Evidence map›Paper›PMID 34979933›Full record

ArticleBMC anesthesiology2022

Italian survey on non-intubated thoracic surgery: results from INFINITY group.

Giulio Luca Rosboch, Federica Giunta, Edoardo Ceraolo, Federico Piccioni, Francesco Guerrera, Eleonora Balzani, Alessandro Pardolesi, Paolo Albino Ferrari, Davide Tosi, Marco Rispoli and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMC anesthesiology, 2022. 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
1.8field-weighted citation impact, top 16% of its field
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, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
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  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

13 authors at 8 institutions in 1 country.

Giulio Luca RosbochDepartment of Anesthesia and Intensive Care, AOU Città della Salute e della Scienza, Torino, Italy.
Federica GiuntaDepartment of Surgical Science, Anesthesia and Intensive Care Unit, University of Turin, Via Verdi, 8 -, 10124, Torino, Italy.
Edoardo CeraoloDepartment of Anesthesia and Intensive Care, AOU Città della Salute e della Scienza, Torino, Italy.
Federico PiccioniDepartment of Critical and Supportive Care, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Francesco GuerreraDepartment of Surgical Sciences, Thoracic Surgery Unit, University of Turin, Torino, Italy.
Eleonora BalzaniDepartment of Surgical Science, Anesthesia and Intensive Care Unit, University of Turin, Via Verdi, 8 -, 10124, Torino, Italy. eleonora.balzani2@gmail.com.
Alessandro PardolesiDivision of Thoracic Surgery, Foundation IRCCS National Cancer Institute of Milan, Milan, Italy.
Paolo Albino FerrariDivision of Thoracic Surgery, A. Businco Cancer Center, Azienda Ospedaliera Brotzu, Cagliari, Italy.
Davide TosiDivision of Thoracic Surgery, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
Marco RispoliUnit of Anestesiology and Intensive Care, Vincenzo Monaldi Hospital, Naples, Italy.
Giudo Di GregorioUnit of Anestesiology and Intensive Care, ULSS6 Euganea Ospedale di Cittadella (PD), Padova, Italy.
Ruggero Massimo CorsoDepartment of Surgery, Anesthesia and Intensive Care Section, "G.B. Morgagni-Pierantoni" Hospital, Forlì, Italy.
Roberto CrisciThoracic Surgery, University of L'Aquila, L'Aquila, Italy.
University of Turin · ITAzienda Ospedaliera Citta' della Salute e della Scienza di Torino · ITAzienda Ospedaliera G. Brotzu · ITFondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico · ITFondazione IRCCS Istituto Nazionale dei Tumori · ITOspedale G.B. Morgagni - L.Pierantoni · ITOspedale Monaldi · ITUniversity of L'Aquila · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNon-Intubated Thoracic Surgery (NITS) is becoming increasingly adopted all over the world. Although it is mainly used for pleural operations,, non-intubated parenchymal lung surgery has been less frequently reported. Recently, NITS utilization seems to be increased also in Italy, albeit there are no multi-center studies confirming this finding. The objective of this survey is to assess quantitatively and qualitatively the performance of NITS in Italy.

methodsIn 2018 a web-based national survey on Non-Intubated management including both thoracic surgeons and anesthesiologists was carried out. Reference centers have been asked to answer 32 questions. Replies were collected from June 26 to November 31, 2019.

resultsWe raised feedbacks from 95% (55/58) of Italian centers. Seventy-eight percent of the respondents perform NITS but only 38% of them used this strategy for parenchymal surgery. These procedures are more frequently carried out in patients with severe comorbidities and/or with poor lung function. Several issues as obesity, previous non-invasive ventilation and/or oxygen therapy are considered contraindications to NITS. The regional anesthesia technique most used to provide intra- and postoperative analgesia was the paravertebral block (37%). Conversion to general anesthesia is not anecdotal (31% of answerers). More than half of the centers believed that NITS may reduce postoperative intensive care unit admissions. Approximately a quarter of the centers are conducting trials on NITS and, three quarters of the respondent suppose that the number of these procedures will increase in the future.

conclusionsThere is a growing interest in Italy for NITS and this survey provides a clear view of the national management framework of these procedures.

Indexed as

Health Care SurveysHumansItalyThoracic SurgeryNon-intubated thoracic surgerySurveyVideo-assisted thoracic surgery

Identifiers

PMID34979933
PMCPMC8722187
OpenAlexW4206134503

What OpenQuestion holds

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LicenceCC BY
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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.