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Record W2769578901 · doi:10.1002/cyto.b.21603

Initial flow cytometric evaluation of the Clearllab lymphoid screen

2017· article· en· W2769578901 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCytometry Part B Clinical Cytometry · 2017
Typearticle
Languageen
FieldMedicine
TopicLymphoma Diagnosis and Treatment
Canadian institutionsWestern UniversityCalgary Laboratory ServicesLondon Health Sciences Centre
Fundersnot available
KeywordsPopulationMalignancyImmunophenotypingHematologic NeoplasmsCD5AntibodyMedicineCD20Minimal residual diseaseFlow cytometryPathologyLymphomaLeukemiaImmunologyInternal medicineTransplantation

Abstract

fetched live from OpenAlex

INTRODUCTION: Flow cytometric immunophenotyping (FCI) is an integral part in the diagnosis and classification of hematologic malignancies. FCI results also influence therapeutic decisions and disease prognosis. ClearLLab LS is a 12-antibody 10-color cocktail provided in dry format designed as a screen for patients suspected of having hematolymphoid disease. METHODS: A blinded comparison between ClearLLab LS, (CD8-FITC, Kappa-FITC,CD4-PE, Lambda-PE, CD19-ECD, CD56-PE-Cy5.5, CD10-PE-Cy7, CD34-APC, CD5-APC-A700, CD20-APC-A750, CD3-PB, and CD45-KrO), ClearLLab Reagents (five-color, 17-antibodies) and individual Laboratory Developed Tests (LDTs), was conducted at four laboratories. Evaluation of ClearLLab LS was performed on 210 specimens, compared to the five-color ClearLLab Reagents (IVD and CE-IVD), and a subset (n = 167) to LDTs. RESULTS: ClearLLab LS showed good agreement to ClearLLab Reagents in detecting the absence (104/104) or presence (106/106) of abnormal populations. Of specimens with abnormal populations the ClearLLab LS agreed with the ClearLLab Reagent for neoplasm maturity assessment (70/70 mature and 36/36 immature). Out of 167 specimens with LDTs results, 86 contained abnormal population(s), ClearLLab LS detected 82 (95.3%) of cases. Of the 4 cases not detected by ClearLLab LS, 3 were plasma cell neoplasms and 1 was a mature T cell malignancy. Eighty-one samples with no hematological malignancy as analyzed by LDT were also negative by ClearLLab LS (100% agreement). ClearLLab LS agreed with LDTs assessment of neoplasms' maturity (55/55 mature and 27/27 immature). CONCLUSION: ClearLLab LS screening tube showed excellent agreement between ClearLLab Reagents and with LDT's. The presence of CD34 and CD10 in the tube allowed the detection of blast populations in several acute leukemias and myeloid neoplasms that were tested. © 2017 International Clinical Cytometry Society.

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.

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)0.006
metaresearch head score (Gemma)0.018
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.140
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.206
GPT teacher head0.474
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