ArticleSeminars in oncology nursing2023
Symptom Cluster Experiences of Patients Operated for Oral Cancer: A Mixed Methods Study.
Article in Seminars in oncology nursing, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed, 10 citations in OpenAlex.
- Changes in postoperative symptom communities and network structure in patients with oral squamous cell carcinoma: A four-time-point study.Asia-Pacific journal of oncology nursing · 2026Article
- Social determinants of health as predictors of latent symptom clusters in patients undergoing maintenance hemodialysis: A secondary analysis of the HOPE consortium randomized trial.The journal of pain · 2026Article
- A mixed-method study of identifying symptom clusters in adult patients with advanced cancer.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Article
- "When symptoms interact and change": longitudinal network analysis of dynamic symptom changes in oral cancer patients.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Article
- Dynamic changes in symptom clusters and their influencing factors in oral cancer patients throughout the treatment cycle: a longitudinal study based on principal component analysis and linear mixed-effects modeling.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Article
- Application of the Plan-Do-Check-Act Cycle in Reducing the Incidence of Dysphagia in Oral Cancer Patients After Radical Surgery.Journal of multidisciplinary healthcare · 2026Article
- Standardized nutritional screening and assessment for nasopharyngeal cancer patients: an evidence-based implementation project.BMC nursing · 2025Article
- Experiences of the fatigue-pain-sleep disturbance symptom cluster among patients with lung cancer: A descriptive qualitative study.Asia-Pacific journal of oncology nursing · 2025Article
- Identification of symptom clusters and sentinel symptoms in preoperative patients with oral and maxillofacial cancers: A cross-sectional study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025Article
- Bridging Gaps in Cancer Screening Research: A Call for Methodological Precision.Asian Pacific journal of cancer prevention : APJCP · 2025Article
- Core preoperative symptoms and patients' symptom experiences in oral cancer: a mixed-methods study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025Article
- Article
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 3 institutions in 2 countries.
Funding
Abstract
objectiveThis convergent mixed methods study aimed to obtain a comprehensive understanding of symptom cluster experiences in patients with oral cancer. Survey and phenomenological interviews were conducted in parallel to identify distinct patient subgroups based on symptom cluster experiences along with their predictors and explore experiences of living with symptom clusters, respectively. DATA SOURCES: A convenience sample of 300 patients with oral cancer who had completed surgery provided the quantitative data, and a maximum variation purposive subsample of 20 participants, drawn from the survey sample, provided the qualitative data. Agglomerative hierarchical cluster analysis was used to identify subgroups, multivariate analyses were done to identify predictors, and thematic analysis was used for patient narratives.
conclusionAlmost 94% of the survey participants had two or more co-occurring symptoms. The four most severe and prevalent symptoms were dysphagia, problems with teeth or gums, speech difficulty, and dry mouth. A distinct subgroup consisting of 61% of patients reported severe dysphagia and teeth problems, which was associated with age, oral cancer stage and site. Interviews revealed the causes and the context influencing the perception and response to these symptoms. Thus, the quantitative data provided information on severity and patient subgroups based on symptom cluster experiences, while the qualitative data validated these conclusions and additionally provided in-depth details and meaningful insight on perceived causes and contextual influences of their experiences. This comprehensive picture of symptom cluster experiences can aid in the development of patient-centered interventions for people with oral cancer. IMPLICATIONS FOR NURSING PRACTICE: An interdisciplinary approach to targeting concurrent symptoms incorporating psychological and physical interventions is necessary. Older patients treated for Stage IV cancers and for buccal mucosa tumors are at high-risk of having severe dysphagia postoperatively, and these patients should be targeted for dysphagia interventions. The contextual factors play an important role in developing patient-centered interventions.
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.