ReviewBundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz2022
[Survivorship care plans for cancer patients: the importance of risk stratification, self-management and health literacy in the age of digital care].
Review in Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- General practitioners' involvement in oncological aftercare (ACTION): a study protocol for a mixed-methods study.BMC primary care · 2026Article
- Cancer survivorship in malignant melanoma.Journal der Deutschen Dermatologischen Gesellschaft = Journal of the German Society of Dermatology : JDDG · 2026Review
- Living with melanoma: a study protocol for the design and participatory development of a survivorship care programme for people with metastatic melanoma.Skin health and disease · 2026Article
- Digital and Navigational Health Literacy in Swiss Cancer Survivors Compared With the General Population: Cross-Sectional Questionnaire Study.Journal of medical Internet research · 2026Article
- Article
- The Global Landscape on the Access to Cancer Medicines for Breast Cancer: The ONCOLLEGE Experience.Cancer treatment and research · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Due to an ageing population and improved early cancer detection, medical diagnostics and oncological treatment, the number of patients who are cured or live with the disease for a long time (cancer survivors) is increasing rapidly in Germany, as in all other industrialised countries worldwide. For many patients, living with and after cancer means living with physical and psychosocial disease and treatment-related long-term and late effects. In view of demographic change, rising cancer prevalence and medical progress, one of the urgent questions is how to ensure high-quality individualised and at the same time affordable cancer care for ageing patients with multimorbidity.In addition to strengthening cancer prevention, these developments require research and implementation of individualised aftercare within the framework of survivorship care plans (SCPs). The overarching goal of SCPs is to prevent or minimise the physical and psychosocial long-term and late effects, reduce mortality and improve the patients' quality of life. The evidence on the effectiveness of SCPs in improving patient-reported endpoints is so far not clear. The provision of tailored information as well as risk-modifying and demand-orientated offers based on risk stratification are seen as central components in the implementation of SCPs. In this context, the promotion of self-management and health literacy of patients also take on a high priority against the background of the increase in digital health applications.
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.