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Record W4392399352 · doi:10.18103/mra.v12i2.5028

Amyloid Protein in AL-Amyloidosis. Natural History and Potential for Regression

2024· article· en· W4392399352 on OpenAlexaff
Charles A. Lefkowitz

Bibliographic record

VenueMedical Research Archives · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAmyloidosis: Diagnosis, Treatment, Outcomes
Canadian institutionsToronto East General HospitalUniversity of Toronto
Fundersnot available
KeywordsAmyloidosisAmyloid (mycology)Natural historyRegressionAmyloid fibrilMedicineComputational biologyChemistryBiologyInternal medicinePathologyAmyloid βStatisticsMathematicsDisease

Abstract

fetched live from OpenAlex

Amyloid light chain amyloidosis is the most commonly seen form of systemic amyloidosis and is characterized by the accumulation of circulating monoclonal immunoglobulin light chain precursors arising from an abnormal clone of plasma cells. These light chain precursors demonstrate a propensity for misfolding, aggregation and deposition as highly stable fibrillar cross-linked beta sheets in various tissues and organs in a manner characteristic of other forms of systemic amyloidosis. There have been great advances in the treatment of the underlying plasma cell dyscrasia with improved long-term survival but the persistence of extracellular amyloid deposits in the tissues of vital organs, particularly the heart and kidney remains a significant cause of morbidity and mortality even in those patients in whom a hematological complete response has been achieved. This review focuses on the importance of early diagnosis and treatment on limiting the extent of amyloid protein accumulation and organ dysfunction and the current state of knowledge on the potential for resorption and clearance of these amyloid deposits in patients with amyloid light chain amyloidosis. The status of current novel anti-fibrillar agents is reviewed and future strategies for effectively intervening to improve organ function and survival these individuals is discussed.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.820
Threshold uncertainty score0.618

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.022
GPT teacher head0.350
Teacher spread0.329 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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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