ArticleJournal of circulating biomarkers
A comparison of inflammatory markers' potential to predict weight loss in advanced cancer: a prospective observational study.
Article in Journal of circulating biomarkers. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Linking Inflammation to Reduced Food Intake in Advanced Cancer: A Prospective Observational Study.Current oncology (Toronto, Ont.) · 2026Observational
- Association of Systemic Inflammation with Nocturnal Sleeping Time Among Terminally Ill Patients with Cancer: Preliminary Findings.Healthcare (Basel, Switzerland) · 2025Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Systemic inflammation is crucial in cancer cachexia, but the optimal measurement method remains unclear. This study compares markers of systemic inflammation (MoSI) in predicting weight loss in patients with metastatic cancer. Methods: This prospective, observational multi-center study involved patients undergoing radiotherapy for bone metastases. Baseline assessments included demographics, clinical characteristics, previous weight loss, and appetite loss. MoSI included: C-reactive protein (CRP), albumin, white blood cells, neutrophil-to-lymphocyte ratio, monocyte-to-lymphocyte ratio, interleukin-6 (IL-6), modified Glasgow Prognostic Score (mGPS), and Prognostic Nutritional Index. Body weight was recorded at baseline, 3, and 8 weeks post-radiotherapy. Multiple linear regression assessed MoSI's predictive ability for weight loss, adjusting for previous weight loss, appetite loss, and primary tumour type. Goodness-of-fit was assessed using adjusted R Results: Out of 574 recruited patients, 540 and 470 were analyzed at 3 and 8 weeks, respectively. The median age (IQR) was 67 (15), 330 (61%) were male, and 397 (74%) had a Karnofsky performance status ≥70. In a base model without MoSI, significant predictors of weight loss at 3 weeks were appetite loss and urological, lung, and gastrointestinal cancer (adjusted R Conclusions: All MoSI predicted weight loss, but CRP and mGPS were the most optimal.
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Registered trials
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