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Record W4247463371 · doi:10.14740/jmc3064e

Experience of Palliative Radiotherapy for Tumor-Associated Bleeding From Biliary Tract Cancer

2018· article· en· W4247463371 on OpenAlexvenueno aff
Hideaki Kawabata, Misuzu Hitomi, Y. Yamamoto, Takashi Fujii, Naonori Inoue, Yukino Kawakatsu, Yuji Okazaki, Masatoshi Miyata, Shigehiro Motoi, Y. Shimizu

Bibliographic record

VenueJournal of Medical Cases · 2018
Typearticle
Languageen
FieldMedicine
TopicCholangiocarcinoma and Gallbladder Cancer Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHemostasisAnemiaRadiation therapyCancerPalliative careDuodenumAdverse effectSurgeryPalliative treatmentBiliary tractQuality of life (healthcare)Internal medicineNursing

Abstract

fetched live from OpenAlex

We experienced two cases of palliative radiotherapy (RT) for tumor-associated bleeding from biliary tract cancer (BTC). Bleeding due to tumor invasion to the duodenum wall caused severe anemia that required a blood transfusion. Hemostatic RT with 30 Gy in 10 - 12 fractions was attempted. Hemostasis was achieved in both patients, and they were able to spend their remaining life at home with no restrictions of their oral intake. In addition, no adverse events were seen in any of the two patients after undergoing palliative RT. Palliative RT for tumor-associated bleeding from BTC is suggested not only to be an effective and safe treatment option, but to improve the patient’s quality of life. The further accumulation of cases will be required in order to confirm the usefulness of hemostatic RT for BTC. J Med Cases. 2018;9(10):328-331 doi: https://doi.org/10.14740/jmc3064e

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.062
GPT teacher head0.378
Teacher spread0.317 · 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 designCase report
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

Citations2
Published2018
Admission routes1
Has abstractyes

Explore more

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