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Record W2139018650 · doi:10.3109/08880018.2014.886002

Circulating T-Regulatory Cells in Neuroblastoma: A Pilot Prospective Study

2014· article· en· W2139018650 on OpenAlexaff
TVSVGK Tilak, Surender Sherawat, Sandeep Agarwala, Ritu Gupta, Sreenivas Vishnubhatla, Sameer Bakhshi

Bibliographic record

VenuePediatric Hematology and Oncology · 2014
Typearticle
Languageen
FieldMedicine
TopicNeuroblastoma Research and Treatments
Canadian institutionsPediatric Oncology Group
Fundersnot available
KeywordsMedicineFOXP3NeuroblastomaChemotherapyInternal medicineOncologyProspective cohort studyIL-2 receptorTumor progressionGastroenterologyImmunologyCancerImmune systemT cell

Abstract

fetched live from OpenAlex

The objective of our study was to determine baseline Tregs in neuroblastoma patients and correlate with patient characteristics, their change with therapy and at relapse/progression. Flow-cytometric analysis for Treg cells [CD4+CD25+FoxP3+] was done in 14 de novo neuroblastoma patients at diagnosis, post-neoadjuvant chemotherapy and at relapse/progression, along with six healthy controls. Patients had significantly higher baseline Treg frequency than controls [Mean 9.84 ± 3.84 vs 3.16 ± 1.49, P < .001]; higher mean Treg frequency in patients with tumors >10 cm (P = .004) and there was significant reduction in Treg frequency with neoadjuvant chemotherapy when compared with the baseline value [Mean 3.07 ± 1.24 vs 9.72 ± 3.84, P = .007].

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)0.000
metaresearch head score (Gemma)0.000
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 score0.015
Threshold uncertainty score0.662

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.306
Teacher spread0.289 · 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

Citations24
Published2014
Admission routes1
Has abstractyes

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