Observational studyBMC palliative care2019
A prospective study examining cachexia predictors in patients with incurable cancer.
Observational study in BMC palliative care, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01362816 (The European Palliative Care Cancer Symptom Study), which is not on this map. Cited by 18 papers, 3 of them syntheses that pooled it.
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.
The European Palliative Care Cancer Symptom Study (EPCCS). A Prospective Data Collection
Who cites it
18 citing papers in PubMed, 3 syntheses or guidelines pooled it, 31 citations in OpenAlex.
- Overinterpretation of findings in machine learning prediction model studies in oncology: a systematic review.Journal of clinical epidemiology · 2023Pooled it
- Methodological conduct of prognostic prediction models developed using machine learning in oncology: a systematic review.BMC medical research methodology · 2022Pooled it
- A systematic review examining the relationship between cytokines and cachexia in incurable cancer.Journal of cachexia, sarcopenia and muscle · 2022Pooled it
- Effects of auricular acupuncture on appetite in patients with advanced cancer: a pilot randomized controlled trial.Annals of palliative medicine · 2020Trial
- Article
- Weight loss in patients on osimertinib for metastatic EGFR-mutant non-small cell lung cancer.The oncologist · 2025Article
- Defining and Addressing Research Priorities in Cancer Cachexia through Transdisciplinary Collaboration.Cancers · 2024Review
- An Estimation Formula for Resonance Frequency Using Sex and Height for Healthy Individuals and Patients with Incurable Cancers.Applied psychophysiology and biofeedback · 2024Article
- Development and validation of a cancer cachexia risk score for digestive tract cancer patients before abdominal surgery.Journal of cachexia, sarcopenia and muscle · 2023Article
- Low muscle mass in lung cancer is associated with an inflammatory and immunosuppressive tumor microenvironment.Journal of translational medicine · 2023Article
- A triple-masked, two-center, randomized parallel clinical trial to assess the superiority of eight weeks of grape seed flour supplementation against placebo for weight loss attenuation during perioperative period in patients with cachexia associated with colorectal cancer: a study protocol.Frontiers in endocrinology · 2023Article
- Assessment of Cancer-Associated Cachexia - How to Approach Physical Function Evaluation.Current oncology reports · 2022Review
- Cancer cachexia as a multiorgan failure: Reconstruction of the crime scene.Frontiers in cell and developmental biology · 2022Review
- Diagnostic criteria for cancer cachexia: reduced food intake and inflammation predict weight loss and survival in an international, multi-cohort analysis.Journal of cachexia, sarcopenia and muscle · 2021Article
- Nutritional Deficiencies in Radiotherapy-Treated Head and Neck Cancer Patients.Journal of clinical medicine · 2021Review
- Altered glucose metabolism and insulin resistance in cancer-induced cachexia: a sweet poison.Pharmacological reports : PR · 2021Review
- Muscle alterations in the development and progression of cancer-induced muscle atrophy: a review.Journal of applied physiology (Bethesda, Md. : 1985) · 2020Review
- A comparison of inflammatory markers' potential to predict weight loss in advanced cancer: a prospective observational study.Journal of circulating biomarkersArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 7 institutions in 6 countries.
Funding
Abstract
backgroundEarly intervention against cachexia necessitates a predictive model. The aims of this study were to identify predictors of cachexia development and to create and evaluate accuracy of a predictive model based on these predictors.
methodsA secondary analysis of a prospective, observational, multicentre study was conducted. Patients, who attended a palliative care programme, had incurable cancer and did not have cachexia at baseline, were amenable to the analysis. Cachexia was defined as weight loss (WL) > 5% (6 months) or WL > 2% and body mass index< 20 kg/m
resultsSix-hundred-twenty-eight patients were included in the analysis. Median age was 65 years (IQR 17), 359(57%) were female and median Karnofsky performance status was 70(IQR 10). Median follow-up was 109 days (IQR 108), and 159 (25%) patients developed cachexia. Initial WL, cancer type, appetite and chronic obstructive pulmonary disease were significant predictors (p ≤ 0.04). A five-level model was created with each level carrying an increasing risk of cachexia development. For Risk-level 1-patients (WL < 3%, breast or hematologic cancer and no or little appetite loss), median time to cachexia development was not reached, while Risk-level 5-patients (WL 3-5%) had a median time to cachexia development of 51 days. Accuracy of cachexia predictions at 3 months was 76%.
conclusionImportant predictors of cachexia have been identified and used to construct a predictive model of cancer cachexia.
trial registrationClinicalTrials.gov Identifier: NCT01362816 .
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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.