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Record W2510203260 · doi:10.5114/pr.2015.51625

An apparent CEAP inconsistency: should the classification be revised?

2015· article· en· W2510203260 on OpenAlexfundno aff
Fausto Passariello, Malay Patel, Pier Luigi Antignani

Bibliographic record

VenuePhlebological Review · 2015
Typearticle
Languageen
FieldMedicine
TopicGenital Health and Disease
Canadian institutionsnot available
FundersMcMaster University
KeywordsPhilosophy

Abstract

fetched live from OpenAlex

CEAP is a score designed to give a synthetic description of chronic venous insufficiency (CVI). There is a conflict between the original 1996 CEAP classification and the 2004 revision. The former used a detailed anatomical representation in the anatomical A category, while the latter shifted the same codes to the pathological P category, yielding unexpected advantages. Two similar clinical cases are presented: they are assigned the same score under the original CEAP, while the revision is able to differentiate between them. The CEAP score is not designed as a clinical dossier, but it gives an instantaneous image of a clinical condition, which however is not suitable to follow the evolution of CVI. The shunt classification is another theoretical framework useful to the comprehension of chronic venous diseases. The advanced terms of CEAP are not in conflict with the shunt classification, while they could be only complementary points of view. This work started from a debate on the Vasculab message list. From the discussion the need of a new revision appeared clear. A decision was made to undertake an On Line CEAP survey, which is still in progress. The results will be available in the near future and we hope they will be useful to guide any eventual official revision.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.875
Threshold uncertainty score0.414

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
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 head0.487
GPT teacher head0.476
Teacher spread0.012 · 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 designNot applicable
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
Published2015
Admission routes1
Has abstractyes

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