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Record W4417041654 · doi:10.1182/hematology.2025000701

The varieties of therapeutic experience: navigating treatment options for patients with PNH

2025· article· en· W4417041654 on OpenAlexaff
Marc Bienz, Christopher J. Patriquin

Bibliographic record

VenueHematology · 2025
Typearticle
Languageen
FieldImmunology and Microbiology
TopicComplement system in diseases
Canadian institutionsUniversity Health NetworkMcGill UniversityUniversity of TorontoJewish General Hospital
Fundersnot available
KeywordsEculizumabParoxysmal nocturnal hemoglobinuriaDiseaseComplement (music)Complement systemTransplantationStem cell

Abstract

fetched live from OpenAlex

Paroxysmal nocturnal hemoglobinuria (PNH) is a rare, acquired disorder of complement dysregulation, predisposing patients to complications of intravascular hemolysis, thrombophilia, and marrow failure, with a high risk of mortality without treatment. Allogeneic stem cell transplantation is the only current cure but is typically reserved for marrow failure-predominant disease or when targeted therapies are not available. Terminal complement inhibition with eculizumab has significantly altered management and outcomes for patients with PNH, and the last several years have seen the development and approval of many new complement inhibitors with different molecular targets. Newer inhibitors may also provide options for extended time between doses, for self-administration, and for management of iatrogenic extravascular hemolysis, which can occur secondary to C5 inhibition. This essay reviews the various therapeutic options potentially available to PNH patients, the pros and cons of each treatment, considerations regarding the monitoring of side effects, and the possible complications, as well as breakthrough hemolysis and an approach to shared decision-making.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.453
Threshold uncertainty score0.250

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.014
GPT teacher head0.303
Teacher spread0.289 · 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.

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

Citations0
Published2025
Admission routes1
Has abstractyes

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