Evidence map›Paper›PMID 32627934›Full record

Observational studyBJOG : an international journal of obstetrics and gynaecology2021

The influence of learning curve of robot-assisted laparoscopy on oncological outcomes in early-stage cervical cancer: an observational cohort study.

Igt Baeten, J P Hoogendam, Hwr Schreuder, I M Jürgenliemk-Schulz, Rhm Verheijen, R P Zweemer, C G Gerestein

Abstract readObservational Study
In one paragraph

Observational study in BJOG : an international journal of obstetrics and gynaecology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Igt BaetenDivision of Imaging and Oncology, Department of Gynaecological Oncology, University Medical Centre Utrecht, Utrecht, The Netherlands.ORCID 0000-0003-0534-7778
J P HoogendamDivision of Imaging and Oncology, Department of Gynaecological Oncology, University Medical Centre Utrecht, Utrecht, The Netherlands.
Hwr SchreuderDivision of Imaging and Oncology, Department of Gynaecological Oncology, University Medical Centre Utrecht, Utrecht, The Netherlands.
I M Jürgenliemk-SchulzDivision of Imaging and Oncology, Department of Radiotherapy, University Medical Centre Utrecht, Utrecht, The Netherlands.
Rhm VerheijenDivision of Imaging and Oncology, Department of Gynaecological Oncology, University Medical Centre Utrecht, Utrecht, The Netherlands.
R P ZweemerDivision of Imaging and Oncology, Department of Gynaecological Oncology, University Medical Centre Utrecht, Utrecht, The Netherlands.
C G GeresteinDivision of Imaging and Oncology, Department of Gynaecological Oncology, University Medical Centre Utrecht, Utrecht, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the learning curve of robot-assisted laparoscopy in early-stage cervical cancer and quantify impact on oncological outcomes.

designObservational cohort study.

settingTertiary referral centre with one surgical team. POPULATION: All women with early-stage cervical cancer treated consecutively with robot-assisted laparoscopy between 2007 and 2017.

methodsWith multivariate risk-adjusted cumulative sum analysis (RA-CUSUM), we assessed the learning curve of robot-assisted laparoscopy of a single surgical team based on cervical cancer recurrence. Subsequently, a survival analysis was conducted comparing oncological outcomes of women treated during different phases of the learning curve.

main outcome measuresSurgical proficiency based on recurrence, survival rates in the different learning phases.

resultsOne hundred and sixty-five women with cervical cancer underwent robot-assisted laparoscopy, with a median follow up of 57 months (range 3-132 months). The RA-CUSUM analysis demonstrated two phases of the learning curve: a learning phase of 61 procedures (group 1) and an experienced phase representing the 104 procedures thereafter (group 2). The 5-year disease-free survival was 80.2% in group 1 and 91.1% in group 2 (P = 0.040). Both the 5-year disease-specific survival and overall survival significantly increased after the learning phase.

conclusionThe learning phase of robot-assisted laparoscopy in early-stage cervical cancer in this institutional cohort is at least 61 procedures, with higher survival rates in the women treated thereafter. The learning curve of robot-assisted laparoscopy affects oncological outcomes and warrants more attention in the design of future studies. TWEETABLE ABSTRACT: The learning curve of robot-assisted laparoscopy in early-stage cervical cancer affects oncological outcomes and warrants more attention.

Indexed as

AdultAgedAged, 80 and overClinical CompetenceFemaleHumansLaparoscopyLearning CurveMedical OncologyMiddle AgedMultivariate AnalysisRobotic Surgical ProceduresSurgeonsSurvival AnalysisTreatment OutcomeUterine Cervical NeoplasmsCervical cancerlearning curverecurrencerisk-adjusted cumulative sum analysisrobot-assisted laparoscopysurvival

Identifiers

PMID32627934
PMCPMC7818258

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Registered trials

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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.