ReviewBreast care (Basel, Switzerland)2019
Individualized eHealth Support for Oncological Therapy Management.
Review in Breast care (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Supporting colorectal cancer survivors using eHealth: a systematic review and framework suggestion.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2020Pooled it
- Review
- Diagnostic yield of follow-up in patients undergoing surgery for non-metastatic colorectal cancer.World journal of gastroenterology · 2025Article
- Biologically Based Complementary and Alternative Medicine Use in Breast Cancer Patients and Possible Drug-Drug Interactions.Breast care (Basel, Switzerland) · 2023Article
- Online Home-Based Physical Activity Counteracts Changes of Redox-Status Biomarkers and Fitness Profiles during Treatment Programs in Postsurgery Female Breast Cancer Patients.Antioxidants (Basel, Switzerland) · 2023Article
- M-Health in lung cancer: A literature review.SAGE open medicine · 2023Review
- Multilayer framework for digital multicomponent platform design for colorectal survivors and carers: a qualitative study.Frontiers in public health · 2023Article
- A Smartphone Remote Monitoring App to Follow Up Colorectal Cancer Survivors: Requirement Analysis.JMIR cancer · 2022Article
- Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
eHealth support for oncological therapy management has different faces. In addition to the direct support of therapy-supportive measures such as the promotion of physical activities, monitoring of the diet and observation of the quality of life through eHealth approaches are possible. Many solutions are now in transition between research and routine use. The most substantial evidence today is in the area of symptom monitoring. Independent studies have shown a significant survival benefit among other advantages as well. There is also a good overlap in eHealth and physical activity. More and more solutions are coming onto the market, which also has an impact for cancer patients. In the field of nutrition, there are only a few successful approaches both within and outside oncology. In contrast, the application of eHealth for the detection of disease-related malnutrition seems promising. Innovative approaches involving "artificial intelligence" or "Internet of Things" are slowly finding their place in both research and routine. For routine care, it will be necessary for doctors, nurses, and patients to know what a real medical eHealth application is and which are just lifestyle products without the needed quality for professional medical usage.
Indexed as
Identifiers
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.