MétaCan
Menu
Back to cohort
Record W7019120210

Estudio retrospectivo de las neoplasias de sistema nervioso central en caninos en el laboratorio de patología veterinaria de la Universidad Nacional de Colombia entre los años 1977 y 2009 / Retrospective study of the central nervous system neoplasm in dogs in the laboratory of veterinary pathology at Universidad Nacional de Colombia between 1977 and 2009

2010· other· es· W7019120210 on OpenAlexaboutno aff

Bibliographic record

VenueRepositorio Institucional UN - Biblioteca Digital · 2010
Typeother
Languagees
FieldMedicine
TopicVeterinary Oncology Research
Canadian institutionsnot available
Fundersnot available
KeywordsFirst lineFirst line treatmentProtein-Tyrosine Kinases
DOInot available

Abstract

fetched live from OpenAlex

Los tumores de Sistema Nervioso Central (S.N.C) se clasifican en primarios aquellos que se derivan directamente a partir del tejido nervioso encefálico y/o medular espinal, y secundarios aquellos tumores que se originan en tejidos extraneurales. En caninos se han reportado diversos tumores primarios y se han clasificado en grupos de acuerdo al tejido de origen: tumores de los nervios, tumores de origen glial, gliomas mixtos, tumores originados de la meninge, tumores del epéndima y plexo coroideo, tumores neuronales embrionales y tumores del cordón espinal. En el presente trabajo se hizo en primer lugar una revisión sobre los principales tumores primarios del SNC que se presentan en caninos, resaltando los aspectos morfológicos y de comportamiento más característicos para cada uno. En segundo término se presenta un estudio retrospectivo tumores del SNC en el Laboratorio de Patología de la facultad de Medicina Veterinaria y Zootecnia de la Universidad Nacional de Colombia en el periodo comprendido entre los años 1977 y 2009. Los resultados mostraron un total de 18 tumores del SNC de los cuales el 61,1% (11) fueron tumores primarios y el 38,8% (7) metastásicos. Las razas más afectadas fueron el French Poodle y el Bóxer con un 27.7% y el Labrador con un 11.1%. La edad promedio de presentación fue en perros mayores de 7 años con un 55.5% de presentación. Los tumores que se diagnosticaron con mayor frecuencia fueron el astrocitoma en primer con un 34.4% y el oligodendroglioma con el 27.3%, en segundo lugar. Además se utilizaron por primera vez inmunomarcadores humanos como PAFG, S-100, EMA, fosfatasa alcalina placentaria para la confirmación del diagnóstico. Se concluyó que estos marcadores pueden ser usados en el diagnóstico rutinario de los tumores del SNC y que serían una herramienta importante para precisar el diagnóstico morfológico. / Abstract. Central nervous system tumors (C.N.S) are classified in primary that are derived directly from the nervous tissue brain and/or spinal cord, and secondary those that originate in extraneural . There are several reports of canine primary tumors and there have being classified in groups according to the origin: nerve tumors, tumors of the ependima, choroid plexus, embrional neural tumours and spinal cord tumors, glial tumors, mixed gliomas, meningeal origen tumors. In this work first we present a review of the main canine primary tumors of the CNS, highlighting the morphological aspects and behavior characteristic. Besides we show a retrospective study of the CNS tumors presented in the Laboratory of Veterinary Pathology of the of National University of Colombia in the period between 1977 and 2009. The results showed a total of 18 tumors of the CNS, 61.1% (11) were primary tumors and 38.8% (7) metastatic. The most affected breeds were French Poodle and the Bóxer (27.7%) and Labrador with (11.1%). The average age of presentation was over 7 years of dogs (55.5%). The mos frecuent tumors were astrocytoma in first with 34.4% and oligodendroglioma with 27.3% in second place. In addition we used for the first time human immunomarkers as PAFG, S-100, EMA, placental alkaline phosphatase to confirm the diagnosis. It was concluded that these markers can be used for routine diagnosis of CNS tumors and that would be an important tool to explain morphological diagnosis.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0020.004
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0030.004
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 head0.008
GPT teacher head0.273
Teacher spread0.264 · 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; both teacher heads agree on what is shown here.

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
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueRepositorio Institucional UN - Biblioteca DigitalSame topicVeterinary Oncology ResearchFrench-language works237,207