID 38089613 ↗

Abstract

[BACKGROUND] Although intraoperative neural monitoring (IONM) is well established in thyroid surgery, it is less commonly analyzed in parathyroid operations. This study presents the results of IONM for primary and secondary hyperparathyroidism surgery.

[METHODS] We retrospectively assessed 270 patients with primary hyperparathyroidism (PHPT), 53 patients with secondary hyperparathyroidism (SHPT), and 300 patients with thyroid cancer from June 2010 to June 2022 in one hospital in China. The follow-up was 12 months. Demographic, electromyography data from IONM, laboratory, and clinical information were collected. Laryngoscopy was collected from 109 patients with PHPT in whom IONM was not used. All groups were assessed by Pearson's chi-square test and Fisher's exact probability method to verify the relationship between parathyroid size and location, duration of surgery, preoperative concordant localization, laryngeal pain, IONM outcomes, cure rate, and RLN injury. Visual analog scale (VAS) assessed laryngeal pain. RLN outcomes were measured according to nerves at risk (NAR).

[RESULTS] The study comprehended 918 NAR, that is 272, 105, 109, and 432 NAR for PHPT, SHPT with IONM, PHPT without IONM, and thyroid surgery control group, respectively. IONM successfully prevented RLN injury (P<0.001, P=0.012): Fifteen (5.51%) RLNs experienced altered nerve EMG profiles during surgery, and five (1.84%) experienced transient RLN injury in PHPT patients. Five (4.76%) RLNs were found to have altered EMG profiles during surgery, and one (0.95%) RLN had a transient RLN injury in SHPT patients. There was no permanent nerve injury (0.00%) in this series. There was no association between location, gland size, preoperative concordant localization, cure rate, duration of surgery, and IONM (P >0.05). Duration of surgery was associated with postoperative pharyngeal discomfort (P=0.026, P=0.024). Transient RLN injury was significantly lower in patients with PHPT who underwent IONM than in those who did not. Intraoperative neuromonitoring played an effective role in protecting the recurrent laryngeal nerve (P=0.035). Compared with parathyroidectomy, thyroidectomy had a higher rate of RLN injury (5.32%, P<0.001).

[CONCLUSION] IONM for SHPT and PHPT offers rapid anatomical gland identification and RLN functional results for effective RLN protection and reduced RLN damage rates.

🏷️ 키워드 / MeSH 📖 같은 키워드 OA만

같은 제1저자의 인용 많은 논문 (5)

🏷️ 같은 키워드 · 무료전문 — 이 논문 MeSH/keyword 기반

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