SynthesisFrontiers in digital health2025
Electronic patient-reported outcome systems and capabilities in cancer care: a systematic review.
Synthesis in Frontiers in digital health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed.
- Quality of Life Endpoints in Advanced Gastrointestinal Cancer Trials: Systematic Review of Inclusion, Challenges, and Implications (2020-2024).Clinical oncology (Royal College of Radiologists (Great Britain)) · 2026Article
- Letter comments on: "Patient and staff experiences with an EHR-integrated symptom management program (eSyM) in oncology".Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Article
- Emerging Approaches in Breast Cancer: From Molecular Mechanisms to Diagnosis and Therapeutic Strategies.Oncology research · 2026Review
- Patient-reported Outcomes of Adverse Events After Perioperative Chemotherapy for Breast Cancer: A Prospective Observational Study.Cancer diagnosis & prognosisArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Cancer care increasingly emphasizes patient-centred approaches, leading to the adoption of electronic patient-reported outcome (ePRO) systems for essential patient data collection. Our systematic review investigates the landscape of electronic patient-reported outcome systems and their capability in cancer care, focusing on their potential to enhance patient-centred solutions. Methods: We conducted a systematic review, encompassing studies on electronic patient-reported outcomes in cancer. We searched in Scopus, Web of Science, and PubMed using comprehensive Medical Subject Heading (MeSH) terms up to April 2024. Papers were categorized based on nine key aspects, including author, publication year, country/state, objective, participants, cancer type, system name, system capabilities, and type of platform. Eligible studies were appraised using a mixed-methods appraisal tool (MMAT). Results: Analysis of 85 studies indicated a diverse range of electronic Patient-Reported Outcome systems and platforms in cancer care, Notably, PRO-CTCAE and CHES were frequently cited for their roles in data collection and analysis. Moreover, web-based platforms were predominant, followed by mobile-based and computer-based systems. In addition, Symptom assessment and management emerged as significant capabilities in the utilization of these systems for oncology care. Conclusion: Our systematic review of electronic patient-reported outcome (ePRO) systems in cancer care focused on the capabilities of these systems for capturing patient data and improving cancer treatment outcomes. This study emphasized the potential of electronic systems to enhance patient-centred oncology practices and optimize cancer care delivery.
Indexed as
Identifiers
What Socratic holds
Registered trials
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 Socratic graph.