Enteral Vs Oral Nutrition in non-interrupted compliance with chemoradiotherapy in subjects with esophageal cancer
Chacon-Corena, A.; Chacon Chacon, H.; Vargas Moranth, R.; Sierra Maury, G.
Show abstract
BackgroundEsophageal cancer (EC) generates malnutrition, added to the adverse effects of chemoradiotherapy. It is important to avoid intratreatment interruptions to improve survival. The objective is to evaluate the effect of Enteral Nutrition (EN) Vs Oral Nutrition (ON) in compliance without interruptions of chemoradiotherapy in adults with esophageal cancer, in two centers of La Plata Argentina, during 2014-2019. MethodsRetrospective cohort study. 76 subjects participated, 34 with EN and 46 with ON. Independent variable: type of nutrition, dependent variable: compliance with chemoradiotherapy; potentially confusing variables: sex, age, comorbidities, risk factors, and cancer stages. The percentages of qualitative variables were compared through Chi2 and the T test for the quantitative ones. The RR (95% CI) was calculated by comparing the interruptions in both groups. A crude and adjusted RR analysis was performed, stratifying by sex and clinical variables. Results34 subjects had EN and 42 ON; mean age: 65.9 (SD +/-: 10.5) and 68.4 (SD +/-: 9.9) respectively. In both groups, most participants with interruptions were men, in advanced stages, with radical treatment and a diagnosis of carcinoma. In the EN group, 44.12% had interruptions, compared to 14.3% of ON (p <0.05). The group with EN interrupted a mean of 9.9 days (SD +/-: 5.9) and ON: 8.3 (SD +/-: 9.2) (p> 0.05). ConclusionThe group with EN presented more interruptions, therefore it is not recommended for use prophylactically, only if necessary.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- The Impact of Fasting the Holy Month of Ramadan on Colorectal Cancer Patients and Two Tumor Biomarkers: A Tertiary-Care Hospital Experience 96%
- Retrospective study on the clinicogenomic characteristics of EGFR mutant and wildtype NSCLC 92%
- SARS-CoV-2 antibody seroprevalence in cancer patients on systemic antineoplastic treatment in the first wave of the COVID-19 pandemic in Portugal 91%
Similar papers in this journal
- mTOR inhibitors as radiosensitizers in neuroendocrine neoplasms 92%
- Absence of Glutathione S-Transferase Theta 1 Gene is Significantly Associated with Breast Cancer Susceptibility in Pakistani Population and Poor Overall Survival in Breast Cancer Patients: A Case-Control and Case Series Analysis 92%
- Systems biomedicine of primary and metastatic colorectal cancer reveals potential therapeutic targets 92%
Similar papers in this journal
- Machine learning based prediction of recurrence after curative resection for rectal cancer 94%
- What are the impacts of oral complications from cancer therapy on the quality of life of children? A protocol to update a scoping review 93%
- Cost-effectiveness of real-world administration of chemotherapy and add-on Viscum album L. therapy compared to chemotherapy alone in the treatment of stage IV NSCLC patients 93%
Similar papers in this journal
- Quality of life and patient-reported outcomes following proton therapy for oropharyngeal carcinoma: a systematic review 94%
- Loss of CHGA protein as a potential biomarker for colon cancer diagnosis: a study on biomarker discovery by machine learning and confirmation by immunohistochemistry in colorectal cancer tissue microarrays 92%
- Exploring Patient Centered Perspectives on Suicidal Ideation: A Mixed Methods Investigation in Gastrointestinal Cancer Care 91%
Similar papers in this journal
- PDAC-ANN: an artificial neural network to predict Pancreatic Ductal Adenocarcinoma based on gene expression 93%
- Study Protocol of A Phase II Study to Evaluate Safety and Efficacy of Neo-adjuvant Pembrolizumab and Radiotherapy in Localized Rectal Cancer 93%
- Proportion of cancer cases and deaths attributable to potentially modifiable risk factors in Peru prior to the COVID-19 pandemic 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.