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Intraluminal brachytherapy in the management of squamous carcinoma of the esophagus

2009· article· en· W2075492294 on OpenAlexaff
Jones Glenn, Blanka Jakšić, Bokulić Tomislav, Budanec Mirjana, Iva Mrčela, Stančić-Rokotov Dinko, Davor Hrabar, Bolanča Ante, Rosenblatt Eduardo, Zvonko Kusić

Bibliographic record

VenueDiseases of the Esophagus · 2009
Typearticle
Languageen
FieldMedicine
TopicEsophageal Cancer Research and Treatment
Canadian institutionsCredit Valley Hospital
Fundersnot available
KeywordsOdynophagiaMedicineDysphagiaEsophagusBrachytherapyQuality of life (healthcare)SurgeryRadiologyRadiation therapyNursing

Abstract

fetched live from OpenAlex

Intraluminal high dose rate brachytherapy (ILHDR BT) is one of several effective modalities for palliation of advanced esophageal cancer. Thirty patients with endoscopic-proven, mostly locally advanced, squamous cell carcinoma of the esophagus, not involving the gastroesophageal junction and without distant metastases, were included in this analysis. Twenty-nine patients received two ILHDR BT sessions of 8 Gy within a week and one patient received only one session. All patients were followed monthly. Outcomes included quality of life (QOL), symptoms control: dysphagia, regurgitation, odynophagia, and chest or back pain, as well as, overall survival. Through 4 months of follow-up, QOL was statistically improved (having lowered scores) in regards to feelings (P= 0.013), sleeping (P= 0.032), eating (P= 0.020), and social life (P= 0.002). The most significantly improved symptom was dysphagia (P < 0.006), with a reduction of 0.52 units or one-half grade. Regurgitation, odynophagia, and pain were lower during follow-up but were not statistically significant. The median overall survival from death of any cause was 165 days (with a 95% confidence interval of 128-195 days). In conclusion, ILHDR BT of advanced squamous esophageal cancer consisting of two out-patient procedures is very successful in achieving the primary objectives of the patients to reduce dysphagia and improve QOL.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.297
Threshold uncertainty score0.376

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.012
GPT teacher head0.291
Teacher spread0.279 · 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 teacher head, 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".

Quick stats

Citations9
Published2009
Admission routes1
Has abstractyes

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