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Record W2782259030 · doi:10.14740/gr909w

Rockall Score Larger Than 7 as a Reliable Criterion for the Selection of Indications for Preventive Transarterial Embolization in a Subgroup of High-Risk Elderly Patients After Primary Endoscopic Hemostasis for Non-Variceal Upper Gastrointestinal Bleeding

2017· article· en· W2782259030 on OpenAlexvenueno aff
Aleksejs Kaminskis, Patrīcija Ivanova, Sanita Ponomarjova, Maksims Mukāns, Viesturs Boka, G. Pupelis

Bibliographic record

VenueGastroenterology Research · 2017
Typearticle
Languageen
FieldMedicine
TopicGastrointestinal Bleeding Diagnosis and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHemostasisSurgeryUpper gastrointestinal bleedingEndoscopyEmbolizationEndoscopic treatment

Abstract

fetched live from OpenAlex

BACKGROUND: Transarterial embolization (TAE) is an alternative procedure to repeat endoscopy or surgical intervention in the case of re-bleeding after primary endoscopic treatment. The aim of the study was to assess the Rockall score as a criterion for TAE in the case of re-bleeding after endoscopic treatment of non-variceal upper gastrointestinal bleeding (NVUGIB). METHODS: Out of the 673 patients who underwent emergent endoscopic hemostasis due to NVUGIB, 111 had a high risk of re-bleeding having a Forrest I-IIb ulcer and the Rockall score ≥ 5. From 111 patients, 37 accepted preventive TAE (PE+ group). The control group consisted of 74 patients who underwent standard treatment (PE- group). RESULTS: There were no differences in the demographic status between both groups, nor in the main clinical data on admission. The performance of TAE resulted in a significantly lower re-bleeding rate (1 (4.8%) vs. 11 (33%), P = 0.018). No patient who underwent TAE with the Rockall score ≥ 7 required surgery, resulting in only one re-bleeding episode (P = 0.004). Mortality reached 5% and 11% in the PE+ and PE- groups accordingly. CONCLUSION: The Rockall score ≥ 7 could be a reliable predictor of re-bleeding after primary endoscopic hemostasis as one criterion for the selection of indications for preventive TAE.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.016
Threshold uncertainty score0.588

Codex and Gemma teacher scores by category

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

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 head0.028
GPT teacher head0.331
Teacher spread0.303 · 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

Citations5
Published2017
Admission routes1
Has abstractyes

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