Evidence map›Paper›PMID 37969274›Full record

ArticleJournal of thoracic disease2023

Long-term clinical outcomes after initial secondary pneumothorax surgery.

Mi Hyoung Moon, Kyung Soo Kim, Seok Whan Moon

Abstract read
In one paragraph

Article in Journal of thoracic disease, 2023. 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. Review
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  3. 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

3 authors.

Mi Hyoung MoonDepartment of Thoracic and Cardiovascular Surgery, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Kyung Soo KimDepartment of Thoracic and Cardiovascular Surgery, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Seok Whan MoonDepartment of Thoracic and Cardiovascular Surgery, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Given the heterogeneity of underlying lung disease and the higher morbidity and mortality associated with surgery for secondary pneumothorax (SP), treatment standardization and evidence-based early surgical management are challenging pursuits. Our aim was to document the clinical course of SP after initial surgical intervention and analyse related recurrence risk. Methods: We conducted a retrospective review of 160 patients, each with SP, using clinical records housed in an institutional database. Clinical, imaging, and operative data were retrieved, and Cox proportional hazards (PH) analysis was undertaken to identify risk factors for recurrence. Results: During a mean follow-up of 58.7 months, the overall recurrence rate in this cohort was 18.75% (ipsilateral, 14; contralateral, 16). A total of 24 patients had ≥3 ipsilateral episodes <6 months prior to surgery, marked by initial index episodes. In multivariate Cox PH analysis, the strongest risk factor for recurrence was underlying lung pathology other than chronic obstructive pulmonary disease [COPD: hazard ratio (HR) =5.3; P<0.001]. Conclusions: In this setting, underlying lung disease of a non-COPD nature is a proven risk factor for postsurgical recurrence. There is also a tendency in some patients for multiple episodes of pneumothorax within short periods of time, especially in the absence of COPD. Underlying disease processes may thus merit consideration in treatment planning.

Indexed as

chronic obstructive pulmonary disease (COPD)recurrenceSecondary pneumothorax (SP)surgery

Identifiers

PMID37969274
PMCPMC10636440

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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.