Evidence map›Paper›PMID 38952522›Full record

ArticlePakistan journal of medical sciences2024

Efficacy of uniportal versus multiportal video-assisted thoracoscopic lobectomy for non-small cell lung cancer: A retrospective analysis.

Xing Zheng, Wenmin Wang, Xiang Li, Pengyixiang He, Xu Wu

Abstract read
In one paragraph

Article in Pakistan journal of medical sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
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  5. Review
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

5 authors.

Xing ZhengXing Zheng, Department of Thoracic Surgery, The First School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong Province 510515, China.
Wenmin WangWenmin Wang Department of Breast Surgery, Nanfang Hospital Baiyun Branch, Guangzhou, Guangdong province 510405, China.
Xiang LiXiang Li Department of Emergency, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong Province 510515, China.
Pengyixiang HePengyixiang He, Department of Thoracic Surgery, The First School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong Province 510515, China.
Xu WuXu Wu, Department of Thoracic Surgery, The First School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong Province 510515, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To compare the uniportal and multiportal video-assisted thoracoscopic surgery (VATS) in patients with non-small-cell lung cancer (NSCLC). Methods: Medical records of 128 patients with NSCLC who underwent surgical treatment in the First School of Clinical Medicine, Southern Medical University from August 2020 to February 2022 were retrospectively analyzed. There were 60 patients who underwent uniportal VATS (UVATS group) and 68 patients underwent multiportal VATS (MVATS group). The relevant indexes, complications, postoperative pain levels and quality of life, recurrence, metastases and survival between the two groups were compared. Results: UVATS was associated with longer operation time and higher intraoperative blood loss compared to MVATS ( Conclusions: UVATS and MVATS have similar outcomes in patients with NSCLC. Although UVATS surgery takes longer and is associated with more interoperative bleeding, it can reduce postoperative pain, shorten postoperative recovery time, and help further improve the quality of life of patients after surgery.

Indexed as

MultiportalNon-small-cell lung cancerUniportalVideo-assisted thoracoscopic surgery

Identifiers

PMID38952522
PMCPMC11190387

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.