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Application of Soehendra sent retriever in patients with chronic pancreatitis

2013· article· en· W3029602937 on OpenAlexaboutno aff
Yingchun Zhang, Shuren Ma, Zhuo Yang, Fei Gao, Zhifeng Zhao, Ning Zhang, Feng Gao

Bibliographic record

VenueChin J Pancreatol · 2013
Typearticle
Languageen
FieldMedicine
TopicGallbladder and Bile Duct Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePancreatitisPancreatic ductEndoscopic retrograde cholangiopancreatographyStentSurgeryLabrador RetrieverCatheterComplicationRadiology

Abstract

fetched live from OpenAlex

Objective To evaluate the efficacy of Soehendra stent retriever for chronic pancreatitis patients with strictures of pancreatic duct.Methods Between January 2010 and October 2012,chronic pancreatitis patients with strictures of pancreatic duct underwent ERCP in Department of Endoscopy,General Hospital of Shenyang Command,and dilation was first attempted by using a dilating catheter.If the stricture could not be traversed,the Soehendra stent retriever was inserted over the wire to dilate the stricture.Results Two handreds and seven patients were included and 11 (3.7%) patients underwent Soehendra stent retriever dilation after failure of dilating catheter.Among the 11 patients,there were 7 men and 4 women with a mean age of 53 ± 3 years old (range 31 ~ 74).ERCP showed 9 cases of pancreatic head stricture,2 cases of pancreatic body stricture,and one patient was complicated with pancreatic pseudocysts.The Soehendra stent retriever was successfully used to dilate the stricture in all patients,and no complication occurred.The VAS pain score was decreased from 3.78 ± 0.83 to 1.56 ± 0.73 (t =6.03,P =0.00).Conclusions Soehendra stent retriever is safe and effective for pancreatic duct strictures dilation. Key words: Chronic pancreatitis;  Soehendra stent retriever;  Cholangiopancreatography,endoscopic retrograde;  Pancreatic duct stricture;  Dilatation

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 score0.007
Threshold uncertainty score0.446

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.003
GPT teacher head0.202
Teacher spread0.199 · 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

Citations0
Published2013
Admission routes1
Has abstractyes

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