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Record W2060228944 · doi:10.1159/000363659

Early versus Delayed Surgery for Acute Cholecystitis as an Applied Treatment Strategy When Assessed in a Population-Based Cohort

2014· article· en· W2060228944 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueDigestive Surgery · 2014
Typearticle
Languageen
FieldMedicine
TopicGallbladder and Bile Duct Disorders
Canadian institutionsASTER
Fundersnot available
KeywordsMedicinePerioperativeCohortPopulationOdds ratioCholecystectomyGastroenterologyInternal medicineSurgery

Abstract

fetched live from OpenAlex

BACKGROUND: The aims of this study were to describe the surgical management of acute cholecystitis (AC) in a well-defined population-based patient cohort, in particular adherence to and outcome of the early open/laparoscopic cholecystectomy (EC/ELC) strategy. METHODS: The medical records of all patients residing in Stockholm County who were treated for AC during 2003 and 2008 were reviewed according to a standardized protocol. RESULTS: In 2003, 799 patients were admitted 850 times for AC, and the respective figures for 2008 were 833 and 919. The number of patients who underwent EC/ELC increased from 42.9% in 2003 to 47.4% in 2008. In multivariate regression analysis adjusting for age, gender, severity of cholecystitis, maximal CRP and maximal WBC, EC/ELC was associated with shorter operation time but higher perioperative blood loss when compared to delayed open/laparoscopic cholecystectomy (DC/DLC). The odds ratio for completing the procedure laparoscopically was significantly higher in DC/DLC when adjusting for the same covariates. There were no significant differences in peri- or postoperative complications between the groups. CONCLUSION: Strategies should be implemented in order to secure a more evidence-based approach to the surgical treatment of AC.

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.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.029
GPT teacher head0.301
Teacher spread0.273 · 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