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Record W2315478388 · doi:10.20286/nova-jmbs-03038

The Total Pentad: a Case Report of Thrombotic Thrombocytopenic Purpura Presenting as an Acute Cerebrovascular Accident

2014· article· en· W2315478388 on OpenAlexvenueno aff
Marney Gruber, Benjamin I. Lee, Lisa Moreno‐Walton

Bibliographic record

VenueNova Journal of Medical and Biological Sciences · 2014
Typearticle
Languageen
FieldImmunology and Microbiology
TopicComplement system in diseases
Canadian institutionsnot available
Fundersnot available
KeywordsThrombotic thrombocytopenic purpuraMedicinePurpura (gastropod)Accident (philosophy)PediatricsInternal medicinePlateletPhilosophy

Abstract

fetched live from OpenAlex

Thrombotic Thrombocytopenic Purpura (TTP) is a rare blood-coagulation disorder that causes extensive thrombus formation within the blood vessels. Diagnosis of the disorder is made on the basis of identification of some or all of five clinical features, described as the typical “pentad”: thrombocytopenia, microangiopathic hemolytic anemia, fluctuating neurological symptoms, renal failure, and fever. We report the case of a middle aged female who presented to an urban teaching hospital emergency department. Her initial symptoms of TTP were subtle, making it difficult to achieve a definitive early diagnosis. Awareness of the disorder allowed us to follow through on monitoring for the pentad during the initial period of hospitalization and facilitated the diagnosis, which led to prompt and appropriate treatment. The patient made a complete and sustained recovery. Since prompt institution of plasmapheresis is essential to recovery, we share this case in order to increase the possibility that TTP will be considered in the differential diagnosis of patients presenting with all or part of the total pentad.

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)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.703
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.061
GPT teacher head0.356
Teacher spread0.295 · 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 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
Published2014
Admission routes1
Has abstractyes

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