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Record W69217074

The fibrinolytic system in newborns and children.

2006· article· en· W69217074 on OpenAlexaff
Nagina Parmar, Manuela Albisetti, Leslie R. Berry, Anthony K.C. Chan

Bibliographic record

VenuePubMed · 2006
Typearticle
Languageen
FieldMedicine
TopicBlood Coagulation and Thrombosis Mechanisms
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsPlasminogen activatorPlasminFibrinolysisFibrinProteasesPlasminogen activator inhibitor-1MedicineImmunologyInternal medicineEndocrinologyBiologyBiochemistryEnzyme
DOInot available

Abstract

fetched live from OpenAlex

The fibrinolytic system comprises a series of serine proteases that interact to cleave fibrin into fibrin degradation products. Although all key components of the fibrinolytic system are present at birth, important age-dependent, quantitative and qualitative differences are present during childhood as compared to adults. These differences include decreased plasma concentrations of plasminogen, tissue-type plasminogen activator and alpha2-antiplasmin, increased plasma concentrations of plasminogen activator inhibitor-1, as well as a decrease in both plasmin generation and overall fibrinolytic activity. Increasing evidence suggests that these age-dependent differences may contribute to the development of specific childhood diseases and influence the course of fibrinolytic therapy, particularly in newborns. This review aims to summarize the available information on the age-dependent features of the fibrinolytic system in newborns and children in healthy and disease states and the impact of these features on fibrinolytic therapy.

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)0.000
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.012
GPT teacher head0.204
Teacher spread0.191 · 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

Citations70
Published2006
Admission routes1
Has abstractyes

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