ArticleJournal of cancer survivorship : research and practice2024
Cancer Survivorship at Stanford Cancer Institute.
Article in Journal of cancer survivorship : research and practice, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed, 5 citations in OpenAlex.
- BCM-MD Anderson onco-medicine track: a novel internal medicine residency pathway to strengthen the supportive cancer care workforce.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 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
12 authors at 7 institutions in 3 countries.
Funding
Abstract
The Stanford Cancer Survivorship Program is a key initiative of Stanford Cancer Institute. The program's mission is to improve the experience and outcomes of patients and family caregivers throughout all phases of the cancer trajectory by advancing survivorship research, clinical care, and education. The four pillars of the program include clinical care delivery with a focus on primary care-survivorship collaboration and expanding specialty services, education and training of healthcare professionals, transdisciplinary patient-oriented research, and community engagement. Cross-cutting areas of expertise include the following: (a) adolescents and young adults (AYAs), (b) mental health and patient self-management, (c) integration of primary care, and (d) postgraduate medical education. The clinical care model includes embedded survivorship clinics within disease groups in outpatient clinics, novel clinics designed to address unmet needs such as sexual health for women, and primary care-based faculty-led survivorship clinics for patients undergoing active cancer care requiring co-management, those who have completed active therapy and those at high risk for cancer due to genetic risk. Educational initiatives developed to date include an online course and medical textbook for primary care clinicians, a lecture series, monthly research team meetings, and rotations for medical trainees. Patient-facing activities include webinars and a podcast series designed to promote awareness, thus expanding the provision of expert-vetted information. Ongoing research focuses on oncofertility and family building after cancer, improving communication for AYAs, changing mindsets to improve quality of life through targeted digital interventions, increasing capacity to care for cancer survivors, and strengthening collaboration with community partners. IMPLICATIONS FOR CANCER SURVIVORS: Stanford's Cancer Survivorship Program includes a robust transdisciplinary and interdisciplinary research, training and clinical platform that is committed to advancing access and improving care for people living with and beyond cancer, through innovation in design and care delivery.
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.