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A Cost Effectiveness Analysis of Robotic Versus Laparoscopic Distal Pancreatectomy

A Cost Effectiveness Analysis of Robotic Versus Laparoscopic Distal Pancreatectomy

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT03989739
Enrollment
59
Registered
2019-06-18
Start date
2014-02-01
Completion date
2018-12-31
Last updated
2019-06-18

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Surgery

Keywords

Cost-effectiveness, Pancreatectomy, Willingness to pay, Robotic

Brief summary

This is a clinical and cost-effectiveness analysis within a retrospective comparative study of RDP and LDP conducted at Sanchinarro University Hospital from 2011 to 2017. Outcome parameters included surgical and post-operative costs, quality adjusted life years (QALY), and incremental cost per QALY gained or the incremental cost effectiveness ratio (ICER). A sensitivity analysis was carried out in order to propagate the uncertainty of the estimations to the results of the model. The investigators use a multivariate and stochastic sensitivity analysis performed by 5000 Monte Carlo simulations. The cost-effectiveness plane was used to represent all pairs of solutions of the model.

Interventions

DEVICEDa Vinci

Sponsors

Fundación de investigación HM
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
RETROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to 80 Years
Healthy volunteers
No

Inclusion criteria

* Patients (aged over 18 years) with benign or malignant mass without evidence of major vessel involvement were included. * The indication for resection was given in the context of a multidisciplinary institutional committee

Exclusion criteria

\-

Design outcomes

Primary

MeasureTime frameDescription
Quality-adjusted life years2014-2018Quality-adjusted life years
ICER2014-2018Incremental Cost-effectiveness Ratio
Costs2014-2018Direct costs

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026