Evidence map›Paper›PMID 37289337›Full record

ArticleJournal of robotic surgery2023

Surgical outcomes and cost analysis of a multi-specialty robotic-assisted surgery caseload in the Australian public health system.

Daniel Steffens, Kate E McBride, Nicholas Hirst, Michael J Solomon, Teresa Anderson, Ruban Thanigasalam, Scott Leslie, Sascha Karunaratne, Paul G Bannon

Open access · hybridAbstract read
In one paragraph

Article 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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

7 citing papers in PubMed, 11 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

9 authors at 3 institutions in 1 country.

Daniel SteffensRPA Institute of Academic Surgery (IAS), Royal Prince Alfred Hospital and University of Sydney, Missenden Road, PO Box M40, Sydney, NSW, 2050, Australia.
Kate E McBrideRPA Institute of Academic Surgery (IAS), Royal Prince Alfred Hospital and University of Sydney, Missenden Road, PO Box M40, Sydney, NSW, 2050, Australia. kate.mcbride@health.nsw.gov.au.
Nicholas HirstRPA Institute of Academic Surgery (IAS), Royal Prince Alfred Hospital and University of Sydney, Missenden Road, PO Box M40, Sydney, NSW, 2050, Australia.
Michael J SolomonRPA Institute of Academic Surgery (IAS), Royal Prince Alfred Hospital and University of Sydney, Missenden Road, PO Box M40, Sydney, NSW, 2050, Australia.
Teresa AndersonRPA Institute of Academic Surgery (IAS), Royal Prince Alfred Hospital and University of Sydney, Missenden Road, PO Box M40, Sydney, NSW, 2050, Australia.
Ruban ThanigasalamRPA Institute of Academic Surgery (IAS), Royal Prince Alfred Hospital and University of Sydney, Missenden Road, PO Box M40, Sydney, NSW, 2050, Australia.
Scott LeslieRPA Institute of Academic Surgery (IAS), Royal Prince Alfred Hospital and University of Sydney, Missenden Road, PO Box M40, Sydney, NSW, 2050, Australia.
Sascha KarunaratneRPA Institute of Academic Surgery (IAS), Royal Prince Alfred Hospital and University of Sydney, Missenden Road, PO Box M40, Sydney, NSW, 2050, Australia.
Paul G BannonRPA Institute of Academic Surgery (IAS), Royal Prince Alfred Hospital and University of Sydney, Missenden Road, PO Box M40, Sydney, NSW, 2050, Australia.
Royal Prince Alfred Hospital · AUBaird Institute · AUUniversity of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to compare surgical outcomes and in-hospital cost between robotic-assisted surgery (RAS), laparoscopic and open approaches for benign gynaecology, colorectal and urological patients and to explore the association between cost and surgical complexity. This retrospective cohort study included consecutive patients undergoing RAS, laparoscopic or open surgery for benign gynaecology, colorectal or urological conditions between July 2018 and June 2021 at a major public hospital in Sydney. Patients' characteristics, surgical outcomes and in-hospital cost variables were extracted from the hospital medical records using routinely collected diagnosis-related groups (DRG) codes. Comparison of the outcomes within each surgical discipline and according to surgical complexity were performed using non-parametric statistics. Of the 1,271 patients included, 756 underwent benign gynaecology (54 robotic, 652 laparoscopic, 50 open), 233 colorectal (49 robotic, 123 laparoscopic, 61 open) and 282 urological surgeries (184 robotic, 12 laparoscopic, 86 open). Patients undergoing minimally invasive surgery (robotic or laparoscopic) presented with a significantly shorter length of hospital stay when compared to open surgical approach (P < 0.001). Rates of postoperative morbidity were significantly lower in robotic colorectal and urological procedures when compared to laparoscopic and open approaches. The total in-hospital cost of robotic benign gynaecology, colorectal and urological surgeries were significantly higher than other surgical approaches, independent of the surgical complexity. RAS resulted in better surgical outcomes, especially when compared to open surgery in patients presenting with benign gynaecology, colorectal and urological diseases. However, the total cost of RAS was higher than laparoscopic and open surgical approaches.

Indexed as

Colorectal NeoplasmsLaparoscopyRobotic Surgical ProceduresAustraliaHospital CostsHumansPostoperative ComplicationsPublic HealthRetrospective StudiesTreatment OutcomeBenign GynaecologyColorectalCostRobotic-Assisted SurgerySurgical outcomesUrology

Identifiers

PMID37289337
PMCPMC10492768
OpenAlexW4379769362

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.