Evidence map›Paper›PMID 36874449›Full record

ArticleFrontiers in surgery2023

Awake uniportal VATS sublobar lung resections in high-comorbidity patients: Single-center early post-operative outcomes.

Giovanni Mugnaini, Domenico Viggiano, Paolo Fontanari, Rossella Forzini, Luca Voltolini, Alessandro Gonfiotti

Abstract read
In one paragraph

Article in Frontiers in surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Lung Segmentectomy in NSCLC Surgery.Life (Basel, Switzerland) · 2023
    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

6 authors.

Giovanni MugnainiThoracic Surgery Unit, Careggi University Hospital, Florence, Italy.
Domenico ViggianoThoracic Surgery Unit, Careggi University Hospital, Florence, Italy.
Paolo FontanariDepartment of Anhestesiology and Reanimation, Careggi University Hospital, Florence, Italy.
Rossella ForziniDepartment of Anhestesiology and Reanimation, Careggi University Hospital, Florence, Italy.
Luca VoltoliniThoracic Surgery Unit, Careggi University Hospital, Florence, Italy.
Alessandro GonfiottiThoracic Surgery Unit, Careggi University Hospital, Florence, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Awake minimally invasive Uniportal Video Assisted Thoracic Surgery (U-VATS) represents the last challenge in thoracic surgery that could change the future scenario for high comorbidity patients with early-stage non-small cell lung cancer (NSCLC). We report a single center preliminary experience of awake thoracoscopic uni-portal anatomic and non-anatomic sub-lobar resections in this setting. Methods: We retrospectively analyzed data collected on a prospective database of patients undergoing U-VATS awake sub-lobar lung resections for NSCLC between September 2021 and September 2022. Inclusion criteria were clinical stage I disease; contraindication to standard lobectomy due to high respiratory function impairment; general anesthesia considered at high risk based on the American Society of Anesthesiologist score and on the Charlson Comorbidity Index. All patients underwent a standardized awake non-intubated anesthesia protocol approved by our institutional board. Results: They were Conclusion: Awake thoracic surgery is a feasible technique, and it could be performed also in high comorbidities' patients without a high rate of complications and allows to operate patients that so far were considered borderline for surgery.

Indexed as

awake thoracic surgeryminimally invasive thoracic surgerynon-intubated thoracic surgeryspontaneous breathingsublobar lung resectionsuniportal video assisted thoracic surgery

Identifiers

PMID36874449
PMCPMC9982018

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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.