ReviewJournal of prevention (2022)2022
Nurse's Roles in Colorectal Cancer Prevention: A Narrative Review.
Review in Journal of prevention (2022), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Effectiveness of survivorship programmes to enhance health-related quality of life of colorectal cancer survivors: a systematic review and meta-analysis of randomised controlled trials.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Pooled it
- Specialized Nursing-Led Interventions for Bladder Cancer Management: A Scoping Review of Evidence and Clinical Outcomes.Medicina (Kaunas, Lithuania) · 2026Review
- Knowledge, attitudes, and practices of nurses regarding bowel preparation for colonoscopy: a structural equation modeling analysis.Frontiers in public health · 2026Article
- Development of a Heart Failure Palliative Care Educational Program for Nurses: A Multi-Method Approach.Iranian journal of nursing and midwifery researchArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The objective of this paper is to investigate the different roles of nurses as members of healthcare teams at the primary, secondary, and tertiary levels of colorectal cancer prevention. The research team conducted a narrative review of studies involving the role of nurses at different levels of colorectal cancer prevention, which included a variety of quantitative, qualitative, and mixed-method studies. We searched PubMed, Scopus, Web of Science, Cochrane Reviews, Magiran, the Scientific Information Database (SID), Noormags, and the Islamic Science Citation (ISC) databases from ab initio until 2021. A total of 117 studies were reviewed. Nurses' roles were classified into three levels of prevention. At the primary level, the most important role related to educating people to prevent cancer and reduce risk factors. At the secondary level, the roles consisted of genetic counseling, stool testing, sigmoidoscopy and colonoscopy, biopsy and screening test follow-ups, and chemotherapy intervention, while at the tertiary level, their roles were made up of pre-and post-operative care to prevent further complications, rehabilitation, and palliative care. Nurses at various levels of prevention care also act as educators, coordinators, performers of screening tests, follow-up, and provision of palliative and end-of-life care. If these roles are not fulfilled at some levels of colorectal cancer, it is generally due to the lack of knowledge and competence of nurses or the lack of instruction and legal support for them. Nurses need sufficient clinical knowledge and experience to perform these roles at all levels.
Indexed as
Identifiers
36001253What 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.