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Record W1613288963 · doi:10.1111/ijun.12036

Evaluation of a clinical pathway for ‘radical laparoscopic prostatectomy’: an interrupted time series study

2014· article· en· W1613288963 on OpenAlexaff
Thomas Rotter, Andreas Machotta, Leigh Kinsman, R.H. Champion

Bibliographic record

VenueInternational Journal of Urological Nursing · 2014
Typearticle
Languageen
FieldMedicine
TopicClinical practice guidelines implementation
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsMedicineProstatectomyIntensive care unitInterrupted Time Series AnalysisBlood transfusionClinical pathwayLaparoscopic radical prostatectomyEmergency medicineSurgeryIntensive care medicineInternal medicineProstate

Abstract

fetched live from OpenAlex

ABSTRACT The aim of this study was a rigorous evaluation of a clinical pathway (CP) in patients who underwent a radical laparoscopic prostatectomy ( RLP ). The study was performed at a German university hospital. The Department of Urology has considerable expertise and performs more than 200 RLP per year. The CP for ‘RLP’ was developed based on the best available evidence and introduced in July 2003. It was composed of six modules, and in each module standardized recommendations for clinical examination, therapy and outcome measurement were given. An interrupted time series design with multiple linear regression models was used to measure the effects of a CP for ‘RLP’ on length of hospital stay, and durations of operation and anaesthesia before and after implementation. χ 2 tests were used to compare the number of patients admitted to intensive care unit, the number requiring re‐operation during admission, the number requiring transfusion(s) of blood products and 30‐d readmission rates. A total of 254 patients were analysed. A significant reduction in operation time and admission to intensive care but also a significant increase of patients readmitted to the hospital after the implementation of a CP was observed. Inconclusive results always warrant careful exploration, and measures on CP uptake should always be used to evaluate the success or failure of the implementation strategy.

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)0.013
metaresearch head score (Gemma)0.028
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.857
Threshold uncertainty score0.980

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0130.028
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 head0.335
GPT teacher head0.576
Teacher spread0.240 · 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 designOther design
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

Citations4
Published2014
Admission routes1
Has abstractyes

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