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Tertiary prophylaxis in adults: is there a rationale?

2012· review· en· W2039232811 on OpenAlexfundno aff
A. Gringeri, Thierry Lambert, Alison Street, Louis M. Aledort

Bibliographic record

VenueHaemophilia · 2012
Typereview
Languageen
FieldMedicine
TopicHemophilia Treatment and Research
Canadian institutionsnot available
FundersNovo NordiskBayer HealthCareSick Kids Foundation
KeywordsMedicineHaemophiliaIntensive care medicineSecondary prophylaxisClinical researchMEDLINEOn demandClinical trialPediatricsSurgeryInternal medicine

Abstract

fetched live from OpenAlex

There is lack of evidence-based recommendations or clear-cut consensus regarding the clinical and economic utility of regular prophylaxis started in adulthood, with the aim of keeping the clinical situation from getting worse by prevention of further bleeds contributing to increasing musculo-skeletal or other morbidity in haemophilia. Such a prophylaxis program has been shown in relatively small cohorts to be effective in reducing bleeding occurrence, with a variable effect on the joint status, but with significantly higher factor consumption and consequently higher costs than on-demand therapy. There has been no attempt to identify subsets of patients who may benefit from "tertiary" prophylaxis more than others, for example, due to their bleeding phenotype and/or requirements for product issued on-demand or to identify the dosage that provides the optimal balance of clinical benefit and cost effectiveness. This article reviews the published literature on prophylaxis started beyond the age of 18 years, the barriers to the uptake of prophylaxis programs particularly in adults and highlights areas in need of further research.

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)0.003
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0050.001

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 head0.074
GPT teacher head0.357
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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations26
Published2012
Admission routes1
Has abstractyes

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