Evidence map›Paper›PMID 34398283›Full record

ArticleSurgical endoscopy2022

Does morbid obesity influence perioperative outcomes after video-assisted thoracic surgery (VATS) lobectomy for non-small cell lung cancer? Analysis of the Italian VATS group registry.

Francesco Guerrera, Paraskevas Lyberis, Paolo Olivo Lausi, Riccardo Carlo Cristofori, Roberto Giobbe, Massimo Molinatti, Pier Luigi Filosso, Carlo Curcio, Roberto Crisci, Enrico Ruffini and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Surgical endoscopy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 15% of its field
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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Obesity and lung cancer-a narrative review.Journal of thoracic disease · 2023
    Review
  7. Article
  8. 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

11 authors at 3 institutions in 1 country.

Francesco GuerreraDepartment of Surgical Science, University of Torino, Torino, Italy. francesco.guerrera@unito.it.ORCID 0000-0002-4125-4379
Paraskevas LyberisDepartment of Thoracic Surgery, Azienda Ospedaliera Universitaria Città della Salute e della Scienza di Torino, Torino, Italy.
Paolo Olivo LausiDepartment of Surgical Science, University of Torino, Torino, Italy.
Riccardo Carlo CristoforiDepartment of Thoracic Surgery, Azienda Ospedaliera Universitaria Città della Salute e della Scienza di Torino, Torino, Italy.
Roberto GiobbeDepartment of Thoracic Surgery, Azienda Ospedaliera Universitaria Città della Salute e della Scienza di Torino, Torino, Italy.
Massimo MolinattiDepartment of Thoracic Surgery, Azienda Ospedaliera Universitaria Città della Salute e della Scienza di Torino, Torino, Italy.
Pier Luigi FilossoDepartment of Surgical Science, University of Torino, Torino, Italy.
Carlo CurcioDepartment of Thoracic Surgery, Monaldi Hospital, Napoli, Italy.
Roberto CrisciDepartment of Thoracic Surgery, University of L'Aquila, L'Aquila, Italy.
Enrico RuffiniDepartment of Surgical Science, University of Torino, Torino, Italy.
on the behalf of the Italian VATS Group
Azienda Ospedaliera Citta' della Salute e della Scienza di Torino · ITOspedale Monaldi · ITUniversity of L'Aquila · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesObesity in Europe, and worldwide, has been an increasing epidemic during the past decades. Moreover, obesity has important implications regarding technical issues and the risks associated with surgical interventions. Nevertheless, there is a lack of evidence assessing the influence of obesity on video-assisted thoracic surgery (VATS) lobectomy results. Our study aimed to assess the impact of morbid obesity on perioperative clinical and oncological outcomes after VATS lobectomy using a prospectively maintained nationwide registry.

methodsThe Italian VATS lobectomy Registry was used to collect all consecutive cases from 55 Institutions. Explored outcome parameters were conversion to thoracotomy rates, complication rates, intra-operative blood loss, surgical time, hospital postoperative length of stay, chest tube duration, number of harvested lymph-node, and surgical margin positivity.

resultsFrom 2016 to 2019, a total of 4412 patients were collected. 74 patients present morbid obesity (1.7%). Multivariable-adjusted analysis showed that morbid obesity was associated with a higher rate of complications (32.8% vs 20.3%), but it was not associated with a higher rate of conversion, and surgical margin positivity rates. Moreover, morbid obesity patients benefit from an equivalent surgical time, lymph-node retrieval, intraoperative blood loss, hospital postoperative length of stay, and chest tube duration than non-morbid obese patients. The most frequent postoperative complications in morbidly obese patients were pulmonary-related (35%).

conclusionOur results showed that VATS lobectomy could be safely and satisfactorily conducted even in morbidly obese patients, without an increase in conversion rate, blood loss, surgical time, hospital postoperative length of stay, and chest tube duration. Moreover, short-term oncological outcomes were preserved.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsObesity, MorbidBlood Loss, SurgicalHumansLength of StayMargins of ExcisionPneumonectomyPostoperative ComplicationsRegistriesRetrospective StudiesThoracic Surgery, Video-AssistedThoracotomyTreatment OutcomeLobectomyLung CancerMorbidityMortalityObesityVideo-assisted thoracic surgery

Identifiers

PMID34398283
PMCPMC9001530
OpenAlexW3195157669

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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.