Evidence map›Paper›PMID 39806182›Full record

ArticleSurgical endoscopy2025

The comparison of uniportal versus multiportal video-assisted thoracic surgery for esophageal cancer: a propensity-weighted analysis.

Xin Xiao, Si-Yuan Luan, Shu-Hao Zhang, Qi-Xin Shang, Yu-Shang Yang, Yue Wen, Pin-Hao Fang, Jian-Feng Zhou, Xiao-Kun Li, Yang Hu and 2 more

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Surgical endoscopy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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4 · The record

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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

12 authors.

Xin Xiao *Department of Thoracic Surgery, West China Hospital of Sichuan University, Guoxue Alley, No. 37, Chengdu, Sichuan, China.
Si-Yuan Luan *Department of Thoracic Surgery, West China Hospital of Sichuan University, Guoxue Alley, No. 37, Chengdu, Sichuan, China.
Shu-Hao Zhang *Department of Thoracic Surgery, West China Hospital of Sichuan University, Guoxue Alley, No. 37, Chengdu, Sichuan, China.
Qi-Xin ShangDepartment of Thoracic Surgery, West China Hospital of Sichuan University, Guoxue Alley, No. 37, Chengdu, Sichuan, China.
Yu-Shang YangDepartment of Thoracic Surgery, West China Hospital of Sichuan University, Guoxue Alley, No. 37, Chengdu, Sichuan, China.
Yue WenSchool of Statistics, Southwestern University of Finance and Economics, Chengdu, China.
Pin-Hao FangDepartment of Thoracic Surgery, West China Hospital of Sichuan University, Guoxue Alley, No. 37, Chengdu, Sichuan, China.
Jian-Feng ZhouDepartment of Thoracic Surgery, West China Hospital of Sichuan University, Guoxue Alley, No. 37, Chengdu, Sichuan, China.
Xiao-Kun LiDepartment of Thoracic Surgery, West China Hospital of Sichuan University, Guoxue Alley, No. 37, Chengdu, Sichuan, China.
Yang HuDepartment of Thoracic Surgery, West China Hospital of Sichuan University, Guoxue Alley, No. 37, Chengdu, Sichuan, China.
Long-Qi ChenDepartment of Thoracic Surgery, West China Hospital of Sichuan University, Guoxue Alley, No. 37, Chengdu, Sichuan, China.
Yong YuanDepartment of Thoracic Surgery, West China Hospital of Sichuan University, Guoxue Alley, No. 37, Chengdu, Sichuan, China. yongyuan@scu.edu.cn.

Funding

1.3.5 project for disciplines of excellence, West China Hospital, Sichuan University 2020HXFH0471.3.5 project for disciplines of excellence, West China Hospital, Sichuan University 20HXJS0051.3.5 project for disciplines of excellence, West China Hospital, Sichuan University ZYAI24049
6 · The paper itself

Abstract

objectivesThe utilization of uniportal video-assisted thoracoscopic surgery (VATS) has become prevalent, notwithstanding, there are few studies exploring its application specifically in esophagectomy.

methodsA retrospective analysis was conducted on data collected from patients diagnosed with clinical stage T1-3/N0/M0 thoracic esophageal cancer, who underwent surgery between January 2017 and December 2020. To evaluate the outcomes, an analysis was conducted utilizing the inverse probability of treatment weighting (IPTW) method.

resultsThis study identified 55 patients who underwent uniportal VATS and 212 patients who underwent multiportal VATS. Postoperative complications classified as Clavien-Dindo grades 1-2 occurred less frequently after uniportal than multiportal VATS in both unadjusted and IPTW-adjusted analyses (10.1% versus 28.8%, respectively; P = 0.018). Upon IPTW analysis, it indicated that the rate of pneumonia (grades 1-2) in the uniportal VATS group was 7.3%, notably lower than the corresponding rate of 23.2% observed in the multiportal VATS group (P = 0.037). Patients in uniportal VATS group had a shorter postoperative length of stay comparing with those in multiportal VATS group (9 versus 10 days, P = 0.006 after IPTW). The visual analog scale (VAS) was administered within 7 days following surgery and scores were significantly lower in uniportal VATS group (P < 0.001). No surgery-related mortality was observed in uniportal VATS group. The survival benefit observed between two groups was comparable before (P = 0.320) and after IPTW analysis (P = 0.824), indicating no significant difference.

conclusionsThe utilization of uniportal VATS for esophagectomy demonstrated a reduced occurrence of postoperative complications, accompanied by mitigated postoperative pain, thereby presenting as a viable and practical approach for treating esophageal cancer patients.

Indexed as

Esophageal NeoplasmsEsophagectomyPostoperative ComplicationsThoracic Surgery, Video-AssistedAgedFemaleHumansLength of StayMaleMiddle AgedNeoplasm StagingPropensity ScoreRetrospective StudiesTreatment OutcomeEsophageal cancerEsophagectomyMinimally invasive esophagectomyVideo-assisted thoracoscopic surgery

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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.