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Record W4253528468 · doi:10.1007/s00464-012-2203-x

2012 Scientific Session of the Society of American Gastrointestinal and Endoscopic Surgeons (SAGES) San Diego, California, USA, 7–10 March 2012 Poster Presentations

2012· article· en· W4253528468 on OpenAlexaff
Amir Vejdan, R Mark's Hospital, John Vlot, René Wijnen, Jan Stolker, Martin Bax, Andrew Miesse, Michael Stellon, Ross D. Segan, Emily Miesse, Dwight G. Bronson, Surgical Solutions, Sunreet Randhawa, Reza Mirnezami, Beatriz Jiménez, James Kinross, Olaf Beckonert, Claire A Merrifield, Elaine Holmes, Jeremy K. Nicholson, Ara Darzi, Jinyu Gu, Luca Stocchi, Feza H. Remzi, Ravi P. Kiran, Cleveland Clinic Foundation, Noritsugu Naito, Nobuyasu Kano, G Basili, Nicola Romano, D Pietrasanta, Graziano Biondi, Irene Mosca, Valerio Prosperi, Orlando Goletti, Richdeep S. Gill, Xinzhe Shi, David Al‐Adra, Daniel W. Birch, Shahzeer Karmali

Bibliographic record

VenueSurgical Endoscopy · 2012
Typearticle
Languageen
FieldMedicine
TopicDiverticular Disease and Complications
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineSession (web analytics)HepatologyGeneral surgeryAbdominal surgeryFamily medicineInternal medicineWorld Wide Web

Abstract

fetched live from OpenAlex

Background: Shoulder pain is a common complaint following laparoscopic surgery and the incidence of Shoulder pain is generally about 35% of patients following laparoscopic surgeries, but it is more frequent after some specific type of laparoscopic surgeries like as Nissen fundoplication and laparoscopic adjustable gastric band. This investigation evaluates the role of slow deflation of abdominal gas in decreasing the severity and the incidence of this problem. Patients and Method: 78 patients with uncomplicated gall stone and early phase of acute cholecystitis were randomly divided in two groups. In control group (38 patients), Ports were removed rapidly and gas deflated in less than 10 s, but in main group (40 patients), gas was deflated with a slow rate in 3 min. Patients were followed for 8 weeks after operation and the incidence and severity of pain were evaluated and compared with each other. Results: The incidence of post laparoscopic shoulder pain was 8% and 34% in main group and control groups, respectively (P \ 0.05). Pain score system shows less severity of pain in investigated group that can lead to decrease in analgesic prescription and dosage. Recommendation: Decreasing the speed of abdominal gas deflation at the end of laparoscopic surgeries, can significantly decrease the incidence and severity of post laparoscopic shoulder pain.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.998

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.024
GPT teacher head0.307
Teacher spread0.283 · 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 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

Citations3
Published2012
Admission routes1
Has abstractyes

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