Evidence map›Paper›PMID 42046139›Full record

ReviewJournal of cardiothoracic surgery2026

Robotic thymectomy in myasthenia gravis: current evidence, outcomes, and future perspective.

Jianwei Huang, Chunhui Pan, Jing He, Junqi Qin, Shengjing Liang, Yifan Zhou, Yonglong Zhong

Abstract readReview
In one paragraph

Review in Journal of cardiothoracic surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Jianwei Huang *Department of Thoracic Surgery, People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences, No. 6 Taoyuan Road, Nanning, 530021, P.R. China.
Chunhui Pan *Department of Thoracic Surgery, People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences, No. 6 Taoyuan Road, Nanning, 530021, P.R. China.
Jing He *Department of Thoracic Surgery, People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences, No. 6 Taoyuan Road, Nanning, 530021, P.R. China.
Junqi QinDepartment of Thoracic Surgery, People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences, No. 6 Taoyuan Road, Nanning, 530021, P.R. China.
Shengjing LiangDepartment of Thoracic Surgery, People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences, No. 6 Taoyuan Road, Nanning, 530021, P.R. China.
Yifan ZhouDepartment of Thoracic Surgery, People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences, No. 6 Taoyuan Road, Nanning, 530021, P.R. China. richbeijing@163.com.
Yonglong ZhongDepartment of Thoracic Surgery, People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences, No. 6 Taoyuan Road, Nanning, 530021, P.R. China. yl.zhong@whu.edu.cn.

Funding

Guangxi Medical and Health Appropriate Technology Development and Promotion Application Project S2024013
6 · The paper itself

Abstract

Robotic-assisted thymectomy has become a well-established treatment option for acetylcholine receptor-positive myasthenia gravis. This review provides a synthesis of current evidence regarding its technical evolution, surgical outcomes, neurological efficacy, and future directions. Robotic thymectomy, particularly using platforms such as the da Vinci system, offers high-definition three-dimensional visualization, tremor filtration, and articulating instruments that enable precise dissection within the confined space of the mediastinum. Several surgical approaches are available, including unilateral right or left transthoracic, subxiphoid, and emerging single-port techniques—each with distinct advantages. The procedure is associated with excellent safety and feasibility, characterized by low conversion rates, minimal blood loss, short hospital stays, and a low incidence of major complications. Neurological outcomes are promising, with clinical improvement observed in 75–85% of patients at five years and complete stable remission rates ranging from 18% to 40%. A consistent steroid-sparing effect has also been reported. Key prognostic factors for favorable outcomes include younger age, milder disease severity, and non-thymomatous pathology. Comparative studies indicate that robotic thymectomy offers superior perioperative outcomes relative to open sternotomy, while demonstrating comparable efficacy to video-assisted thoracoscopic surgery, with potential qualitative advantages. The procedure is increasingly being applied in special populations, including juvenile, elderly, and ocular myasthenia gravis patients. Future directions include prospective trials, biomarker research, and technological innovations such as single-port robotic platforms. In conclusion, this narrative review is based on a structured literature search of PubMed and Web of Science. While the current evidence largely derives from retrospective cohort studies and case series, the aggregated data consistently demonstrate that robotic thymectomy represents a safe and effective surgical option that effectively balances the goals of radical resection and minimal morbidity. This review uniquely integrates surgical outcomes, neurological efficacy, and patient selection criteria into a single synthesis, providing a clinically actionable framework for multidisciplinary decision-making.

Indexed as

Myasthenia GravisRobotic Surgical ProceduresThymectomyHumansTreatment OutcomeMinimally Invasive SurgeryMyasthenia GravisNeurological OutcomesRobotic ThymectomyThymoma

Identifiers

PMID42046139
PMCPMC13261895

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.