ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2018
Predictive model of complexity in early palliative care: a cohort of advanced cancer patients (PALCOM study).
Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.
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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
23 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- A systematic review of the assessment model for palliative care needs in cancer patients.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Pooled it
- A systematic review of classifications systems to determine complexity of patient care needs in palliative care.Palliative medicine · 2021Pooled it
- Primary or specialist care at home: multicenter validation study of the "CP.BA.SPE 2025" questionnaire for the identification of the level of palliative care in advanced cancer patients.BMC palliative care · 2026Article
- Validation of a questionnaire to assess complexity of palliative care needs in primary care in Malaga, Spain: a study protocol.BMJ open · 2025Article
- Difference in the level of complexity assessed on patients with advanced cancer referred to a hospital-based palliative care unit by multidisciplinary teams and wards: a retrospective study.BMC health services research · 2025Observational
- Article
- Translation and Cross-Cultural Adaptation of the Instrument for the Diagnosis of the Complexity of Palliative Care Needs.Palliative medicine reports · 2025Article
- Australian Palliative Care Outcome Collaboration (PCOC) phases: cross cultural adaptation and psychometric validation for Polish palliative settings.BMC palliative care · 2024Article
- Organisation and management of multi-professional care for cancer patients at end-of-life: state-of-the-art from a survey to community and hospital-based professionals.Research in health services & regions · 2024Article
- Article
- Validation Study of the PALCOM Scale of Complexity of Palliative Care Needs: A Cohort Study in Advanced Cancer Patients.Cancers · 2023Article
- When to initiate early palliative care? Challenges faced by healthcare providers.Frontiers in medicine · 2023Article
- Prevalence and clinical characteristics of patients with Advanced Chronic Illness and Palliative Care needs, identified with the NECPAL CCOMS-ICO© Tool at a Tertiary Care Hospital.BMC palliative care · 2022Article
- Consultations' demand for a hospital palliative care unit: how to increase appropriateness? Implementing and evaluating a multicomponent educational intervention aimed at increase palliative care complexity perception skill.BMC palliative care · 2022Article
- Palliative care models for patients living with advanced cancer: a narrative review for the emergency department clinician.Emergency cancer care · 2022Review
- Impact of individualized management of breakthrough cancer pain on quality of life in advanced cancer patients: CAVIDIOPAL study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2021Article
- Prevalence of ethical dilemmas in advanced cancer patients (secondary analysis of the PALCOM study).Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2021Article
- A scoping Review of tools used to assess patient Complexity in rheumatic disease.Health expectations : an international journal of public participation in health care and health policy · 2021Article
- Assessing Face Validity of the HexCom Model for Capturing Complexity in Clinical Practice: A Delphi Study.Healthcare (Basel, Switzerland) · 2021Article
- Level of Palliative Care Complexity in Advanced Cancer Patients: A Multinomial Logistic Analysis.Journal of clinical medicine · 2020Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
proposalModel of early palliative care (PC) integrated in oncology is based on shared care from the diagnosis to the end of life and is mainly focused on patients with greater complexity. However, there is no definition or tools to evaluate PC complexity. The objectives of the study were to identify the factors influencing level determination of complexity, propose predictive models, and build a complexity scale of PC. PATIENTS AND
methodWe performed a prospective, observational, multicenter study in a cohort of advanced cancer patients with an estimated prognosis ≤ 6 months. An ad hoc structured evaluation including socio-demographic and clinical data, symptom burden, functional and cognitive status, psychosocial problems, and existential-ethic dilemmas was recorded systematically. According to this multidimensional evaluation, investigator classified patients as high, medium, or low palliative complexity, associated to need of basic or specialized PC. Logistic regression was used to identify the variables influencing determination of level of PC complexity and explore predictive models.
resultsWe included 324 patients; 41% were classified as having high PC complexity and 42.9% as medium, both levels being associated with specialized PC. Variables influencing determination of PC complexity were as follows: high symptom burden (OR 3.19 95%CI: 1.72-6.17), difficult pain (OR 2.81 95%CI:1.64-4.9), functional status (OR 0.99 95%CI:0.98-0.9), and social-ethical existential risk factors (OR 3.11 95%CI:1.73-5.77). Logistic analysis of variables allowed construct a complexity model and structured scales (PALCOM 1 and 2) with high predictive value (AUC ROC 76%).
conclusionThis study provides a new model and tools to assess complexity in palliative care, which may be very useful to manage referral to specialized PC services, and agree intensity of their intervention in a model of early-shared care integrated in oncology.
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