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Abstract A36: Impact of feeding tube use on swallowing-related quality of life and weight in oropharyngeal cancer

2020· article· en· W3082626489 on OpenAlexaff
Nedeljko Jovanovic, Colleen Dreyer, Sarah Hawkins, Kendra Thouless, David A. Palma, Philip C. Doyle, Julie Theurer

Bibliographic record

VenueClinical Cancer Research · 2020
Typearticle
Languageen
FieldMedicine
TopicHead and Neck Cancer Studies
Canadian institutionsLawson Health Research InstituteLondon Health Sciences CentreWestern University
Fundersnot available
KeywordsMedicineSwallowingFeeding tubeHead and neck cancerDysphagiaQuality of life (healthcare)GastrostomyInternal medicineMedical recordRadiation therapyWeight changeCancerWeight lossPhysical therapySurgeryObesity

Abstract

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Abstract Purpose: This study investigated differences in swallowing-related quality of life (QoL) and weight outcomes in patients treated for oropharyngeal cancer (OPC) based on feeding tube (FT) use. Methods: A retrospective chart review of OPC patients treated with definitive radiotherapy (± chemotherapy) was performed. Swallowing QoL and weight outcomes were collected from electronic medical records for patients seen at a single regional cancer center between January 2013 and December 2015. M.D. Anderson Dysphagia Inventory (MDADI) composite scores, Performance Status Scale for Head and Neck Cancer (PSS-HN) Normalcy of Diet scores, and weight measurements were gathered at baseline and at 3, 6, and 12 months post-treatment. Patients were grouped based on FT use. Bivariate associations were evaluated using the chi-square test and change over time was analyzed by group using a linear mixed effects analysis. The proportion of patients with clinically meaningful change was also determined. Results: Of 126 eligible patients, 46 (36.5%) received a reactive gastrostomy or gastro-jejunostomy FT (FT group). Compared to baseline, MDADI composite scores were significantly lower at 3 and 6 months (p < .001) for those who did not receive a FT (NFT group), while no significant change occurred in the FT group over time. No significant change was noted in PSS-HN scores for either group. Significant decreases in weight occurred in both groups at 3 and 6 months, and at 12 months for the NFT group alone (p < .001). Clinically meaningful decreases in MDADI composite scores at 3, 6, and 12 months were observed in 53%, 43%, and 29% of FT patients and 45%, 44%, and 33% of NFT patients, respectively. Clinically meaningful decreases in weight were observed at 3, 6, and 12 months in 30%, 23%, and 13% of FT patients and for 50%, 44%, and 40% of NFT patients, respectively. There was no significant association between FT use and clinically meaningful decreases in either MDADI composite scores or weight. Conclusions: Despite selective use of enteral feeding for nutritional support in patients at risk, the impact of FT utilization on functional outcomes is not well understood. Statistically significant decreases in short-term swallowing-related QoL were noted preferentially in patients without FTs, and there was a concerning trend for NFT patients to not return to baseline weight by 12 months post-treatment. However, this study also identified that patients in both groups experienced clinically meaningful decreases in swallowing-related QoL and weight in the first year post-treatment irrespective of FT use. Based on this evidence, it is prudent to monitor weight change closely, particularly in patients who do not meet initial risk criteria for reactive FT placement. Understanding the potential for clinically meaningful change in swallowing QOL and weight will contribute to improved patient monitoring and intervention, and may ultimately lead to better outcomes for those with OPC. Citation Format: Nedeljko Jovanovic, Colleen Dreyer, Sarah Hawkins, Kendra Thouless, David Palma, Philip C. Doyle, Julie A. Theurer. Impact of feeding tube use on swallowing-related quality of life and weight in oropharyngeal cancer [abstract]. In: Proceedings of the AACR-AHNS Head and Neck Cancer Conference: Optimizing Survival and Quality of Life through Basic, Clinical, and Translational Research; 2019 Apr 29-30; Austin, TX. Philadelphia (PA): AACR; Clin Cancer Res 2020;26(12_Suppl_2):Abstract nr A36.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
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)0.0020.000

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 head0.482
GPT teacher head0.581
Teacher spread0.098 · 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
Published2020
Admission routes1
Has abstractyes

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