ReviewBiomedicines2025
Muscle Wasting and Treatment of Dyslipidemia in COPD: Implications for Patient Management.
Review in Biomedicines, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- Association Between Non-traditional Lipid Indices and Sarcopenia: Evidence from a Prospective Chinese Cohort Study.Current medical science · 2026Article
- The Efficacy of High-Flow Nasal Cannula (HFNC) Treatment in Patients with Chronic Type II Respiratory Failure Secondary to COPD.Journal of clinical medicine · 2026Article
- Association between controlling nutritional status (CONUT) and all-cause mortality in elderly hospitalized patients with acute exacerbation of chronic obstructive pulmonary disease: a retrospective cohort study.Frontiers in nutrition · 2026Article
- Research Progress of Sarcopenia Index in Chronic Obstructive Pulmonary Disease: A Review.Cureus · 2025Review
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Chronic Obstructive Pulmonary Disease (COPD) is a multifactorial condition associated with significant systemic complications such as cardiovascular disease (CVD), metabolic disorders, muscle wasting, and sarcopenia. While Body Mass Index (BMI) is a well-established indicator of obesity and has prognostic value in COPD, its role in predicting disease outcomes is complex. Muscle wasting is prevalent in COPD patients and exacerbates disease severity, contributing to poor physical performance, reduced quality of life, and increased mortality. Additionally, COPD is linked to metabolic disorders, such as dyslipidemia and diabetes, which contribute to systemic inflammation and worse prognosis and, therefore, should be treated. The systemic inflammatory response plays a central role in the development of sarcopenia. In this review, we highlight the mixed efficacy of statins in managing dyslipidemia in COPD, considering side effects, including muscle toxicity in such a frail population. Alternative lipid-lowering therapies and nutraceuticals, in addition to standard treatment, have the potential to target hypercholesterolemia, which is a coexisting condition present in more than 50% of all COPD patients, without worsening muscle wasting. The interference between adipose tissue and lung, and particularly the potential protective role of adiponectin, an adipocytokine with anti-inflammatory properties, is also reviewed. Respiratory, metabolic and muscular health in COPD is comprehensively assessed. Identifying and managing dyslipidemia and paying attention to other relevant COPD comorbidities, such as sarcopenia and muscle wasting, is important to improve the quality of life and to reduce the clinical burden of COPD patients. Future research should focus on understanding the relationships between these intimate mechanisms to facilitate specific treatment for systemic involvement of COPD.
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.