Evidence map›Paper›PMID 35749161›Full record

ArticleJMIR cancer2022

Optimizing Social Support in Oncology with Digital Platforms.

Dimos Katsaros, James Hawthorne, Jay Patel, Kaitlin Pothier, Timothy Aungst, Chris Franzese

Abstract read
In one paragraph

Article in JMIR cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Article
  2. The use of social media interventions for breast cancer survivors: a narrative review.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Social Support Buffers the Effect of Social Deprivation on Comorbidity Burden in Adults with Cancer.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2024
    Article
  8. Review
  9. Review
  10. Article
  11. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Dimos KatsarosMatchstick LLC, Boonton, NJ, United States.ORCID https://orcid.org/0000-0001-8600-2696
James HawthorneMatchstick LLC, Boonton, NJ, United States.ORCID https://orcid.org/0000-0003-1963-9253
Jay PatelCollege of Pharmacy, University of Rhode Island, Kingston, RI, United States.ORCID https://orcid.org/0000-0003-4357-8534
Kaitlin PothierCollege of Pharmacy, University of Rhode Island, Kingston, RI, United States.ORCID https://orcid.org/0000-0002-4748-6787
Timothy AungstMassachusetts College of Pharmacy and Health Sciences, Worcester, MA, United States.ORCID https://orcid.org/0000-0002-6914-0218
Chris FranzeseMatchstick LLC, Boonton, NJ, United States.ORCID https://orcid.org/0000-0003-3861-0691

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increased cancer prevalence and survival rates coupled with earlier patient discharges from hospitals have created a greater need for social support. Cancer care is both short term and long term, requiring acute treatments, treatments for remission, and long-term screenings and treatment regimens. Health care systems are already overwhelmed and often struggle to provide social support systems for everyone. Caregivers are limited in number, and even when they are available, they often lack necessary information, skills, or resources to meet the needs of patients with cancer. The act of caregiving presents various challenges, and caregivers themselves often need social support as well. Despite these needs, most social support programs are targeted toward patients alone. Given the prevalence of cancer and known needs of these patients and their caregivers, the ability to identify those who need social support is crucial. Further, the scalability and overall availability of social support programs is vital for successful patient care. This paper establishes the benefits of social support for both patients and caregivers coping with cancer treatments, explores innovative ways of identifying patients who may need social support using digital tools, and reviews potential advantages of digital social support programs.

Indexed as

cancercaregiver supportchronic diseasedigital biomarkersdigital healthoncologysocial networkssocial support

Identifiers

PMID35749161
PMCPMC9270705

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.