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Record W4402112448 · doi:10.14740/jh1267

Optic Disc Infiltration as a Sign of Multiple Myeloma Recurrence

2024· article· en· W4402112448 on OpenAlexvenueno aff
Maria Pantelidou, Eleni Dimitriou, Konstantinos Gkontopoulos, Thomas Thomopoulos, Vasiliki Pappa, Sotirios G. Papageorgiou, Panagiotis Theodossiadis, Irini Chatziralli

Bibliographic record

VenueJournal of Hematology · 2024
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMultiple myelomaInfiltration (HVAC)Sign (mathematics)PathologyRadiologyInternal medicineMathematics

Abstract

fetched live from OpenAlex

Multiple myeloma is a plasma cell dyscrasia with an age-standardized incidence of 3 - 4 per 100,000 in the Caucasian population. It is the second most common hematological malignancy after non-Hodgkin lymphoma, representing 1% of all cancers. Herein, we present a case report of multiple myeloma with ocular involvement as a sign of recurrence. A 62-year-old woman, with a known history of lambda light chain multiple myeloma, presented with reduced visual acuity in both eyes while on maintenance chemotherapy. The patient also had mild unsteadiness and fatigue. Fundus examination revealed bilateral optic disc swelling and hemorrhages of the posterior pole. Magnetic resonance imaging disclosed no abnormalities. Although no biopsy of the optic nerve was possible, intracranial pressure was elevated and cerebrospinal fluid was riddled with neoplastic cells, affirming the diagnosis. After 2 months of chemotherapy, visual function and the appearance of the posterior pole returned to normal. In cases of multiple myeloma, mechanisms, such as hyperviscosity syndrome, microvascular impairment and optic nerve and meningeal infiltration on a cellular level may have played a pivotal role in the ocular involvement, which can be the first sign of recurrence.

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)0.002
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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
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 head0.031
GPT teacher head0.348
Teacher spread0.317 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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