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Record W2915739783 · doi:10.3138/jammi.2018-0033

Marked elevation of serum ferritin associated with <i>Anaplasma phagocytophilum</i> infection

2019· article· en· W2915739783 on OpenAlexaffvenue
Andrew Walkty, James A. Karlowsky, Ryan Zarychanski, Kamran Kadkhoda, Philippe Lagacé‐Wiens

Bibliographic record

VenueJournal of the Association of Medical Microbiology and Infectious Disease Canada · 2019
Typearticle
Languageen
FieldMedicine
TopicViral Infections and Vectors
Canadian institutionsUniversity of ManitobaManitoba Health
Fundersnot available
KeywordsAnaplasma phagocytophilumBiologyFerritinVirologyElevation (ballistics)ImmunologyAntibodyMathematics

Abstract

fetched live from OpenAlex

Human granulocytic anaplasmosis (HGA) is a tick-borne disease caused by the intracellular bacterial pathogen Anaplasma phagocytophilum. Patients typically present with non-specific symptoms, including high fever, headache, malaise, and myalgias. Laboratory investigations often reveal leukopenia, thrombocytopenia, and an elevation in serum hepatic aminotransferases. A marked elevation in ferritin with or without other features of hemophagocytic/macrophage activation syndrome has been occasionally reported in patients with A. phagocytophilum infection. A case of HGA is described in which the patient had an elevated ferritin of 1964 μg/L. For patients presenting with features of hemophagocytic syndrome including a markedly elevated ferritin, infection with A. phagocytophilum should be considered in the differential diagnosis in the appropriate clinical context (i.e., at-risk geographic location, season, tick exposure) as this distinction has management implications.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.004
GPT teacher head0.205
Teacher spread0.202 · 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 designCase report
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

Citations1
Published2019
Admission routes2
Has abstractyes

Explore more

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