Evidence map›Paper›PMID 32642266›Full record

ReviewJournal of thoracic disease2020

Robotic segmentectomy: indication and technique.

Gianluca Perroni, Giulia Veronesi

Abstract readReview
In one paragraph

Review in Journal of thoracic disease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Robotic Left Superior and Posterior Basal (S6+S10) Segmentectomy.Annals of thoracic surgery short reports · 2025
    Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Review
  9. Perioperative Outcome of Robotic ApproachFrontiers in oncology · 2021
    Article
  10. 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

2 authors.

Gianluca PerroniDepartment of Thoracic Surgery, Tor Vergata University, Rome, Italy.
Giulia VeronesiFaculty of Medicine and Surgery, Vita-Salute San Raffaele University, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Use of low-dose CT scan allows detection of lung cancer at early stages, enabling a more conservative surgery and a better long-term survival in those patients. In this scenario, intentional anatomical segmentectomy is gaining consent over standard lobectomy among surgeons. A minimally invasive approach such as VATS reduced invasiveness and complication rate compared to open surgery, but this technique comes also with some disadvantages in terms of dexterity and intuitiveness. Robotic surgery allows to overcome those limitations, making segmentectomies easier and safer to perform. In addition, it offers the possibility to utilize intravenous indocyanine green to define the intersegmental plane, allowing a more precise surgery. We reviewed the literature and describe the technique of the robot assisted segmentectomy with a focus on the new technologies available nowadays.

Indexed as

indocyanine green (ICG)minimally invasive thoracic surgeryroboticSegmentectomy

Identifiers

PMID32642266
PMCPMC7330783

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.