ArticleTranslational behavioral medicine2018
A conceptual model of social networks and mechanisms of cancer mortality, and potential strategies to improve survival: an invited commentary.
Article in Translational behavioral medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed, 5 citations in OpenAlex.
- Equity in Cancer and Chronic Disease Prevention through a Multi-Pronged Network Intervention: Works-in-Progress.International journal of environmental research and public health · 2024Article
- The Integration of Value Assessment and Social Network Methods for Breast Health Navigation Among African Americans.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2023Article
- Comparing Different Interventions' Effects on Latinas' Screening Mammography Attainment and Participant-Driven Information Diffusion.Health education & behavior : the official publication of the Society for Public Health Education · 2021Article
- Cancer-Related Debt and Mental-Health-Related Quality of Life among Rural Cancer Survivors: Do Family/Friend Informal Caregiver Networks Moderate the Relationship?Journal of health and social behavior · 2020Article
Corrections and comments
- Comment on
Authors and funding
1 author at 1 institution in 1 country.
Funding
Abstract
In this article, the importance of social factors for cancer survivorship has been theoretically considered and empirically studied. This commentary and Kroenke's narrative review highlight how social network theory and methods may innovatively expand this substantive body of work. First, we add to a new understanding of cancer survivorship through: (a) discussing the delineation and differences between multiple social factors of interest across existing conceptual models; (b) characterizing their relationships to each other and to cancer survivorship through a social network lens; and (c) overall, sharing terminology and strengthening connections within this diverse body of literature. Second, we note opportunities for future research in terms of (a) simultaneous measurement of multiple social factors at different levels and (b) adaptation of designs to leverage and measure the theorized mechanisms. This commentary describes how incorporation of social network research can optimize research, practice, and policy contributions regarding cancer survival and survivorship.
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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.