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Record W2488547294 · doi:10.1080/09712119.2016.1218888

Therapeutic doses of plasma rich in growth factors cannot provoke cancer by means of the IGF-1 pathway or inflammation in dogs

2016· article· en· W2488547294 on OpenAlexfundno aff
J. M. Vilar, Elena Damiá, Mónica Rubio, Ángelo Santana, Joaquín J. Sopena, J. M. Castro Cerón, Asta Tvarijonaviciute, Ramón Cugat, José M. Carrillo

Bibliographic record

VenueJournal of Applied Animal Research · 2016
Typearticle
Languageen
FieldMedicine
TopicGrowth Hormone and Insulin-like Growth Factors
Canadian institutionsnot available
FundersWorld Anti-Doping Agency
KeywordsInflammationMedicineInsulin-like growth factorInternal medicineCancerC-reactive proteinSystemic inflammationGrowth factorEndocrinologyIntramuscular injectionReceptor

Abstract

fetched live from OpenAlex

A potential relationship between an increased risk of cancer and increased levels of serum insulin-like growth factor-1 (IGF-1), and presence of cancer and high levels of C-reactive protein (CRP) has been previously reported. This study evaluated the influence of a single intramuscular injection of plasma rich in growth factors (PRGF) on serum concentrations of IGF-1 and CRP in dogs. Two groups of eight healthy beagles were injected with two different doses of PRGF in lumbar muscles. For each treatment, IGF-1 and CRP were analysed from blood samples obtained at baseline and the following three days post injection. No differences were found when IGF-1 and CRP were compared among times in the two protocols. Local application of PRGF at clinical doses did not cause significant changes in systemic concentrations of IGF-1 or detectable inflammation.

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)0.002
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.106
Threshold uncertainty score0.328

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
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 head0.063
GPT teacher head0.340
Teacher spread0.277 · 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 designBench or experimental
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

Citations3
Published2016
Admission routes1
Has abstractyes

Explore more

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