Evidence map›Paper›PMID 38892852›Full record

ReviewJournal of clinical medicine2024

Loco-Regional Anesthesia for Pain Management in Robotic Thoracic Surgery.

Luigi La Via, Marco Cavaleri, Alberto Terminella, Massimiliano Sorbello, Giacomo Cusumano

Abstract readReview
In one paragraph

Review in Journal of clinical medicine, 2024. 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. Observational
  3. Review
  4. Article
  5. 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

5 authors.

Luigi La ViaDepartment of Anesthesia and Intensive Care, Azienda Ospedaliera Universitaria Policlinico "G. Rodolico-San Marco", 95123 Catania, Italy.ORCID 0000-0002-2156-7554
Marco CavaleriDepartment of Anesthesia and Intensive Care, Azienda Ospedaliera Universitaria Policlinico "G. Rodolico-San Marco", 95123 Catania, Italy.ORCID 0000-0001-5385-1069
Alberto TerminellaDepartment of Thoracic Surgery, Azienda Ospedaliera Universitaria Policlinico "G. Rodolico-San Marco", 95123 Catania, Italy.
Massimiliano SorbelloFaculty of Medicine and Surgery, University "Kore", 94100 Enna, Italy.ORCID 0000-0002-9331-2788
Giacomo CusumanoDepartment of Thoracic Surgery, Azienda Ospedaliera Universitaria Policlinico "G. Rodolico-San Marco", 95123 Catania, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Robotic thoracic surgery is a prominent minimally invasive approach for the treatment of various thoracic diseases. While this technique offers numerous benefits including reduced blood loss, shorter hospital stays, and less postoperative pain, effective pain management remains crucial to enhance recovery and minimize complications. This review focuses on the application of various loco-regional anesthesia techniques in robotic thoracic surgery, particularly emphasizing their role in pain management. Techniques such as local infiltration anesthesia (LIA), thoracic epidural anesthesia (TEA), paravertebral block (PVB), intercostal nerve block (INB), and erector spinae plane block (ESPB) are explored in detail regarding their methodologies, benefits, and potential limitations. The review also discusses the imperative of integrating these anesthesia methods with robotic surgery to optimize patient outcomes. The findings suggest that while each technique has unique advantages, the choice of anesthesia should be tailored to the patient's clinical status, the complexity of the surgery, and the specific requirements of robotic thoracic procedures. The review concludes that a multimodal analgesia strategy, potentially incorporating several of these techniques, may offer the most effective approach for managing perioperative pain in robotic thoracic surgery. Future directions include refining these techniques through technological advancements like ultrasound guidance and exploring the long-term impacts of loco-regional anesthesia on patient recovery and surgical outcomes in the context of robotic thoracic surgery.

Indexed as

blockepiduralerector spinae planeintercostallocal anesthesiamyasthenia gravisparavertebralthoracic surgery

Identifiers

PMID38892852
PMCPMC11172511

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.