Comparison of Short-term Outcomes Following Minimally Invasive (endoscopic/robotic) Vs Open Thyroidectomy for Patients with Thyroid Cancer
European thyroid journal（2025）
Abstract
Background Selection between open thyroidectomy (OT) and minimally invasive (endoscopic/robotic) thyroidectomy (MT) for patients with thyroid cancer has been a subject of considerable debate. Comprehensive analysis of the short-term outcomes of endoscopic thyroidectomy (ET), robotic thyroidectomy (RT) and OT for thyroid cancer using a large-scale dataset is important. Methods This cohort study evaluated the outcomes of patients receiving ET, RT vs OT for thyroid cancer from January 1, 2003, to December 31, 2022. Propensity score matching was performed among patients treated with ET, RT or OT to balance covariates distribution. This study involved single-institutional patients (aged 18-70) who had undergone ET, RT or OT for thyroid cancer. Results The study included 11066 thyroid cancer patients (OT group: mean [SD] age, 42.45 [10.84] years; ET group: mean [SD] age, 36.75 [9.32] years; RT group: mean [SD] age, 40.27 [10.42] years). After PSM for demographic and clinical characteristics, 908 matched pairs of patients (ET vs. OT) and 1480 matched pairs (RT vs. OT) were included for further analysis. Complication analysis revealed that RT was associated with a lower rate of transient hypoparathyroidism (339 [22.9%] vs. 687 [46.4%]; p <0.001), a lower rate of permanent hypoparathyroidism (4 [0.3%] vs. 16 [1.1%]; p =0.012) and a lower rate of transient recurrent laryngeal nerve injury (63 [4.3%] vs. 89 [6.0%]; p =0.037). Conclusion This cohort study analyzed the short-term outcomes between ET, RT and OT in a large sample of patients with thyroid cancer over a period of two decades. PSM provided a comparable cohort, and the results suggested the advantage of RT, which reduced Clavien‒Dindo grade Ⅰ complications in the surgical treatment of thyroid cancer.
MoreTranslated text
Key words
thyroid cancer,open thyroidectomy,endoscopic/robotic thyroidectomy,short-term outcomes,hypoparathyroidism
求助PDF
上传PDF
View via Publisher
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
- Pretraining has recently greatly promoted the development of natural language processing (NLP)
- We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
- We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
- The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
- Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper
Summary is being generated by the instructions you defined