Evidence map›Paper›PMID 31531753›Full record

SynthesisJournal of robotic surgery2020

Learning curve for robotic surgery in children: a systematic review of outcomes and fellowship programs.

Luca Pio, Layla Musleh, Irene Paraboschi, Angela Pistorio, Guglielmo Mantica, Pauline Clermidi, Lorenzo Leonelli, Girolamo Mattioli, Sabine Sarnacki, Thomas Blanc

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Journal of robotic surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
5.1field-weighted citation impact, top 5% 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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it, 32 citations in OpenAlex.

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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

10 authors at 4 institutions in 3 countries.

Luca PioDepartment of Pediatric Surgery, Necker Enfants-Malades Hospital, Paris, France.
Layla MuslehPediatric Surgery Unit, Istituto Giannina Gaslini, Genoa, Italy.
Irene ParaboschiPediatric Surgery Unit, Istituto Giannina Gaslini, Genoa, Italy.
Angela PistorioEpidemiology and Biostatistics Service, Istituto Giannina Gaslini, Genoa, Italy.
Guglielmo ManticaDepartment of Urology, Policlinico San Martino Hospital, University of Genoa, Genoa, Italy. guglielmo.mantica@gmail.com.ORCID http://orcid.org/0000-0003-4361-4523
Pauline ClermidiDepartment of Pediatric Surgery, Necker Enfants-Malades Hospital, Paris, France.
Lorenzo LeonelliDepartment of Pediatric Surgery, Necker Enfants-Malades Hospital, Paris, France.
Girolamo MattioliPediatric Surgery Unit, Istituto Giannina Gaslini, Genoa, Italy.
Sabine SarnackiDepartment of Pediatric Surgery, Necker Enfants-Malades Hospital, Paris, France.
Thomas BlancDepartment of Pediatric Surgery, Necker Enfants-Malades Hospital, Paris, France.
Délégation Paris 5 · FRIstituto Giannina Gaslini · ITInstitut Necker Enfants Malades · FRMartin University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The learning curve (LC) of a new technique is fundamental for its application and assessment, and for the training. Literature was analysed to define the LCs of different surgical procedures and the impact of fellowship programs. MEDLINE, EMBASE and paediatric surgical journals' databases from January 1995 to December 2018 were systematically analysed. Two independent residents sought for articles providing description of robotic-assisted procedures' LCs in paediatric age/population. Seventeen articles were selected, describing LC of robotic-assisted pyeloplasty (n = 9), fundoplication (n = 4), cholecystectomy (n = 2), choledochal cyst resection (n = 1) and lingual tonsillectomy (n = 1), with 721 procedures. Ten studies refer to one single surgeon; six to more than one; one does not specify the number of operators. Eleven studies are unicentric retrospective, two multicentric retrospective, three prospective and one is a comparative analysis between a retrospective case series and a prospective cohort. The most recruited parameter is operative time alone in 3 articles, associated with complications in 12, length of hospital stay in 6, blood loss in 3, resolution in 4 and narcotic use in 2. The LC is described as impacting procedural planning (n = 17), training (n = 9) and economic costs (n = 2). To date, operative time is the most reported outcome to measure LC and proficiency. Efforts are needed to consider measures of surgical expertise and patient status. Robotic training should be standardized on targeted programs planned upon well-defined LCs.

Indexed as

Educational MeasurementEducation, MedicalFellowships and ScholarshipsLearning CurveOperative TimeAdolescentBlood Loss, SurgicalChildChild, PreschoolFemaleHumansInfantLength of StayMaleNarcoticsRobotic Surgical ProceduresNarcoticsChildrenLearning curvePaediatricRobotic surgerySurgical training

Identifiers

PMID31531753
OpenAlexW2973675526

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.