SynthesisActa obstetricia et gynecologica Scandinavica2024
Objective assessment tools in laparoscopic or robotic-assisted gynecological surgery: A systematic review.
Synthesis in Acta obstetricia et gynecologica Scandinavica, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Objective assessment tools in laparoscopic or robotic-assisted gynecological surgery: A systematic review.Acta obstetricia et gynecologica Scandinavica · 2024Pooled it
- Postoperative complication rates of surgeons during the supervised training program in robotic-assisted colorectal surgery.Journal of robotic surgery · 2025Article
- A study on the impact of short structured laparoscopy training course: Fellowship of Indian Association of Gastrointestinal Endo Surgeons.Journal of minimal access surgery · 2025Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionThere is a growing emphasis on proficiency-based progression within surgical training. To enable this, clearly defined metrics for those newly acquired surgical skills are needed. These can be formulated in objective assessment tools. The aim of the present study was to systematically review the literature reporting on available tools for objective assessment of minimally invasive gynecological surgery (simulated) performance and evaluate their reliability and validity. MATERIAL AND
methodsA systematic search (1989-2022) was conducted in MEDLINE, Embase, PubMed, Web of Science in accordance with PRISMA. The trial was registered with the Prospective Register of Systematic Reviews (PROSPERO) ID: CRD42022376552. Randomized controlled trials, prospective comparative studies, prospective single-group (with pre- and post-training assessment) or consensus studies that reported on the development, validation or usage of assessment tools of surgical performance in minimally invasive gynecological surgery, were included. Three independent assessors assessed study setting and validity evidence according to a contemporary framework of validity, which was adapted from Messick's validity framework. Methodological quality of included studies was assessed using the modified medical education research study quality instrument (MERSQI) checklist. Heterogeneity in data reporting on types of tools, data collection, study design, definition of expertise (novice vs. experts) and statistical values prevented a meaningful meta-analysis.
resultsA total of 19 746 titles and abstracts were screened of which 72 articles met the inclusion criteria. A total of 37 different assessment tools were identified of which 13 represented manual global assessment tools, 13 manual procedure-specific assessment tools and 11 automated performance metrices. Only two tools showed substantive evidence of validity. Reliability and validity per tool were provided. No assessment tools showed direct correlation between tool scores and patient related outcomes.
conclusionsExisting objective assessment tools lack evidence on predicting patient outcomes and suffer from limitations in transferability outside of the research environment, particularly for automated performance metrics. Future research should prioritize filling these gaps while integrating advanced technologies like kinematic data and AI for robust, objective surgical skill assessment within gynecological advanced surgical training programs.
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