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Record W2060540480 · doi:10.1159/000358481

Platelets for Neonatal Transfusion - Study 2: A Randomised Controlled Trial to Compare Two Different Platelet Count Thresholds for Prophylactic Platelet Transfusion to Preterm Neonates

2014· article· en· W2060540480 on OpenAlexaff
Anna Curley, Vidheya Venkatesh, Simon Stanworth, Paul Clarke, Timothy Watts, Helen V. New, Karen A. Willoughby, Rizwan Ahmad Khan, Priya Muthukumar, Alison Deary

Bibliographic record

VenueNeonatology · 2014
Typearticle
Languageen
FieldMedicine
TopicBlood transfusion and management
Canadian institutionsSt. Thomas Hospital
FundersNHS Blood and Transplant
KeywordsMedicinePlateletBleedPediatricsRandomized controlled trialPlatelet transfusionGestational ageGestationPregnancyInternal medicineSurgery

Abstract

fetched live from OpenAlex

INTRODUCTION: Neonatal thrombocytopenia is a common and important clinical problem in preterm neonates. A trial assessing clinically relevant outcomes in relation to the different platelet count thresholds used to trigger transfusion has never been undertaken in preterm neonates with severe thrombocytopenia. OBJECTIVES: Platelets for Neonatal Transfusion - Study 2 (PlaNeT-2) aims to assess whether a higher prophylactic platelet transfusion threshold is superior to the lower thresholds in current standard practice in reducing the proportion of patients who have a major bleed or die up to study day 28. METHODS: PlaNeT-2 is a two-stage, randomised, parallel-group, superiority trial. PlaNet-2 compares clinical outcomes in preterm neonates (<34 weeks' gestation at birth) randomised to receive prophylactic platelet transfusions to maintain platelet counts at or above either 25 × 10(9)/l or 50 × 10(9)/l. The primary outcome measure is the proportion of patients who either die or experience a major bleed up to and including study day 28. A total of 660 infants will be randomised. RESULTS AND CONCLUSIONS: This trial will help define optimal platelet transfusion support for severely thrombocytopenic preterm neonates by evaluating the risks and benefits of two different prophylactic neonatal platelet transfusion thresholds.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.097
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.000
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 head0.019
GPT teacher head0.298
Teacher spread0.280 · 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 designRandomized trial
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

Citations40
Published2014
Admission routes1
Has abstractyes

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