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Record W2722370659 · doi:10.1097/sle.0000000000000429

Minimally Invasive Cholecystolithotomy to Treat Cholecystolithiasis in Children: A Single-center Experience With 23 Cases

2017· article· en· W2722370659 on OpenAlexaff
Xiaokun Lin, Jingli Cai, Jisheng Wang, Congde Chen, Guorong He, Yijiang Han

Bibliographic record

VenueSurgical Laparoscopy Endoscopy & Percutaneous Techniques · 2017
Typearticle
Languageen
FieldMedicine
TopicGallbladder and Bile Duct Disorders
Canadian institutionsPediatric Oncology Group
Fundersnot available
KeywordsMedicineLaparoscopyCholecystectomyInvasive surgeryPerioperativeSurgeryMinimally invasive proceduresGeneral surgeryGallbladderLaparoscopic cholecystectomy

Abstract

fetched live from OpenAlex

OBJECTIVE: Minimally invasive cholecystolithotomy is recently popularized treatment that may offer advantages over laparoscopic cholecystectomy, especially in China. However, there are few reports concerning the use of this technique in the pediatric population. This report describes our initial experience with minimally invasive cholecystolithotomy using laparoscopy combined with choledochoscopy to treat cholecystolithiasis in children. MATERIALS AND METHODS: A retrospective review of 23 pediatric patients with cholecystolithiasis who underwent minimally invasive cholecystolithotomy using laparoscopy combined with choledochoscopy from January 2009 to December 2015 was performed. RESULTS: The operations were successful in all 23 cases. None required conversion to conventional laparoscopic cholecystectomy. The average operative time was 68 minutes (range, 45 to 97 min). The average bleeding volume during surgery was 30 mL (range, 10 to 55 mL). The average length of hospital stay was 5.2 days (range, 3 to 7 d). There were no perioperative complications. All patients were followed for 9 to 12 months without any obvious gastrointestinal symptoms. None had a recurrence of stones in the gall bladder. CONCLUSIONS: Minimally invasive cholecystolithotomy using laparoscopy combined with choledochoscopy is a safe and viable technique that may be used successfully in pediatric surgery.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.329
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.018
GPT teacher head0.302
Teacher spread0.284 · 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.

Study designBench or experimental
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

Citations8
Published2017
Admission routes1
Has abstractyes

Explore more

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