Evidence map›Paper›PMID 31032210›Full record

ArticleAnnals of cardiothoracic surgery2019

Working towards clinical effectiveness-a multi-disciplinary approach to robotic surgery.

Anthony M Garbutt

Abstract readEditorial
In one paragraph

Article in Annals of cardiothoracic surgery, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

1 author.

Anthony M GarbuttDepartment of Nursing, Midwifery and Health, Northumbria University, Coach Lane Campus, Newcastle-Upon-Tyne, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The importance of a multi-disciplinary team (MDT) approach to conventional surgical techniques has strong empirical support. The MDT approach to robotic-assisted surgery (RAS) has not been clearly defined, which encourages prospectively poor MDT performance. Poor performance of the MDT approach, allied to the constant evolution of technology-assisted surgery, can generate unacceptable operative and patient outcomes. This review offers a nursing perspective to the complex paradigm of thoracic RAS, demonstrating key indicators to perioperative MDT engagement. This will be achieved by offering a rationale for RAS in pulmonary resection, identifying additional surgeries where utility is demonstrated. Evaluation of the available evidence will synthesize clinical quality indicators, while key strategies in effective MDT development can be summarised. Conclusively, bespoke and experiential knowledge will be shared, based upon the investigatory findings discussed throughout this article. Allied to a recommended developmental framework, this perspective should allow for transfer of knowledge, creation and replication of useful interventions. Lung cancer is an ever-increasing global concern, currently being the co-modal cancer with an estimated 2.09 million cases worldwide. Populations are ageing and with annual global costs of at least $1.16 trillion, effective treatments are required. RAS shows promise in treating large and complex lesions when compared to a video-assisted thoracoscopic surgery (VATS) approach. A critical indicator being enhanced vision and dexterity in comparison to a VATS approach. Economically, RAS has proven to be an expensive technique, however, when initial purchase costs are excluded, intra-operatively, there are ways to narrow the expense gap and make RAS cheaper. When assessing per hospital stay, exclusive of initial purchase cost, RAS is found to be cheaper than open thoracotomy. This article demonstrates that RAS for pulmonary resection has utility for complex lesions where a VATS approach would be unsuitable. Crucially, as with all complex surgery, the MDT must be performed effectively for optimum patient outcomes.

Indexed as

assistive technologyclinical effectivenessmulti-disciplinary teamworkrobotic-assisted surgery (RAS)Thoracic surgery

Identifiers

PMID31032210
PMCPMC6462554

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.