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Record W2927714333 · doi:10.1093/dote/doy089.ps02.249

PS02.249: VARIATION IN BODY COMPOSITION IN ESOPHAGEAL CANCER PATIENTS RECEIVING SUPPLEMENTARY JEJUNOSTOMY FEEDING DURING NEOADJUVANT CHEMORADIOTHERAPY

2018· article· en· W2927714333 on OpenAlexaff
Piers R. Boshier, Maarten F. J. Seesing, Vickie E. Baracos, Donald E. Low

Bibliographic record

VenueDiseases of the Esophagus · 2018
Typearticle
Languageen
FieldMedicine
TopicNutrition and Health in Aging
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineEsophageal cancerWeight lossJejunostomyInternal medicineGastroenterologyEsophagusChemoradiotherapyCancerObesityEsophagectomySarcopeniaFeeding tubeDysphagiaSurgeryParenteral nutrition

Abstract

fetched live from OpenAlex

Abstract Background Cancer of the esophagus has one of the highest known associations with cancer–related malnutrition. The aim of the current study was to investigate variation in the body composition of esophageal cancer patients receiving supplementary jejunostomy feeding during neoadjuvant chemoradiotherapy (nCRT) and to assess its correlation with outcomes. Methods Retrospective review of esophageal cancer patient's receiving jejunal feeding during nCRT. Patients selected for jejunal feeding tube placement were considered at high nutritional risk according to ASPEN criteria. Assessment of body composition was performed using L3-axial CT images acquired at diagnosis and after nCRT. Results Eighty-one patients were eligible for inclusion (67 M, 65.9 ± 9.7 yrs). Average weight loss and BMI at diagnosis was 11.4 ± 6.5 Kg and 26.1 ± 4.6 Kg/m2 respectively. Failure to complete nCRT as prescribed occurred in one patient. Following nCRT the prevalence of sarcopenia increased significantly in males despite jejunal feeding (69% vs. 87%; P = 0.013) but fell in females (57% vs. 50%; P = 0.705). Patients could be categorized into three distinct groups according to the degree of skeletal muscle loss (ΔSMM) during nCRT: minor-loss/no-change (n = 28; Δ > −6 cm2); moderate loss (n = 27; Δ−17 to −6 cm2), and; severe loss (n = 26; Δ<17 cm2). A female predominance was observed amongst patients with minor-loss/no-change in SMM compared to patients with moderate and severe losses during nCRT (36% vs. 11% vs. 4%; P = 0.005). Visceral obesity was also less common in patients with minor-loss/no-change in SMM compared to patients with moderate and severe losses during nCRT (39% vs. 48% vs. 58%; P = 0.401). Compared to patients with moderate and severe SMM losses patients in whom SMM was persevered by jejunal feeding during nCRT tended to have lower rates of over-all complications (62% vs. 59% vs. 43%; P = 0.318); pneumonia (27% vs. 11% vs. 11%; P = 0.186), and; pulmonary embolism (15% vs. 0% vs. 0%; P = 0.012). Long-term survival was not affected by either sarcopenia or SMM and adipose tissue loss during nCRT (P > 0.05). Conclusion This is the first study to report variation in body composition in esophageal cancer patients receiving a defined nutritional intervention during nCRT. In selected patients jejunal feeding appeared to stabilize parameters of body composition whilst other patients experienced significant losses. Observed changes in body composition predominantly reflect sex differences and may offer an opportunity to improve nutritional monitoring and future patient care. Disclosure All authors have declared no conflicts of interest.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.302
Teacher spread0.292 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2018
Admission routes1
Has abstractyes

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