The Patient-Reported Information Multidimensional Exploration (PRIME) framework for investigating emotions and other factors of prostate cancer patients with low intermediate risk based on online cancer support group discussions
Abstract
Background This study aimed to use the Patient Reported Information Multidimensional Exploration (PRIME) framework, a novel ensemble of machine-learning and deep-learning algorithms, to extract, analyze, and correlate self-reported information from Online Cancer Support Groups (OCSG) by patients (and partners of patients) with low intermediate-risk prostate cancer (PCa) undergoing radical prostatectomy (RP), external beam radiotherapy (EBRT), and active surveillance (AS), and to investigate its efficacy in quality-of-life (QoL) and emotion measures. Methods From patient-reported information on 10 OCSG, the PRIME framework automatically filtered and extracted conversations on low intermediate-risk PCa with active user participation. Side effects as well as emotional and QoL outcomes for 6084 patients were analyzed. Results Side-effect profiles differed between the methods analyzed, with men after RP having more urinary and sexual side effects and men after EBRT having more bowel symptoms. Key findings from the analysis of emotional expressions showed that PCa patients younger than 40 years expressed significantly high positive and negative emotions compared with other age groups, that partners of patients expressed more negative emotions than the patients, and that selected cohorts ( 70 years, partners of patients) have frequently used the same terms to express their emotions, which is indicative of QoL issues specific to those cohorts. Conclusion Despite recent advances in pa…
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This kind of intervention fills a previously unmet need.
“this kind of intervention fills a previously unmet need [55].”
From Empathic AI for Patient-Centered Cancer Care: A Scoping Review of Patient Navigation, Support, and Clinical Practice (2026) · cites this paper as [55]
Teen and young adult patients with cancer typically experience heightened anxiety and depression posttreatment completion.
“As this age group typically experiences heightened anxiety and depression posttreatment completion”
From Empathic AI for Patient-Centered Cancer Care: A Scoping Review of Patient Navigation, Support, and Clinical Practice (2026) · cites this paper as [55]
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De Silva, D., Ranasinghe, W., Bandaragoda, T., Adikari, A., Mills, N., Iddamalgoda, L., Alahakoon, D., Lawrentschuk, N., Persad, R., Osipov, E., et al. (2018) · PLOS ONE · doi:10.1371/journal.pone.0205855 · Cited by 86 · see citing works
Self-citationAdikari, A., de Silva, D., Moraliyage, H., Alahakoon, D., Wong, J., Gancarz, M., Chackochan, S., Park, B., Heo, R., & Leung, Y. (2022) · Future Generation Computer Systems · doi:10.1016/j.future.2021.08.015 · Cited by 71 · see citing works
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“As this age group typically experiences heightened anxiety and depression posttreatment completion, this kind of intervention fills a previously unmet need [55].”
- Authors
- Bandaragoda, T., Ranasinghe, W., Adikari, A., de Silva, D., Lawrentschuk, N., Alahakoon, D., Persad, R., & Bolton, D.
- Affiliations
- La Trobe University (AU)
- Austin Hospital (AU)
- North Bristol NHS Trust (GB)
- ORCID
- Venue
- Annals of Surgical Oncology
- Published
- 2018-02-21
- Volume
- 25
- Issue
- 6
- Pages
- 1737-1745
- ISSN
- 1068-9265 (ISSN-L)
- 1534-4681
- OpenAlex
- W2793389659
- Cited by
- 29
- References
- 4
- Citations by year
- 2026: 1 · 2025: 5 · 2024: 2 · 2023: 2 · 2022: 3 · 2021: 3 · 2020: 6 · 2018: 7
- FWCI
- 1.50
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Annals of Surgical Oncology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Oncology › Cancer survivorship and care
- Physical Sciences › Computer Science › Artificial Intelligence › Sentiment Analysis and Opinion Mining
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Prostate Cancer Diagnosis and Treatment
- Keywords
- prostate cancer, low-intermediate risk prostate cancer, patient emotions, quality of life, radical prostatectomy, external beam radiotherapy, active surveillance, bowel symptoms, patient partners, young men
- MeSH terms
- Deep Learning, Adult, Age Factors, Aged, Algorithms, Emotions, Humans, Male, Middle Aged, Prostatectomy, Prostatic Neoplasms, Quality of Life, Radiotherapy, Risk Factors, Self-Help Groups, Spouses, Internet, Self Report, Watchful Waiting
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