Evidence map›Paper›PMID 37700203›Full record

ArticleGeneral thoracic and cardiovascular surgery2024

Learning curve of robotic surgery for lung cancer: analysis for two surgeons during the COVID-19 pandemic.

Arthur Streit, Corinne Le Reun, Savvas Lampridis, Tom Routledge, Andrea Billè

Abstract read
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In one paragraph

Article in General thoracic and cardiovascular surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 28% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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 at 2 institutions in 2 countries.

Arthur StreitDepartment of Thoracic Surgery, Guy's and St Thomas' NHS Trust Foundation, Guy's Hospital, Great Maze Pond, London, SE1 9RT, UK. arthur.streit@gmail.com.ORCID http://orcid.org/0000-0002-0064-1161
Corinne Le ReunIndependent Statistician, Sainte-Anne, Guadeloupe, France.
Savvas LampridisDepartment of Thoracic Surgery, Guy's and St Thomas' NHS Trust Foundation, Guy's Hospital, Great Maze Pond, London, SE1 9RT, UK.
Tom RoutledgeDepartment of Thoracic Surgery, Guy's and St Thomas' NHS Trust Foundation, Guy's Hospital, Great Maze Pond, London, SE1 9RT, UK.
Andrea BillèDepartment of Thoracic Surgery, Guy's and St Thomas' NHS Trust Foundation, Guy's Hospital, Great Maze Pond, London, SE1 9RT, UK. andrea.bille@gstt.nhs.uk.
Guy's Hospital · GBInstitut Pasteur de la Guadeloupe · GP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo describe and compare the RATS learning curve between two surgeons in one department for lung cancer surgery using the CUSUM method.

methodsRetrospective analysis using a prospective database on robotic-assisted lung resections performed by two different surgeons in one hospital. The CUSUM method was used to describe the learning curve.

results366 consecutives cases were analysed (195 for the first surgeon and 171 for the second surgeon). A traditional 3-phase pattern learning curve was found with a diminution of the operating time throughout the different phases. For Surgeon 1, phase 1 was from case 1 to 59, phase 2 from case 60 to 99 and phase 3 started at case 100. For Surgeon 2, phase 1 was from 1 to 44, phase 2 from case 45 to 79 and phase 3 started at case 80.

conclusionThis study described our first experience with the Da Vinci Robotic System in our department. The curves had a similar shape which shows the learning curve of robotic surgery using the CUSUM method is reproducible. Furthermore, our results showed that the learning curve may improve after the programme starts in the department when the different team elements are all trained.

Indexed as

COVID-19LaparoscopyLung NeoplasmsRobotic Surgical ProceduresSurgeonsHumansLearning CurveOperative TimePandemicsRetrospective StudiesCOVID-19Learning curveLung cancer surgeryRATS

Identifiers

PMID37700203
OpenAlexW4386704410

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.