ArticleNarra J2023
Treatment acceptance and its associated determinants in cancer patients: A systematic review.
Article in Narra J, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed, 5 citations in OpenAlex.
- The impact of whole-process visualization collaborative nursing discussions education on perioperative symptoms and emotional well-being in radical prostatectomy patients.International urology and nephrology · 2024Trial
- Impact of oncology review meetings on second opinions for patients with gastrointestinal cancer.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025Article
- Neutralizing antibodies and safety of a COVID-19 vaccine against SARS-CoV-2 wild-type and Omicron variants in solid cancer patients.PloS one · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Treatment recommendations for cancer patients are carried out according to clinical assessment, type and stage of cancer and treatment guidelines. However, many patients do not accept the recommendations. This raises obstacles in managing of cancers, which not only affects the patients, but also the family and people around the patients. This problem could increase morbidity, mortality and recurrence rate, which might result in lower quality of life. Since this condition is a complex problem, there is necessity to explore and determine various determinants from different levels. The aim of this systematic review was to explore the acceptances of cancer treatments among cancer patients and its associated determinants. Articles published from 2010 to 2023 were searched in four databases: ScienceDirect, Medline, Google Scholar and PubMed. Articles written in English and focussing on three main cancer treatments (surgery, chemotherapy and radiotherapy) were eligible. A narrative approach was used and the data were analysed into selected themes. Data suggest that several factors influence patient acceptance for cancer therapy including sociodemographic, economic and spiritual cultural backgrounds; patient knowledge and perceptions; community support, as well as policy and availability of health facilities. The determinants consist of individual, interpersonal, institutional, community and public policy level and interaction between levels are contributing to cancer treatment acceptance. In conclusion, cancer treatment acceptance remains a problem in particular in low middle income countries. In addition, the data on radiotherapy referral acceptance were limited and needed further study.
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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.