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Record W2974800308 · doi:10.14740/jcs385

Analysis of Outcomes Using Intraoperative Irrigation and Drainage for Complicated Appendicitis

2019· article· en· W2974800308 on OpenAlexvenueno aff
Monica Sridhar, Manrique Guerrero, Jacob A. Miller, Paul Hanna, Jafar Haghshenas, Jamshed Zuberi

Bibliographic record

VenueJournal of Current Surgery · 2019
Typearticle
Languageen
FieldMedicine
TopicAppendicitis Diagnosis and Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineSepsisSurgeryAbscessAppendicitisRetrospective cohort studyDrainageOdds ratioTherapeutic irrigationIrrigationGeneral surgeryInternal medicine

Abstract

fetched live from OpenAlex

Background: The practice of irrigation and/or intraoperative peritoneal drain placement during an appendectomy for complicated appendicitis is currently controversial. This study was aimed at delineating the relationship between the practice of intraoperative drain placement and/or irrigation and patient outcomes for complicated appendicitis cases. Methods: A retrospective study of patients presenting with acute complicated appendicitis, which was defined as perforated or gangrenous, was conducted (n = 225). The primary outcome was defined as the presence of postoperative abscess or sepsis, while the secondary outcome measured was length of hospital stay. Results: Patients who received intraoperative drain placement had an increased risk of postoperative abscess (odds ratio (OR) = 13.33, P < 0.001) and sepsis (OR = 11.37, P = 0.026). There was no significant difference in primary outcomes with irrigation. Patients who received irrigation had a longer length of stay (7.59 vs. 4.69 days, P = 0.001) as did those who received an intraoperative drain (7.61 vs. 5.33 days, P = 0.01). Conclusions: In this study, irrigation did not change the OR of sepsis and postoperative abscess. However, placement of an intraoperative drain increased both the rates of sepsis and postoperative abscesses, indicating possible increase in postoperative complications with intraoperative drains when compared with no drains. J Curr Surg. 2019;9(2-3):17-21 doi: https://doi.org/10.14740/jcs385 Â

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)0.001
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 score0.017
Threshold uncertainty score0.314

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
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 head0.075
GPT teacher head0.369
Teacher spread0.294 · 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

Citations2
Published2019
Admission routes1
Has abstractyes

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