Evidence map›Paper›PMID 36413256›Full record

SynthesisJournal of robotic surgery2023

The effect of bedside assistant technical performance on outcomes in robotic surgery.

James K Hazen, Daniel J Scott, Carla N Holcomb

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Journal of robotic surgery, 2023. 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.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 19% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
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

3 authors at 1 institution in 1 country.

James K HazenDivision of Bariatric and Foregut Surgery, Department of Surgery, University of Texas Southwestern, 5323 Harry Hines Blvd, Dallas, TX, 75390-9158, USA.
Daniel J ScottDivision of Bariatric and Foregut Surgery, Department of Surgery, University of Texas Southwestern, 5323 Harry Hines Blvd, Dallas, TX, 75390-9158, USA.
Carla N HolcombDivision of Bariatric and Foregut Surgery, Department of Surgery, University of Texas Southwestern, 5323 Harry Hines Blvd, Dallas, TX, 75390-9158, USA. Carla.Holcomb@utsouthwestern.edu.
The University of Texas Southwestern Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Technical performance in surgery has been associated with patient outcomes. Robotic surgery is unique in that both a console surgeon and bedside surgeon are required. A systematic review according to PRISMA guidelines identified all pertinent literature regarding skill level of the bedside assistant with regards to patient outcomes in robotic surgery. 10 studies met inclusion criteria. In all studies, the skill level of the assistant was based on experience, either by post-graduate year of the resident or number of cases previously performed by the assistant. Five studies reported significant, shorter operative times with increasing experience of the bedside assistant. No study reported a significant difference in postoperative outcomes. The existing literature fails to show improved patient outcomes with more experienced bedside assistants in robotic surgery. Metrics should be developed to measure actual technical performance of the bedside assistant rather than using arbitrary assessments of experience in future studies.

Indexed as

Robotic Surgical ProceduresSurgeonsHumansOperative TimeRetrospective StudiesBedside assistantOutcomesRobotic surgerySkill

Identifiers

PMID36413256
OpenAlexW4309664032

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.