ReviewWorld journal of surgical oncology2024
Correlation between sarcopenia and esophageal cancer: a narrative review.
Review in World journal of surgical oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.
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Who cites it
26 citing papers in PubMed, 2 syntheses or guidelines pooled it, 25 citations in OpenAlex.
- Association of preoperative psoas muscle index with clinical outcomes in surgical esophageal cancer patients: a meta-analysis.BMC gastroenterology · 2026Pooled it
- Prevalence of sarcopenia in esophageal cancer patients receiving preoperative neoadjuvant therapy: a systematic review and meta-analysis.International journal of clinical oncology · 2026Pooled it
- Masseter muscle change during chemoradiotherapy for esophageal cancer: survival and immunonutritional associations compared with the psoas muscle index.Surgery today · 2026Article
- Prognostic role of preoperative skeletal muscle mass index in surgical lung cancer patients: a systematic review with meta-analysis.Journal of thoracic disease · 2026Article
- Sarcopenia in esophageal cancer: from passive prognostic marker to active treatment target.Journal of gastrointestinal oncology · 2026Article
- Functions and mechanisms of exosomal lncRNAs in esophageal cancer.Discover oncology · 2026Review
- Article
- Prognostic value of the C-PLAN index in patients with advanced esophageal cancer treated with immune checkpoint inhibitors.Clinics (Sao Paulo, Brazil) · 2026Article
- Impact of Preoperative Sarcopenia on Patient Survival After Esophagectomy for Cancer: A Retrospective Cohort Study.Annals of surgical oncology · 2026Article
- Body components at T12/L3 on CT and correlation with survival in esophageal cancer.European radiology · 2026Article
- Sarcopenia, myosteatosis and systemic immunoinflammatory index in the prediction of survival in patients undergoing immunotherapy for esophageal cancer.Scientific reports · 2026Article
- Article
- A LASSO-based nomogram for predicting sarcopenia-related nutritional risk in esophageal cancer patients: model development, validation, and an interactive clinical decision tool.Frontiers in oncology · 2026Article
- Predictive significance of thoracic skeletal muscle nutritional status for radiotherapy survival in elderly patients with esophageal squamous cell carcinoma.Oncology letters · 2026Article
- A personalized prognostic model based on preoperative body composition and nutritional parameters for gastric cancer patients receiving neoadjuvant chemotherapy.Frontiers in immunology · 2026Article
- Machine learning survival prediction in esophageal cancer using radiomics and body composition from pretreatment and follow-up T12-level computed tomography.World journal of gastrointestinal oncology · 2025Article
- Pathophysiology and perioperative dystrophy of esophagus cancer: association with malnutrition.Translational cancer research · 2025Review
- Sarcopenia and Myosteatosis as a Predictor of Post-Operative Outcomes in Patients Undergoing Laparotomy for Abdominal Emergencies.Journal of clinical medicine · 2025Article
- Correlation between sarcopenia diagnosed by C3SMI criteria and prognosis in esophageal cancer patients after radiotherapy.World journal of gastrointestinal oncology · 2025Article
- Cellular senescence in cancer: from mechanism paradoxes to precision therapeutics.Molecular cancer · 2025Review
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
backgroundIn recent years, the research on the relationship between sarcopenia before and after the treatment of esophageal cancer, as well as its impact on prognosis of esophageal cancer, has increased rapidly, which has aroused people's attention to the disease of patients with esophageal cancer complicated with sarcopenia. This review examines the prevalence of sarcopenia in patients with esophageal cancer, as well as the relationship between sarcopenia (before and after surgery or chemotherapy) and prognosis in patients with esophageal cancer. Moreover, we summarized the potential pathogenesis of sarcopenia and pharmacologic and non-pharmacologic therapies.
methodsA narrative review was performed in PubMed and Web of Science using the keywords ("esophageal cancer" or "esophageal neoplasm" or "neoplasm, esophageal" or "esophagus neoplasm" or "esophagus neoplasms" or "neoplasm, esophagus" or "neoplasms, esophagus" or "neoplasms, esophageal" or "cancer of esophagus" or "cancer of the esophagus" or "esophagus cancer" or "cancer, esophagus" or "cancers, esophagus" or "esophagus cancers" or "esophageal cancer" or "cancer, esophageal" or "cancers, esophageal" or "esophageal cancers") and ("sarcopenia" or "muscular atrophy" or "aging" or "senescence" or "biological aging" or "aging, biological" or "atrophies, muscular" or "atrophy, muscular" or "muscular atrophies" or "atrophy, muscle" or "atrophies, muscle" or "muscle atrophies"). Studies reporting relationship between sarcopenia and esophageal cancer were analyzed.
resultsThe results of the review suggest that the average prevalence of sarcopenia in esophageal cancer was 46.3% ± 19.6% ranging from 14.4 to 81% and sarcopenia can be an important predictor of poor prognosis in patients with esophageal cancer. Patients with esophageal cancer can suffer from sarcopenia due to their nutritional deficiencies, reduced physical activity, chemotherapy, and the effects of certain inflammatory factors and pathways. When classic diagnostic values for sarcopenia such as skeletal muscle index (SMI) are not available clinically, it is also feasible to predict esophageal cancer prognosis using simpler metrics, such as calf circumference (CC), five-count sit-up test (5-CST), and six-minute walk distance (6MWD).
conclusionsIdentifying the potential mechanism of sarcopenia in patients with esophageal cancer and implementing appropriate interventions may hold the key to improving the prognosis of these patients.
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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 Socratic graph.