Evidence map›Paper›PMID 42882887›Full record

ReviewCancers2026

From Thoracotomy to Robotic Platforms in Thoracic Surgery: Technical Evolution, Simulation-Based Training, and Surgical Outcomes.

Michele Piazzolla, Doroty Sampietro, Marco Donatello Delcuratolo, Paolo Nicola Camillo Girotti, Lucia Anna Muscarella, Paola Parente

Abstract readReview
In one paragraph

Review in Cancers, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Michele PiazzollaUnit of Thoracic Surgery, Fondazione IRCCS Casa Sollievo Della Sofferenza, 71013 San Giovanni Rotondo, Italy.ORCID 0000-0002-3609-1587
Doroty SampietroUnit of Thoracic Surgery, Fondazione IRCCS Casa Sollievo Della Sofferenza, 71013 San Giovanni Rotondo, Italy.
Marco Donatello DelcuratoloMedical Oncology Unit, Fondazione IRCCS Casa Sollievo Della Sofferenza, 71013 San Giovanni Rotondo, Italy.
Paolo Nicola Camillo GirottiUnit of Thoracic Surgery, Fondazione IRCCS Casa Sollievo Della Sofferenza, 71013 San Giovanni Rotondo, Italy.ORCID 0000-0002-0554-5865
Lucia Anna MuscarellaLung Cancer Research Unit, Fondazione IRCCS Casa Sollievo Della Sofferenza, 71013 San Giovanni Rotondo, Italy.ORCID 0000-0002-1866-8151
Paola ParenteUnit of Pathology, Azienda Ospedaliera Universitaria Ospedali Riuniti, 71100 Foggia, Italy.ORCID 0000-0003-0591-6723

Funding

Italian Ministry of Health RF-2021-12373900
6 · The paper itself

Abstract

Thoracic surgery has progressively moved from open thoracotomy to video-assisted and robot-assisted approaches, reducing access-related trauma while changing the technical environment in which pulmonary resections are performed and taught. This narrative review examines the clinical evolution of open, video-assisted thoracic surgery (VATS), and robot-assisted thoracic surgery (RATS), with particular attention to the evidence supporting their perioperative and oncological outcomes, the learning curves associated with minimally invasive surgery, and the role of simulation-based training. Randomized trials now provide robust evidence that VATS improve postoperative recovery compared with thoracotomy in appropriately selected patients with predominantly early-stage non-small cell lung cancer, without compromising long-term oncological outcomes. Randomized comparisons between RATS and VATS support RATS as an oncologically acceptable minimally invasive alternative and suggest advantages in selected technical endpoints, particularly blood loss and lymph node retrieval, but do not demonstrate consistent superiority in major clinical or survival outcomes. Learning curves vary according to previous experience, case complexity, supervision, institutional volume, and the endpoint used to define competence, making fixed case-number thresholds an incomplete measure of proficiency. Simulation can improve selected technical skills and provide objective performance assessment, although evidence becomes progressively less robust when moving from simulator performance to operating room transfer and patient-level outcomes. Surgical approach, therefore, should be interpreted within a broader framework that includes patient and tumour characteristics, oncological quality, surgical expertise, institutional resources, and structured training.

Indexed as

learning curvenon-small cell lung cancerrobotic-assisted thoracic surgerysimulationsurgical trainingthoracic surgeryvideo-assisted thoracic surgery

Identifiers

PMID42882887
PMCPMC13664535

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.