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Record W4251473928 · doi:10.1002/hep.25678

Assessment by Fibroscan of fibrosis in nonalcoholic fatty liver disease: XL versus M probe?

2012· article· en· W4251473928 on OpenAlexaffabout
Robert P. Myers

Bibliographic record

VenueHepatology · 2012
Typearticle
Languageen
FieldMedicine
TopicLiver Disease Diagnosis and Treatment
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsCohortBody mass indexMedicineGeneralizability theoryObesityOverweightPopulationInternal medicineGastroenterologyNuclear medicinePsychology

Abstract

fetched live from OpenAlex

In their study, Iavarone et al. 1 found a prolonged time to progression (TTP) in comparison with the Sorafenib HCC Assessment Randomized Protocol study, and they speculated that it was probably related to the utilization of the modified Response Evaluation Criteria in Solid Tumors. 2 Moreover, they hypothesized that down-dosing sorafenib allowed a high percentage of the patients to retain the benefits of the drug and achieve improved survival.If TTP was so remarkably improved only because of the accuracy of the modified Response Evaluation Criteria in Solid Tumors (published in the year of the study's start), it seems strange that the median overall survival was comparable to that of phase 3 trials.2 The most unusual observation was the very short postprogression survival (1 month versus 5 months in the Sorafenib HCC Assessment Randomized Protocol study).As a rule, a median TTP approaching the median overall survival occurs because of undiagnosed progression.In our opinion, this means that the interval between computed tomography scans was longer than 2 months in actual daily practice.Another issue was the high rate of liver function deterioration, which the authors attributed to drug-related adverse events. 1 It is not clear how they distinguished this from clinical tumor progression.The analysis suggesting longer survival for patients receiving half-dose sorafenib was not preplanned, and this means that the patients were not stratified according to prognostic factors and that the sample size was not calculated in advance for the hypothesis that the authors intended to demonstrate.For this reason, the aforementioned analysis was methodologically inappropriate for an observational study; it was also inconclusive because the patients' survival might simply have depended on the selection of a goodprognosis cohort.Finally, two other aspects deserve careful consideration.First, the study lacked formal approval by an ethics committee, which implies the generation of a European Union Drug Regulating Authorities Clinical Trials number according to Italian rules.Second, a cohort of Child B patients was treated, but sorafenib approval in Italy is restricted to Child A patients.Taken together, our observations suggest the following: (1) the design of this prospective study had potentially serious limitations, (2) sorafenib was used in field practice outside the approved indication, (3) computed tomography scans were not scheduled on a bimonthly basis, and (4) TTP was largely overestimated.In addition, this article subliminally conveys a somewhat hazardous and not adequately supported message about both the arbitrary acceptance of the physician's judgment in deciding the likelihood of benefits without radiological confirmation and the continuation of sorafenib beyond progression almost until death.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.023
metaresearch head score (Gemma)0.043
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.023
Threshold uncertainty score0.122

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0230.043
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.028
GPT teacher head0.316
Teacher spread0.289 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2012
Admission routes2
Has abstractyes

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