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Record W3201060690 · doi:10.1016/j.cct.2021.106546

A reanalysis of pain crises data from the pivotal l-glutamine in sickle cell disease trial

2021· article· en· W3201060690 on OpenAlexaff
Ahmar U. Zaidi, Jeremie H. Estepp, Nirmish Shah, Salam Alkindi, Hatoon Ezzat, Hung‐Ming Lam, Caterina P. Minniti

Bibliographic record

VenueContemporary Clinical Trials · 2021
Typearticle
Languageen
FieldMedicine
TopicHemoglobinopathies and Related Disorders
Canadian institutionsUniversity of British ColumbiaSt. Paul's Hospital
FundersNovo NordiskChiesi FarmaceuticiNovartisMassachusetts Medical SocietyRochePfizer
KeywordsMedicineDiseaseClinical endpointGlutamineIncidence (geometry)Clinical trialSickle cell anemiaInternal medicineIntensive care medicine

Abstract

fetched live from OpenAlex

The pivotal Endari trial in sickle cell disease showed a reduction in pain crises events. This reanalysis of the l-glutamine phase 3 trial using annual rates of pain crises, consistent with other SCD studies, supported the statistically significant outcomes of the original analysis. The observed 45% difference in the VOC rate is comparable to what was reported in other sickle cell therapeutics used to reduce the incidence of pain. The results presented in this communication are informative for clinicians evaluating treatment effects across available SCD therapeutic options based on studies that utilized VOC as the primary endpoint.

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)0.018
metaresearch head score (Gemma)0.028
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: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.097

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.028
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.004
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0020.001
Open science0.0010.000
Research integrity0.0010.002
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 head0.399
GPT teacher head0.464
Teacher spread0.065 · 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

Citations12
Published2021
Admission routes1
Has abstractyes

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