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National Survey of Hemapheresis Practice in Hungary 2001–2004

2007· article· en· W1992314863 on OpenAlexaboutno aff
Mihály Belák, János Jakó

Bibliographic record

VenueTherapeutic Apheresis and Dialysis · 2007
Typearticle
Languageen
FieldImmunology and Microbiology
TopicComplement system in diseases
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineTherapeutic plasma exchangeFamily medicineApheresisSurgeryInternal medicine

Abstract

fetched live from OpenAlex

In the current study, the authors evaluated data provided by Hungarian hemapheresis centers to the National Health Insurance (NHI) organization between 2001 and 2004 with the intention of having costs reimbursed. The primary objective of the present study was to rank data by frequency of indications of therapeutic plasma exchange (TPE). Furthermore, we compared frequency data with the Canadian TPE Registry and reviewed medical evidence regarding the adequacy of applying TPE at chosen indications based on data in literature. It was concluded that the number of TPEs (and thus the reimbursed costs) increased steadily year by year. It is worth considering the difference between the five most frequent indications of TPE in Hungary or in Canada. Clinicians tend to apply TPE in many cases as a last resort treatment of many diseases unresponsive to conventional therapy. Consequently, there are many illnesses for which the value of TPE is still questionable (or unproven) and its use is considered investigational or experimental. Nevertheless, cumulative medical experience does not always confirm the adequacy of TPE in all treatments, retrospectively. Thus, limited financial resources oblige clinicians to be judicious in providing apheresis services.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.144
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
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)0.0020.000

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 head0.044
GPT teacher head0.327
Teacher spread0.283 · 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 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

Citations11
Published2007
Admission routes1
Has abstractyes

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