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Record W2922421833 · doi:10.1182/blood-2018-99-117184

Human Plasminogen Replacement Therapy Vs. Best Supportive Care in Patients with Congenital Plasminogen Deficiency: A Comparison of Health Care Resource Use over a 48-Week Period

2018· article· en· W2922421833 on OpenAlexaff
George Dranitsaris, Kristine Dorward, Hande Kızılocak, Tiraje Çelkan

Bibliographic record

VenueBlood · 2018
Typearticle
Languageen
FieldMedicine
TopicBlood Coagulation and Thrombosis Mechanisms
Canadian institutionsAugmentium Pharma Consulting (Canada)
Fundersnot available
KeywordsMedicineClinical trialPediatricsRandomized controlled trialHealth careInternal medicineSurgery

Abstract

fetched live from OpenAlex

Abstract Background: Congenital plasminogen deficiency (CPD), is an ultra-rare autosomal recessive disorder that causes severe and debilitating clinical sequelae. Clinical signs are characterized by ligneous conjunctivitis, gingivitis, otitis media, impaired wound healing and even hydrocephalus. Current disease management includes surgery and systemic/topical therapies, but successful clinical responses are few and recurrences are typically rapid. Intravenous (IV) human plasminogen is a new treatment for CPD currently undergoing regulatory review in the United States. A recent clinical trial demonstrated that regular infusions of plasminogen IV (every 2 to 4 days) induced near complete and long term durable responses in affected patients. The current study compared overall health care resource use required to manage clinical manifestations of CPD for patients treated with human plasminogen in the clinical trial relative to a historical control group. Methods: The registration trial database was used to extract health care resource data in CPD patients (n=14) who received human plasminogen IV therapy throughout a 48-week period. Total health care resource use was compared to a control sample consisting of CPD patients (n=16) who did not receive human plasminogen IV and were managed with only best supportive care (BSC) over a one year period from the date of diagnosis. Health care resource extraction consisted of topical and systemic therapies such as fresh frozen plasma (FFP), clinic visits, surgical interventions and hospital admissions related to CPD. Results: A total of 16 patients who received BSC in either the United States (n=3), Spain (n=3) and Turkey (n=10) were identified and formed the control group. Over a 12-month assessment period, there were 304 clinic visits and 65 days of hospitalization for CPD related complications. IV FFP was given to 12 of 16 (75%) patients, which translated to 246 individual FFP doses administered (dose range = 5 to 15 mg/kg) over 12 months. Furthermore, there were 54 eye surgeries performed on the 16 control patients to remove ligneous membranes. In contrast, none of the 14 patients treated with plasminogen IV required surgical interventions, hospital admissions or FFP infusions over the 48-week treatment period (p < 0.001). There were also significant reductions in all types of supportive therapy in the human plasminogen treated patients relative to their utilization at baseline (p < 0.05). Conclusions: Human plasminogen replacement therapy was able to significantly offset health care resource use compared to patients receiving BSC only. Patients in the trial were also able to incorporate IV human plasminogen therapy into their weekly routine, with administrations often performed at home. Disclosures Dranitsaris: Prometic Life Sciences Inc.: Consultancy. Dorward:Prometic Life Sciences Inc.: Employment.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.033
GPT teacher head0.300
Teacher spread0.266 · 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 designNon-randomized 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

Citations0
Published2018
Admission routes1
Has abstractyes

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