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Record W2007147462 · doi:10.1055/s-2005-925469

Autoimmunity in Thrombotic Thrombocytopenic Purpura

2005· review· en· W2007147462 on OpenAlexaff
Camillo Porta, Roberto Caporali, Carlomaurizio Montecucco

Bibliographic record

VenueSeminars in Thrombosis and Hemostasis · 2005
Typereview
Languageen
FieldImmunology and Microbiology
TopicComplement system in diseases
Canadian institutionsUniversity Hospital Foundation
Fundersnot available
KeywordsMedicineRituximabThrombotic thrombocytopenic purpuraImmunologyAutoantibodyPlasmapheresisAutoimmunityADAMTS13ImmunosuppressionAntiphospholipid syndromePathogenesisAntibodyPlatelet

Abstract

fetched live from OpenAlex

In the last few years, an autoimmune hypothesis for the pathogenesis of thrombotic thrombocytopenic purpura (TTP) has been proposed often, with variable success because of inconsistent supporting data. We are now aware that at least one subgroup of TTP patients does present with pathogenic autoantibodies (i.e, anti-ADAMTS13); this group consequently is a putative candidate for a curative treatment including plasma exchange (still the cornerstone of TTP treatment), together with corticosteroids or other immunosuppressants. Furthermore, for patients not responding to or relapsing following plasma exchange, the use of stronger immunosuppression (e.g., with the use of the anti-CD20 monoclonal antibody rituximab) should be considered as appropriate. Conversely, few data are actually available regarding the complex relationship between TTP and the antiphospholipid (aPL) syndrome, as well as other autoimmune diseases. Indeed, a correct differential diagnosis should be done on the basis of both different clinical presentations and autoantibody profile. At present, the presence of aPL antibodies should give evidence against a diagnosis of TTP, even though we cannot exclude that aPL antibodies may, in a minority of patients, be associated with a primary endothelial damage ultimately resulting in overt TTP.

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), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.984
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.110
GPT teacher head0.388
Teacher spread0.278 · 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 designOther design
Domainnot available
GenreReview

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

Citations8
Published2005
Admission routes1
Has abstractyes

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