Evidence map›Paper›PMID 40083487›Full record

ArticleJournal of thoracic disease2025

The subcutaneous tunneled periareolar approach in lung resection performed through uniportal video-assisted thoracic surgery.

Dong Tian, Jun-Jie Wang, Kai-Yuan Jiang, Jie Li, Lei Wang, Hong-Tao Tang, Long-Qi Chen

Abstract read
In one paragraph

Article in Journal of thoracic disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
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.

Dong Tian *Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, China.
Jun-Jie Wang *Department of Thoracic Surgery, The Affiliated Hospital of Southwest Medical University, Luzhou, China.
Kai-Yuan JiangDepartment of Surgery, Tohoku University Graduate School of Medicine, Sendai, Japan.
Jie LiDepartment of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, China.
Lei WangDepartment of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, China.
Hong-Tao TangDepartment of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, China.
Long-Qi ChenDepartment of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The approach for traditional uniportal video-assisted thoracoscopic surgery (Uni-VATS) is typically located on the lateral chest wall, the resulting pain and visible scars may have a negative psychological impact on patients. We present our preliminary experience with the subcutaneous tunneled periareolar approach (STPA) in lung resection performed through Uni-VATS for treating pulmonary nodules. From December 2023 through to June 2024, five patients underwent this procedure, including three cases of the wedge resection, one case of the lobectomy, and one case of the segmentectomy. The operations were uneventful, with no postoperative infections or deaths reported. Scarring from the STPA was effectively concealed within the naturally darker periareolar skin. Tension-free incision reduced postoperative pain for patients, and the follow-up outcomes were favorable. The STPA for Uni-VATS is a safe and reliable method for resection of pulmonary nodules, we recommend this method for patients with aesthetic concerns and for women without reproductive needs.

Indexed as

lung resectionsubcutaneous tunneled periareolar approach (STPA)Uniportal video-assisted thoracoscopic surgery (Uni-VATS)

Identifiers

PMID40083487
PMCPMC11898403

What OpenQuestion holds

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Registered trials

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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.