ArticleHead & neck2026
Toward a Typology of Patients With Head and Neck Cancer: Biopsychosocial Profiles Predicting Longitudinal Quality of Life.
Article in Head & neck, 2026. 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
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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.
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Who cites it
3 citing papers in PubMed.
- Data-driven biopsychosocial profiles to inform early psycho-oncology triage in head and neck cancer : A cross-sectional cluster analysis integrating patient-reported outcomes, medical complexity, and early psychosocial care utilization in an interdisciplinary fast-track diagnostic program.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Article
- Toward a Typology of Patients With Head and Neck Cancer: Biopsychosocial Profiles Predicting Longitudinal Quality of Life.Head & neck · 2026Article
- The Self-Perpetuating Cycle of Psychological Distress and Clinical Outcomes in Head and Neck Oncology.Cancers · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
19 authors.
Funding
Abstract
backgroundQuality of life (QoL) in head and neck cancer (HNC) is influenced by complex biopsychosocial factors, yet few longitudinal studies have examined these relationships immediately post-treatment.
methodsIn this prospective study, 232 patients newly diagnosed with primary HNC completed psychometric assessments, clinical interviews, and medical chart reviews at baseline, 3, 6, and 12 months. QoL was measured using the Functional Assessment of Cancer Therapy-HNC module. A two-step cluster analysis identified distinct biopsychosocial subgroups, and mixed ANOVA tested QoL trajectories across time.
resultsThree clusters emerged: (1) early-stage disease with low treatment intensity; (2) high psychological burden and (3) advanced disease with high treatment intensity. These were associated with highest QoL, persistently lowest QoL (p < 0.001), and intermediate QoL that improved over time respectively.
conclusionsPsychological distress exerted a stronger influence on QoL than medical burden. Early identification and intervention for psychosocial risk factors may optimize recovery in HNC patients.
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