Evidence map›Paper›PMID 41419863›Full record

ArticleBMC surgery2025

Minimally invasive segmentectomy for non-small cell lung cancer (NSCLC): a comparative analysis of robotic and thoracoscopic approaches.

Zeeshan Malik, Yanwu Zhou, Chunfang Zhang

Abstract readComparative Study
In one paragraph

Article in BMC surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Zeeshan MalikDepartment of Thoracic surgery, Xiangya Hospital, Central South University, Kaifu District, Changsha, 410008, China.
Yanwu ZhouDepartment of Thoracic surgery, Xiangya Hospital, Central South University, Kaifu District, Changsha, 410008, China. zyw2025@csu.edu.cn.
Chunfang ZhangDepartment of Thoracic surgery, Xiangya Hospital, Central South University, Kaifu District, Changsha, 410008, China. zhcf3801@csu.edu.cn.

Funding

Natural Science Foundation of Hunan Province 2019JJ50941
6 · The paper itself

Abstract

BACKGROUND AND

objectiveAnatomical segmentectomy is a lung-sparing surgical option for early-stage non-small cell lung cancer (NSCLC), especially in patients with small peripheral tumors or reduced pulmonary reserve. With increased detection via low-dose CT screening, the demand for segmentectomy is rising. This retrospective cohort study compared short-term outcomes, complications, and costs between robot-assisted segmentectomy (RAS) and video-assisted segmentectomy (VAS) in NSCLC patients.

methodsA sum of 603 patients with pathologically confirmed NSCLC who underwent segmentectomy at Xiangya Hospital between May 2020 and June 2024 were included: RAS (n = 302), VAS (n = 301). Both groups were comparable in demographics and baseline characteristics. Intraoperative variables, postoperative recovery indicators, lung function (pre- and postoperative), hemoglobin levels, arterial blood gases, and total cost were analyzed. Statistical significance was set at p < 0.05.

resultsNo 30-day mortality occurred in either group. RAS showed significantly shorter operation time (89.53 ± 26.60 min vs. 107.80 ± 43.92 min, p < 0.0001), faster intersegmental plane identification (6.10 ± 1.02 min vs. 14.07 ± 2.69 min, p < 0.0001), less blood loss (47.3 ± 39.7 ml vs. 57.3 ± 64.7 ml, p < 0.022), shorter hospital stay (7.9 ± 2.0 vs. 8.5 ± 3.6 days, p < 0.013), chest tube duration (3.3 ± 1.1 vs. 3.6 ± 1.3 days, p < 0.003), and POD1 drainage (257.6 ± 100.4 vs. 282.0 ± 118.4 ml, p < 0.006). RAS had fewer conversions (0.66% vs. 1.3%) and higher lymph node sampling (4.9 ± 0.1 vs. 4.1 ± 0.8, p < 0.0001). Minor (13.57% vs. 19.93%, p < 0.0387) and major (9.60% vs. 12.0%, p < 0.035) complications, postoperative pain (1.65% vs. 7.98%, p < 0.0002), cough, opioid (20% vs. 58%) and antitussive use (20% vs. 46.2%) were lower in RAS. Lung function and ABG values and haemoglobin were statistically similar. Total cost was significantly higher in RAS (9422.3 ± 3183.0 vs. 5741.4 ± 1223.2 USD, p < 0.0001).

conclusionRAS offers better perioperative outcomes and lower morbidity than VAS but at significantly higher cost, requiring further strategies for cost optimization.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsPneumonectomyRobotic Surgical ProceduresThoracic Surgery, Video-AssistedAgedFemaleHumansLength of StayMaleMiddle AgedOperative TimeRetrospective StudiesTreatment OutcomeLobectomyNon-small cell lung cancerRobot-assisted thoracoscopic surgerySegmentectomyVideo-assisted thoracoscopic surgery

Identifiers

PMID41419863
PMCPMC12809932

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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.