Evidence map›Paper›PMID 40809214›Full record

ArticleJournal of thoracic disease2025

Larger polyglycolic acid sheet pleural covering to reduce postoperative recurrence of primary spontaneous pneumothorax.

Takuya Kohama, Toshihiko Sakamoto, Masayuki Tanahashi, Yoshimasa Maniwa

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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  3. 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

4 authors.

Takuya KohamaDivision of Thoracic Surgery, Respiratory Disease Center, Seirei Mikatahara General Hospital, Shizuoka, Japan.ORCID https://orcid.org/0000-0002-2264-1525
Toshihiko SakamotoDepartment of Thoracic Surgery, Kobe Red Cross Hospital, Hyogo, Japan.
Masayuki TanahashiDivision of Thoracic Surgery, Respiratory Disease Center, Seirei Mikatahara General Hospital, Shizuoka, Japan.ORCID https://orcid.org/0000-0002-3476-221X
Yoshimasa ManiwaDepartment of Thoracic Surgery, Kobe University Graduate School of Medicine, Hyogo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Post-bullectomy pleural-covering procedures using reinforcement materials, particularly polyglycolic acid (PGA) sheets, are routinely performed to prevent postoperative recurrence of pneumothorax (PORP). However, the optimal size of PGA sheets remains unknown, causing variability in surgical practice. We evaluated the prognostic significance of larger PGA sheets for reducing PORP rates. Methods: This single-center retrospective study included patients who underwent thoracoscopic bullectomy for primary spontaneous pneumothorax (PSP) between March 2006 and March 2020. Participants were stratified according to the size of the PGA sheets used for pleural covering (large, 225 cm Results: In the study cohort with 185 participants, 152 and 33 were assigned to the large and small groups, respectively. PORP incidence was significantly lower in the large group (3.9%, 6/152) than in the small group (12.1%, 4/33), and IPTW-adjusted multivariable Cox regression analysis indicated a significantly reduced recurrence rate in the large group than in the small group (hazard ratio, 0.11, P<0.01). Conclusions: Using larger PGA sheets to cover the staple line during bullectomy for PSP significantly reduces the postoperative recurrence rate. Adequately sized PGA sheets should be used to provide sufficient coverage beyond the staple line to optimize patient outcomes.

Indexed as

pleural coveringPneumothoraxpolyglycolic acid sheet (PGA sheet)primary spontaneous pneumothorax (PSP)

Identifiers

PMID40809214
PMCPMC12340360

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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.