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Record W4411058671 · doi:10.14740/jh2055

Amyloid Light Chain Amyloidosis Masquerading as Scleroderma: A Diagnostic Challenge

2025· article· en· W4411058671 on OpenAlexvenueno aff
Kriti Dhamija, Rahim Jiwani, Arjun Lakshaman, Santhosh Sadashiv, Prerna Mewawalla

Bibliographic record

VenueJournal of Hematology · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAmyloidosis: Diagnosis, Treatment, Outcomes
Canadian institutionsnot available
FundersAllegheny Health Network
KeywordsAmyloidosisMedicineAmyloid (mycology)Scleroderma (fungus)PathologyImmunoglobulin light chainSerum amyloid ADermatologyImmunologyAntibodyInflammation

Abstract

fetched live from OpenAlex

Systemic amyloidosis has diverse, often nonspecific, clinical manifestations that overlap or mimic other medical disorders, making amyloidosis a diagnostic challenge. We present a case of a middle-aged female who presented with skin thickening, fatigue, arthritis, and macroglossia, which were initially thought to be due to systemic sclerosis. With no response to immunosuppressive therapies, she was tested for plasma cell dyscrasias. Additional work-up and cardiac biopsy were positive for amyloid light chain (AL) amyloidosis. The diagnosis was delayed by 2 years because the protein electrophoresis ordered at the initial encounter was not accompanied by serum-free light chain testing. This case emphasizes the importance of considering amyloidosis in patients with unexplained systemic symptoms and highlights the role of a comprehensive diagnostic evaluation.

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)0.002
metaresearch head score (Gemma)0.006
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 score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.003
Open science0.0010.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0010.001

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 head0.009
GPT teacher head0.269
Teacher spread0.260 · 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
Published2025
Admission routes1
Has abstractyes

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