ArticleBMJ nutrition, prevention & health2024
Metabolomics-based treatment for chronic diseases: results from a multidisciplinary clinical study.
Article in BMJ nutrition, prevention & health, 2024. 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
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Metabolomic Investigation of Myelodysplastic Syndromes, Multiple Myeloma, and Homozygous β-Thalassemia.Cells · 2025Review
- Microbiome Research in Greece: A Comprehensive Bibliometric Study.Microorganisms · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Non-communicable diseases (NCDs), known as chronic diseases, significantly impact patients' quality of life (QoL) and increase medical expenses. The majority of risk factors are modifiable, and metabolomics has been suggested as a promising strategy for their evaluation, though real-world data are scarce. This study evaluated the QoL improvement and cost-effectiveness of a metabolomics-based treatment for NCDs, aiming to restore metabolic dysfunctions and nutritional deficiencies. Methods: We performed a pre-post intervention analysis using clinical, metabolomics, QoL and economic data obtained from the electronic health records of 765 patients visiting a private practice. The intervention consisted of personalised treatment to restore metabolic dysfunctions and nutritional deficiencies identified by metabolomics alongside the standard treatment for their condition. The mean intervention duration was 401 days. Results: Significant improvement was identified in energy levels, sleep quality, gastrointestinal function and physical activity (p<0.001). 67.9% of participants reported significant improvement in the overall QoL, and the average quality-adjusted life-years (QALYs) increased by 0.064 (95% uncertainty interval 0.050 to 0.078) post-treatment. The incremental cost-effectiveness ratio was estimated at €49.774/QALY (95% CI €40.110 to €61.433). Metabolic profiling demonstrated that 16/35 organic acids and 11/24 total fatty acids were significantly changed post-treatment (p<0.001), participating in key pathways such as energy metabolism, microbiome and neurotransmitter turnover. Vitamin D and 5-methyltetrahydrofolate insufficiency was significantly restored (p=0.036). Conclusion: This is the first study providing evidence that the integration of metabolomics in clinical practice can have a clinical benefit for patients' QoL and may be a cost-effective method.
Indexed as
Identifiers
What Socratic holds
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 Socratic graph.