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Record W2011275828

Does the Use of Newer Technology to Divide the Mesoappendix Result in Less Bleeding? A Retrospective Analysis

2014· article· en· W2011275828 on OpenAlexvenueno aff
Matthew P. Doepker, Justin L. Gregg, Giacomo Meeker, Bryan Ellis, Kevin Grannan

Bibliographic record

VenueJournal of Current Surgery · 2014
Typearticle
Languageen
FieldMedicine
TopicAppendicitis Diagnosis and Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHarmonic scalpelSurgeryAcute appendicitisEnergy sourceBlood loss
DOInot available

Abstract

fetched live from OpenAlex

Background: Various methods have been used to seal and divide the mesoappendix, such as endoscopic linear cutting staples, the Harmonic Scalpel and even monopolar coagulation. The goal of this study was to determine whether using any of these energy sources versus any non-energy source would be superior in terms of post-operative complications (primarily bleeding), hospital length of stay and cost. Methods: This study included all patients who underwent laparoscopic appendectomy for acute appendicitis between January 2007 and April 2010 at a community hospital system with two large hospitals. The primary outcomes measured were bleeding, post-operative anemia, blood transfusion requirements, length of stay and cost. Results: Laparoscopic appendectomy was performed on 838 patients. An energy source was used on 503 patients and a non-energy source was used on 335 patients. No statistically significant differences were found regarding post-operative complications or length of stay. There was, however, a financial difference found, in that it was much less expensive to use a non-energy source versus an energy source when handling and controlling the mesoappendix. Conclusions: Using a non-energy source is as safe as an energy source for dividing and sealing of the mesoappendix. This study supports the use of a non-energy source as a comparable method when compared to a non-energy source, with no difference in main outcomes. J Curr Surg. 2014;4(1):6-9 doi: http://dx.doi.org/10.14740/jcs198w

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)0.002
metaresearch head score (Gemma)0.002
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 score0.084
Threshold uncertainty score0.224

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
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 head0.061
GPT teacher head0.330
Teacher spread0.269 · 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

Citations1
Published2014
Admission routes1
Has abstractyes

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