MétaCan
Menu
Back to cohort
Record W2989530312 · doi:10.1182/blood-2019-128336

Second-Line Therapy for Immune Thrombocytopenia: Real-World Experience

2019· article· en· W2989530312 on OpenAlexaffabout
Hasmik Nazaryan, Yang Liu, Emily Sirotich, Joanne Duncan, Donald M. Arnold

Bibliographic record

VenueBlood · 2019
Typearticle
Languageen
FieldMedicine
TopicPlatelet Disorders and Treatments
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineRituximabRomiplostimAzathioprineEltrombopagPediatricsDanazolCohortInternal medicineSplenectomyPopulationDiscontinuationThrombopoietin receptorThrombopoietinImmune thrombocytopeniaSurgeryDiseasePlateletLymphoma

Abstract

fetched live from OpenAlex

Background: Immune Thrombocytopenia (ITP) is an autoimmune platelet disorder that can lead to serious morbidity caused by bleeding and therapy-associated toxicities. The sequence of first-line therapies is well-defined, but the sequence of second-line therapies lacks consensus. A description of real-world experience is necessary to understand practice patterns with respect to second-line therapies and identify gaps in care. The objective of this study was to describe the types and chronological sequences of second-line therapies in a large cohort of ITP patients. Methods: This was a retrospective cohort study. The population was derived from the McMaster ITP Registry, a prospective longitudinal registry of patients presenting with thrombocytopenia (platelets <150 × 109/L) to an academic hematology clinic in Hamilton, Canada. Inclusion criteria were: 1) diagnosis of primary or secondary ITP at most recent follow-up; 2) received one or more second-line therapy since initial ITP diagnosis; and 3) ≥6 months of follow up. No exclusions were applied. The sequence of second-line therapies was determined by treatment start dates. For treatments that were administered before enrollment in the registry, the order of treatment was determined by the reported treatment start date. When the start date was not reported, the sequence of treatments was assumed to be the order in which they were mentioned in the medical records. Second-line therapies included: splenectomy; rituximab; danazol; dapsone; thrombopoietin receptor agonists (TPO-RAs): eltrombopag or romiplostim; and immunosuppressants: mycophenolate, cyclosporine, azathioprine or cyclophosphamide. Results: From January 2010 to December 2017, 789 patients with thrombocytopenia were registered in the McMaster ITP Registry. Of those, 204 had ITP and received second-line therapy (57.4% female). Median duration of ITP from the initial presentation to the most recent diagnosis was 9 years (IQR, 4-19). The proportion of patients who received each type of second-line therapy at any time were immunosuppressants (n=106, 52.0%), splenectomy (n=106, 52.0%), TPO-RAs (n=75, 36.8%), danazol (n=73, 35.8%), rituximab (n=67, 32.8%), and dapsone (n=4, 2.0%). Overall, 69 unique treatment sequences were identified. For patients who received one second-line treatment only (n=88), the most common single treatment was splenectomy (n=28, 31.8%), followed by immunosuppressants (n=21, 23.9%) and danazol (n=18, 20.5%) (Figure 1). For patients who received more than one second-line therapy (n=116), the most common treatment sequences were splenectomy followed by immunosuppressants (n=7, 6.0%); immunosuppressants followed by rituximab (n=6, 5.0%), and immunosuppressants followed by danazol (n=5, 4.0%). In patients who received each of these therapies, the last second-line treatments received were TPO-RAs (52/75, 69.3%), immunosuppressants (45/106, 42.5%), rituximab (37/67, 55.2%), splenectomy (36/106, 33.9%), danazol (33/73, 45.2%), and dapsone (1/4, 25%). Conclusion: The types and sequences of second-line therapies for ITP were variable in a large Canadian academic center, where access to certain treatments including TPO-RAs and rituximab is limited. In this setting, splenectomy and immunosuppressant medications were commonly used as early second-line therapies. TPO-RAs were most often the last second-line treatment in the sequence of therapies used. Drug accessibility and other factors related to the choice of second-line therapies require further evaluation. Disclosures Arnold: Bristol-Myers Squibb: Research Funding; Principia: Consultancy; Rigel: Consultancy, Research Funding; Novartis: Honoraria, Research Funding.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.023
GPT teacher head0.306
Teacher spread0.282 · 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

Citations2
Published2019
Admission routes2
Has abstractyes

Explore more

Same venueBloodSame topicPlatelet Disorders and TreatmentsFrench-language works237,207