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The national liver transplantation audit: an overview of patients presenting for liver transplantation from 1994 to 1998

2001· article· en· W2022530293 on OpenAlexfundno aff
P. Hartley, Ann Petruckevitch, Brian Reeves, Keith Rolles

Bibliographic record

VenueBritish journal of surgery · 2001
Typearticle
Languageen
FieldMedicine
TopicOrgan Transplantation Techniques and Outcomes
Canadian institutionsnot available
FundersMcMaster University
KeywordsMedicineTransplantationLiver transplantationCirrhosisPopulationIncidence (geometry)Liver diseaseSurgeryAlcoholic liver diseaseDemographicsAuditInternal medicinePediatricsDemographyEnvironmental health

Abstract

fetched live from OpenAlex

BACKGROUND: The aim of this study was to describe current clinical practice in liver transplantation in the UK and Ireland, to provide overall 1-year graft and patient survival rates, and to study some preoperative risk factors. METHODS: All patients receiving a liver transplant in the UK or Ireland between 1 March 1994 and 30 September 1998 were included. Data were collected on patients at the time of transplantation, 3 months after grafting and annually thereafter until the patient's death. The main outcome measures were graft and patient survival at 1 year. RESULTS: A total of 3102 liver transplants were carried out, of which 87 per cent were first transplants. The mean age at first transplantation was 42 (range 0-76) years. The most common indications for transplantation were primary biliary cirrhosis, alcoholic cirrhosis and posthepatitis C cirrhosis, but variations existed between sexes and centres. Risk factors associated with lower graft and patient survival were the presence of acute disease, being transplanted from hospital, and the need for renal and/or ventilatory support before operation. CONCLUSION: Donor and recipient demographics are consistent with data held by the European Liver Transplant Registry, as are 1-year graft and patient survival rates. Variation across centres in factors such as the primary indication for liver transplantation, population demographics, the clinical status of each patient, incidence of retransplantation and other risk factors contributes to the problem of adjusting for case mix.

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 score0.317
Threshold uncertainty score0.386

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.070
GPT teacher head0.316
Teacher spread0.246 · 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

Citations20
Published2001
Admission routes1
Has abstractyes

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