ReviewAsia-Pacific journal of oncology nursing2023
Management of cancer cachexia towards optimizing care delivery and patient outcomes.
Review in Asia-Pacific journal of oncology nursing, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed, 5 citations in OpenAlex.
- Resource allocation efficiency in Ethiopian hospitals: technology utilization as mediator and staff competency as moderator.Cost effectiveness and resource allocation : C/E · 2026Article
- Addressing the Neglected Burden of Cancer Cachexia: A Quasi-Experimental Study at Uganda Cancer Institute.Cancer management and research · 2026Article
- Hallmarks of Cancer Cachexia: Sexual Dimorphism in Related Pathways.International journal of molecular sciences · 2025Review
- Enhancing Cancer Care through Blockchain Technology.Asian Pacific journal of cancer prevention : APJCP · 2025Review
- The Prevalence and Prognosis of Cachexia in Patients with Non-Sarcopenic Dysphagia: A Retrospective Cohort Study.Nutrients · 2024Article
- Blazing a trail in cancer cachexia care.Asia-Pacific journal of oncology nursing · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cancer cachexia is a complex syndrome characterized by progressive weight loss, muscle mass depletion, and systemic inflammation, profoundly affecting the well-being and treatment outcomes of cancer patients. Effective management of cancer cachexia demands a coordinated, multifaceted approach involving various healthcare disciplines and operational strategies. Streamlining care processes is crucial to ensure timely interventions and support, reducing delays in diagnosis and treatment initiation. Multidisciplinary collaboration is pivotal in creating integrated care plans that address the multifactorial nature of cancer cachexia comprehensively. Data-driven decision-making empowers healthcare teams to identify trends, monitor treatment responses, and tailor care plans to individual needs, ultimately leading to improved patient outcomes. Standardized assessment and monitoring play a vital role in maintaining consistent, high-quality care, facilitating early interventions and treatment adjustments. Implementing patient-centered care fosters trust, enhances treatment adherence, and encourages patients to actively engage in their care journey, thereby improving their overall quality of life. This paper underscores the significance of applying operations management principles to optimize care delivery and enhance patient outcomes in the management of cancer cachexia. It provides valuable insights for healthcare institutions and professionals striving to provide comprehensive and effective care for individuals affected by this challenging condition.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.