Evidence map›Paper›PMID 36807111›Full record

Trial reportGeneral thoracic and cardiovascular surgery2023

Could the probability of surgical indication be determined after first episode of primary spontaneous pneumothorax?

Necati Çıtak, Servet Özdemir, Selçuk Köse

Abstract readRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in General thoracic and cardiovascular surgery, 2023. 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
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1 · What the graph read from it

What it found

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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

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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
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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Necati ÇıtakThoracic Surgery Department, Bakirköy Dr. Sadi Konuk Research and Education Hospital, Istanbul, Turkey. necomomus@gmail.com.ORCID http://orcid.org/0000-0003-4122-9197
Servet ÖzdemirThoracic Surgery Department, Bakirköy Dr. Sadi Konuk Research and Education Hospital, Istanbul, Turkey.
Selçuk KöseThoracic Surgery Department, Bakirköy Dr. Sadi Konuk Research and Education Hospital, Istanbul, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo develop a risk score model for primary spontaneous pneumothorax surgery (prolonged air leak or ipsilateral recurrence). The model was internally validated for risk estimation.

methodsWe analyzed 453 patients with primary spontaneous pneumothorax between 2014 and 2018. Patients were randomly assigned a 2:1 ratio to the development dataset (n = 302, study cohort) or the internal validation dataset (n = 151, validation cohort). The final outcomes of patients with primary spontaneous pneumothorax, the presence or absence of surgical indications, were tracked. Multivariable logistic regression models were prepared to estimate the probability of surgical indication and a scoring model was created. It was internally validated using the validation cohort. Calibration was ascertained using the Hosmer-Lemeshow method and Brier score.

resultsThe surgery indication rate was 47.8% (n = 217) (prolonged air leak, n = 130; ipsilateral recurrence, n = 87). There were no demographic or radiological differences between the validation and the study cohorts. Logistic regression analysis showed that the presence of bullae or blebs (p < 0.001, odds ratio = 3.340, 95%CI = 1.753-6.363) and pneumothorax volume (p < 0.001, odds ratio = 1.033, 95%CI = 1.019-1.048) were independent risk factors for surgical indication. The scoring model significantly predicted surgical indications (area under the curve, AUC = 0.768, 95%CI = 0.714-0.821, p < 0.001). Our model showed acceptable discrimination with an AUC > 0.75 in the validation set (AUC = 0.777, 95%CI = 0.702-0.852, p < 0.001) and had an adequate calibration (Hosmer-Lemeshow test p = 0.249, Brier score = 0.25).

conclusionThe internally validated primary spontaneous pneumothorax scoring model was a good predictor of the need for surgery in patients with primary spontaneous pneumothorax. Prospective external validation studies with larger patient cohorts are required.

Indexed as

Lung DiseasesPneumothoraxHumansOdds RatioProspective StudiesRecurrenceRetrospective StudiesRisk FactorsModelingPrimary spontaneous pneumothoraxProbabilitySurgical indication

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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.