Observational studyMedicine2020
Impact of bedside assistant on outcomes of robotic thyroid surgery: A STROBE-compliant retrospective case-control study.
Observational study in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.
- Learning Curves in Robotic Thyroid Surgery: A Systematic Review Comparing Transoral, Axillary, and Facelift Approaches.Journal of otolaryngology - head & neck surgery = Le Journal d'oto-rhino-laryngologie et de chirurgie cervico-facialePooled it
- Experience matters for robotic assistance: an analysis of case data.Journal of robotic surgery · 2023Article
- Improving ergonomics for the bedside assistant in robotic colorectal surgery.Journal of surgical case reports · 2023Article
- Introduction of robotic surgery does not negatively affect cardiothoracic surgery resident experience.Journal of robotic surgery · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The importance of bedside assistants has been well established in various robotic procedures. However, the effect of assistants on the surgical outcomes of thyroid surgery remains unclear. We investigated the effects of a dedicated robot assistant (DRA) in robotic thyroidectomy. We also evaluated the learning curve of the DRA.Between January 2016 and December 2019, 191 patients underwent robotic total thyroidectomy, all of which were performed by a single surgeon. The DRA participated in 93 cases, while non-dedicated assistants (NRAs) helped with 98 cases. Demographic data, pathologic data, operative times, and postoperative complications were recorded and analyzed.Robotic thyroidectomy was successful in all 191 patients, and none required conversion to the conventional open procedure. Mean operative time was shorter in the DRA group than in the NRA group (183.2 ± 33.6 minutes vs 203.1 ± 37.9 minutes; P < .001). There were no significant differences in terms of sex distribution, age, preoperative serum thyroid stimulating hormone level, or pathologic characteristics between the groups. Cumulative summation analysis showed that it took 36 cases for the DRA to significantly reduce operative time. Mean operative time decreased significantly in the subgroup including the 37th to the 93rd DRA cases compared with the subgroup including only the first 36 DRA cases (199.7 ± 37.3 minutes vs 172.8 ± 26.4 minutes; P < .001). NRA group showed no definite decrease of operation time, which indicated that the NRAs did not significantly deviate from the mean performance.Increased experience of the bedside assistant reduced operative times in the robotic thyroidectomy. Assistant training should be considered as a component of robotic surgery training programs.
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Registered trials
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.