SynthesisBMJ supportive & palliative care2024
Digital health for cancer symptom management in palliative medicine: systematic review.
Synthesis in BMJ supportive & palliative care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- Review
- Telenutrition promoting equity of access in the SUS: a descriptive study.Sao Paulo medical journal = Revista paulista de medicina · 2026Article
- Association of internet-integrated palliative care pathway assignment with recorded quality-of-life and symptom-burden scores in patients with terminal cancer: a single-center retrospective propensity score-matched cohort study.Frontiers in medicine · 2026Article
- The use of wearable sensor technology to enhance supportive care in hospitalized palliative patients (Support trial): a prospective preliminary pilot study.BMC palliative care · 2025Article
- Impact of integrative energy healing on anxiety among individuals with cancer.Bioinformation · 2025Article
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
backgroundDigital health technologies (DHTs) play a crucial role in symptom management, particularly in palliative care, by providing patients with accessible tools to monitor and manage their symptoms effectively. The aim of this systematic review was to examine and synthesise the scientific literature on DHTs for symptom management in palliative oncology care.
methodsA systematic review was conducted in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines for systematic reviews and meta-analyses from 2 June to 20 June 2024. Databases including Scopus, Web of Science, ScienceDirect, PubMed and the Cochrane Library were searched. Data were extracted using a standardised form based on the PICOTT (Population, Intervention, Comparison, Outcome, Type and Technology) framework. The quality of the included studies was assessed using the Appraisal of Guidelines for Research & Evaluation (AGREE) II tool during the selection process.
resultsThe systematic review included seven articles describing six DHTs from five countries: the UK, Kenya, Tanzania, the Netherlands and the USA. The findings of this comprehensive literature review elucidate four principal themes: the specific types of DHTs used for symptom management in palliative cancer care, their roles and advantages, as well as the factors that limit or promote their adoption by patients and healthcare professionals.
conclusionThe findings of this review give valuable insights into the ongoing discourse on integrating digital health solutions into palliative care practices, highlighting its potential role in enhancing symptom management within palliative cancer care and showcasing its possible benefits while also identifying key factors influencing their adoption among patients and healthcare professionals.
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What OpenQuestion 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 OpenQuestion graph.