Evidence map›Paper›PMID 41918237›Full record

ReviewAnnals of medicine2026

The surgical approach strategies in the treatment of anterior mediastinal tumors.

Junwei Xie, Hongliang Wang, Tianci Han, Wei Tong, Xiaoqi Guo, Min Zhang, Dongzhe Liu, Hongxu Liu, Liang Zhang

Abstract readReview
In one paragraph

Review in Annals of medicine, 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

9 authors.

Junwei XieDepartment of Thoracic Surgery, Liaoning Cancer Hospital & Institute, Shenyang, China.
Hongliang WangDepartment of Cardiothoracic Surgery, Tieling City Central Hospital, Tieling, China.
Tianci HanDepartment of Thoracic Surgery, Liaoning Cancer Hospital & Institute, Shenyang, China.
Wei TongDepartment of Thoracic Surgery, Liaoning Cancer Hospital & Institute, Shenyang, China.
Xiaoqi GuoDepartment of Thoracic Surgery, Liaoning University of Traditional Chinese Medicine, Shenyang, China.
Min ZhangDepartment of Thoracic Surgery, Central Hospital Affiliated to Shenyang Medical College, Shenyang, China.
Dongzhe LiuDepartment of Cardiothoracic Surgery, Kuandian Manzu Autonomous County Central Hospital, Dandong, China.
Hongxu LiuDepartment of Thoracic Surgery, Liaoning Cancer Hospital & Institute, Shenyang, China.
Liang ZhangDepartment of Thoracic Surgery, Liaoning Cancer Hospital & Institute, Shenyang, China.ORCID 0009-0007-8801-5045

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAnterior mediastinal tumors, involving structures such as the thymus and lymph nodes, pose significant clinical challenges due to their asymptomatic nature and potential to cause severe symptoms as they grow or invade surrounding organs. Treatment varies by tumor type, with surgery being crucial, especially for benign tumors and thymomas. The complex anatomy of the anterior mediastinum makes surgical approach selection critical for treatment outcomes.

methodA comprehensive literature search was conducted to identify studies related to surgical approaches for anterior mediastinal tumors. Two major databases, PubMed and Web of Science, were searched for studies published between 2000 and 2025. Key search terms included 'anterior mediastinal tumors', 'thymoma', 'Robot-Assisted Surgery', 'Video-Assisted Thoracoscopic Surgery (VATS)', and 'surgical approach'. Inclusion criteria were limited to clinical studies, reviews, and case series reporting on the surgical management of anterior mediastinal tumors in adults. Studies focusing on non-surgical treatment or lacking sufficient clinical outcome data were excluded. Due to wide variations in study designs, patient populations, and surgical techniques, a formal meta-analysis was not performed. Instead, a narrative review of the available literature was conducted to provide a comprehensive qualitative summary of current surgical strategies, their indications, and outcomes. This study explores various surgical approaches for anterior mediastinal tumors, including traditional open methods (e.g. Median Sternotomy) and minimally invasive techniques (e.g. Thoracoscopic and Robot-Assisted Surgery). It analyzes their indications, operative difficulty, complication rates, and postoperative recovery, integrating the latest technological advancements.

resultsDifferent surgical approaches have distinct characteristics. Traditional open surgeries offer clear exposure but result in significant trauma and complications. Minimally invasive techniques, such as Thoracoscopic Surgery, provide advantages like smaller incisions, reduced recovery time, and fewer complications, but require advanced technical skills and may have limited applicability for certain tumor locations and sizes. Robot-Assisted Surgery combines minimally invasive benefits with high precision and better visualization, though its high cost limits widespread use.

conclusionThe choice of a surgical approach should be personalized based on the tumor's location and size, the patient's clinical condition, and expected postoperative outcomes. For small, accessible tumors, Thoracoscopic Surgery is preferred; for complex or larger tumors, open or Robot-Assisted Surgery may be more suitable. Future advancements in technology and multidisciplinary collaboration are expected to further improve treatment outcomes for anterior mediastinal tumors.

Indexed as

Mediastinal NeoplasmsRobotic Surgical ProceduresThoracic Surgery, Video-AssistedHumansMediastinumThymomaThymus NeoplasmsTreatment OutcomeAnterior mediastinal tumorsclinical conditionsurgical approachestechnologythymomastreatment outcomes

Identifiers

PMID41918237
PMCPMC13045191

What Socratic holds

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LicenceCC BY
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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 Socratic graph.