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Record W4286696362 · doi:10.30699/mmlj17.2.1.20

Serum Free Light-chain Assay for the Diagnosis, Management, and Prognosis of Multiple Myeloma

2019· article· en· W4286696362 on OpenAlexvenueno aff
Nawal Rahmani, El-houcine Sebbar, Adnane Aarab, Ali Azghar, Mohammed Choukri

Bibliographic record

VenueModern Medical Laboratory Journal · 2019
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMultiple myelomaImmunoglobulin light chainMedicineHeavy chainMonoclonalIntensive care medicineMedical physicsImmunologyAntibodyMonoclonal antibody

Abstract

fetched live from OpenAlex

In recent decades, new serum biomarkers have been developed for routine laboratory practice, such as assaying serum free light chains and more recently, assaying immunoglobulin heavy and light chain isotypes (Hevylite).In this work, we highlight the interest of new biomarkers (Hevylite Test) in the management of monoclonal gammopathies because of the technical advantages it confers and the sensitive and unique clinical information that can be drawn from them.Data from the latest studies show changes in the practice and use of Freelite and Hevylite tests in particular situations in the diagnosis and monitoring of MM, in situations where the monitoring of the tumor mass by conventional techniques is difficult.Freelite and Hevylite tests are proving to be of great benefit.The sFLC assay has already been recommended by international myeloma experts since 2009.There is no doubt that an integration of the Hevylite test for the diagnosis and monitoring of IgA MM will be done in the near future.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.119
Threshold uncertainty score0.456

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.018
GPT teacher head0.286
Teacher spread0.268 · 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 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
Published2019
Admission routes1
Has abstractyes

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