Evidence map›Paper›PMID 39015457›Full record

ArticleJTCVS open2024

National trends, safety, and effectiveness of minimally invasive concomitant chest wall resection for locally advanced lung cancer.

Shawn Purnell, Ayham Odeh, Richard Freeman, Wissam Raad, Elliot Servais, Zaid Abdelsattar

Abstract read
In one paragraph

Article in JTCVS open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Minimally invasiveTranslational lung cancer research · 2025
    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

6 authors.

Shawn PurnellStritch School of Medicine, Loyola University Chicago, Chicago, Ill.
Ayham OdehStritch School of Medicine, Loyola University Chicago, Chicago, Ill.
Richard FreemanStritch School of Medicine, Loyola University Chicago, Chicago, Ill.
Wissam RaadStritch School of Medicine, Loyola University Chicago, Chicago, Ill.
Elliot ServaisDepartment of Thoracic and Cardiovascular Surgery, Lahey Hospital & Medical Center, Burlington, Mass.
Zaid AbdelsattarStritch School of Medicine, Loyola University Chicago, Chicago, Ill.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Concomitant chest wall resection for locally advanced lung cancer is traditionally performed via an open approach. The safety and effectiveness of minimally invasive approaches for chest wall resections are unknown. Methods: We used the National Cancer Database to identify patients undergoing lobectomy/bi-lobectomy with concomitant chest wall resection from 2010 to 2020. We stratified patients into those undergoing a minimally invasive resection (video-assisted thoracoscopic surgery [VATS]/robotic) or open, while accounting for conversions. We also compared VATS with robotic approaches. The main outcomes were length of stay, mortality, readmissions, and overall survival. We used multivariable, Kaplan-Meier and Cox proportional models to identify associations. Results: Of 2837 patients, 756 procedures (26.6%) were started minimally invasive, of which 23.1% were robotic. There were 237 (31.3%) conversions. Patients undergoing a minimally invasive operation were similar in terms of age (65.2 ± 9.8 years vs 66.0 ± 9.9 years), sex, race, tumor histology, and location (all Conclusions: The use of minimally invasive approaches to concomitant chest wall resection is increasing. Although conversions to open are common, this approach is safe and is associated with shorter hospital stays. Overall survival is equivalent to the open approach.

Indexed as

chest wall invasionconcomitant resectionlung cancerminimally invasive

Identifiers

PMID39015457
PMCPMC11247227

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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.