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Record W2892262066 · doi:10.18535/jmscr/v6i9.22

Complication of open versus Laparoscopic Cholecystactomy: A Comparative Study

2018· article· en· W2892262066 on OpenAlexaboutno aff
Dr Anurag Chauhan

Bibliographic record

VenueJournal of Medical Science And clinical Research · 2018
Typearticle
Languageen
FieldMedicine
TopicGallbladder and Bile Duct Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineComplicationGeneral surgerySurgery

Abstract

fetched live from OpenAlex

Introduction: The aim of the study was to compare complication of cholecystectomy i.e. open cholecystectomy and laparoscopic cholecystectomy according to Toronto system and to find out whether laparoscopic cholecystectomy was safer with least postoperative discomfort and hospital stay. Design: Retrospective study Methodology: Study was conducted on 100 patients undergoing cholecystectomy. 50 patients of open cholecystectomy and 50 patients of laparoscopic cholecystectomy in Surgical Ward, J.A. Group of Hospitals, G.R. Medical College, Gwalior. Result: Maximum number of patients (24%) were belongs to 30-55 years of age. Male:female ratio was 9:41 for open cholecystectomy and 4:46 for laparoscopic cholecystectomy. Gall bladder stone disease were 6-9 times more common in female patients. Intraoperative complication was 10% in open cholecystectomy and 8% in laparoscopic cholecystectomy and postoperative complication were higher in open cholecystectomy. Grade I complication rate was 26% in open cholecystectomy and 12% in laparoscopic cholecystectomy. Grade II complication was 4% in open cholecystectomy and 8% in laparoscopic cholecystectomy i.e. grade II complication rate was higher in laparoscopic cholecystectomy, and conversion rate was 16%, operating time was higher in laparoscopic cholecystectomy group and hospital stay was shorter in laparoscopic cholecystectomy group. Conclusion: Thus we concluded that laparoscopic cholecystectomy was superior procedure for treatment of gall bladder stone disease. As it was associated with decrease complication, decrease postoperative pain, decrease hospital stay and improve cosmetic outcome.

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)0.023
metaresearch head score (Gemma)0.012
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.178
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0230.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.004
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 head0.488
GPT teacher head0.646
Teacher spread0.158 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

Explore more

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