Digital application developed to evaluate functional results following robot-assisted radical prostatectomy

Faria, Leandro Freitas; Reis, Sabrina T.; Leite, Kátia R. M.; Cruz, José Arnaldo Shiomi da; Pimenta, Ruan; Viana, Nayara; Amaral, Gabriela Q.; Santos, Gabriel Almeida; Ilias, Daniel; Fakhouri, Felipe; Xavier, Geraldo; Srougi, Miguel; Passerotti, Carlo C.

doi:10.1016/j.cmpb.2020.105683

Cited by 10 publications

(12 citation statements)

References 20 publications

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“…Eligible studies also compared mobile application‐based approaches with traditional paper and pencil approaches to capturing patient‐reported outcomes. Faria et al compared the impact of a mobile application‐based symptom monitoring system on postop monitoring response rates, compared to conventional print questionnaires 10 . Response rates were six times higher for the app‐based program when compared to print questionnaires 10 .…”

Section: Resultsmentioning

confidence: 99%

Integrative review of remote patient monitoring in gynecologic and urologic surgical oncology

Pérez

Nolde

Crane

et al. 2023

Journal of Surgical Oncology

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Patients with cancer facing complex and invasive urologic and gynecologic cancer surgery often experience symptoms and rapid declines in functional capacity postoperatively. Remote patient monitoring that leverages patient‐generated health data is a potential approach to assess and promote postoperative recovery. This integrative review aims to provide an overview of the current literature and research on remote patient monitoring in gynecologic and urologic surgical oncology.

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Section: Resultsmentioning

confidence: 99%

Integrative review of remote patient monitoring in gynecologic and urologic surgical oncology

Pérez

Nolde

Crane

et al. 2023

Journal of Surgical Oncology

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“…However, a randomized trial of an mHealth application for evaluation of postoperative functional assessment after radical prostatectomy also demonstrated a significantly higher response rate to electronically administered questionnaires than paper in a larger postsurgical population. 21 Despite its potential to improve outcomes, the time and clerical burden of reviewing patient-generated symptom and biometric data are also significant.…”

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Mobile Postoperative Symptom Intervention Tool and Biometric Monitoring After Radical Cystectomy: Pilot Study Evaluating Feasibility, Usability, and Potential Utility

et al. 2023

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Purpose: Mobile health technology and integration of patient-reported outcome measures into clinical interventions have the potential to transform patient care. Though patient-reported outcome measure management has been shown to improve outcomes in ambulatory care settings, few studies have examined remote patient-reported outcome measure assessment after major cancer surgery. Materials and Methods: A multiphased feasibility and usability study was designed. A mobile app-based postoperative symptom intervention tool was developed and evaluated by a focus group of bladder cancer patients and caregivers. Patients were prospectively accrued prior to cystectomy and asked to complete the daily mobile postoperative symptom intervention tool and wear biometric monitoring devices for 30 days post discharge. Retention, postoperative symptom intervention tool completion, and usability were assessed. Exploratory analysis of daily symptoms and patient-generated health information correlated signals with postsurgical complications and hospital readmission. Results: Fifteen patients with a median age of 72 years completed 78% of daily surveys over the 30-day recovery period. Average time to complete the postoperative symptom intervention tool was 152 seconds. All patients agreed that the daily survey was easy to use, and most reported it would be a better way to communicate with the care team about symptoms than calling the clinic. Frequency and severity of patient-reported symptoms appeared to cluster prior to or at the time of complication or unplanned health care encounters on visual-analogue mapping. Conclusions: Using smartphone and wearable technology to capture patientreported symptoms and biometric data is feasible and rated as highly usable by bladder cancer patients after cystectomy. Symptom scores may signal developing complications and help clinicians identify postsurgical patients who may benefit from intervention.

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“…Although improvements in treatment have greatly increased the survival of PCa patients (26)(27)(28)(29), survival and quality of life deteriorate significantly once BCR occurs (30). More regrettably, it is unavoidable that approximately 50% of high-risk PCa patients experience BCR despite active treatment (31).…”

Section: Discussionmentioning

confidence: 99%

A Novel Risk Factor Model Based on Glycolysis-Associated Genes for Predicting the Prognosis of Patients With Prostate Cancer

et al. 2021

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BackgroundProstate cancer (PCa) is one of the most prevalent cancers among males, and its mortality rate is increasing due to biochemical recurrence (BCR). Glycolysis has been proven to play an important regulatory role in tumorigenesis. Although several key regulators or predictors involved in PCa progression have been found, the relationship between glycolysis and PCa is unclear; we aimed to develop a novel glycolysis-associated multifactor prediction model for better predicting the prognosis of PCa.MethodsDifferential mRNA expression profiles derived from the Cancer Genome Atlas (TCGA) PCa cohort were generated through the “edgeR” package. Glycolysis-related genes were obtained from the GSEA database. Univariate Cox and LASSO regression analyses were used to identify genes significantly associated with disease-free survival. ROC curves were applied to evaluate the predictive value of the model. An external dataset derived from Gene Expression Omnibus (GEO) was used to verify the predictive ability. Glucose consumption and lactic production assays were used to assess changes in metabolic capacity, and Transwell assays were used to assess the invasion and migration of PC3 cells.ResultsFive glycolysis-related genes were applied to construct a risk score prediction model. Patients with PCa derived from TCGA and GEO (GSE70770) were divided into high-risk and low-risk groups according to the median. In the TCGA cohort, the high-risk group had a poorer prognosis than the low-risk group, and the results were further verified in the GSE70770 cohort. In vitro experiments demonstrated that knocking down HMMR, KIF20A, PGM2L1, and ANKZF1 separately led to less glucose consumption, less lactic production, and inhibition of cell migration and invasion, and the results were the opposite with GPR87 knockdown.ConclusionThe risk score based on five glycolysis-related genes may serve as an accurate prognostic marker for PCa patients with BCR.

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Digital application developed to evaluate functional results following robot-assisted radical prostatectomy

Cited by 10 publications

References 20 publications

Integrative review of remote patient monitoring in gynecologic and urologic surgical oncology

Integrative review of remote patient monitoring in gynecologic and urologic surgical oncology

Mobile Postoperative Symptom Intervention Tool and Biometric Monitoring After Radical Cystectomy: Pilot Study Evaluating Feasibility, Usability, and Potential Utility

A Novel Risk Factor Model Based on Glycolysis-Associated Genes for Predicting the Prognosis of Patients With Prostate Cancer

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