ArticleCancer research and treatment2022
A Prognostic Model to Facilitate Palliative Care Referral in Oncology Outpatients.
Article in Cancer research and treatment, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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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.
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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
5 citing papers in PubMed, 8 citations in OpenAlex.
- Prognostication and likelihood ratios: methodology, discrimination, and interpretation - a clinician's guide to prognostic tools.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Review
- End-of-life prognostic models in advanced cancer: a scoping review of model development, validation, and impact.BMC palliative care · 2026Article
- Decision tree model to predict one-year survival in ambulatory patients with advanced cancer.PloS one · 2026Article
- Clinicians' Prediction of Survival Is Most Useful for Palliative Care Referral.Palliative medicine reports · 2024Article
- Performance of clinician prediction of survival in oncology outpatients with advanced cancer.PloS one · 2022Article
Corrections and comments
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Authors and funding
13 authors at 5 institutions in 2 countries.
Funding
Abstract
purposeWe aimed to develop a prognostic model to assist palliative care referral at least 3 months before death in advanced cancer patients treated at an outpatient medical oncology clinic. MATERIALS AND
methodsIn this prospective cohort study, a total of 200 patients were enrolled at a tertiary cancer center in South Korea. The major eligibility criterion was an expected survival of less than a year as estimated by their oncologists. We analyzed the influences of known prognostic factors along with chemotherapy status, mid-arm circumference, and triceps skinfold thickness on survival time.
resultsThe mean age of the patients was 64.5 years, 36% were female, and the median survival time was 7.6 months. In the multivariate analysis, we found 6 significant factors related to poor survival: a poor Eastern Cooperative Oncology Group (ECOG) performance status (≥2), not undergoing chemotherapy, anorexia, a low lymphocyte level (<12%), a high lactate dehydrogenase (LDH) level (≥300 IU/L), and a low mid-arm circumference (<23 cm). We developed a prognostic model (score, 0-8.0) to predict 3-month survival based on the multivariate analysis. Patients who scored ≥4.0 points had a short survival of less than 3 months (p<0.001). The discriminating ability of the prognostic model using the area under the receiver operating characteristic curve (AUC) was 0.88.
conclusionThe prognostic model using ECOG performance status, chemotherapy status, anorexia, lymphocytes, LDH, and mid-arm circumference can predict 3-month survival in medical oncology outpatients. It can alert oncologists to refer patients to palliative care specialists before it is too late.
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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.