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Eficacia de las células estromales mesenquimales (MSC) como tratamiento para pacientes con enfermedad obstructiva crónica (EPOC): Revisión Sistemática

2023· article· es· W4380874696 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

VenueRECIMUNDO · 2023
Typearticle
Languagees
FieldMedicine
TopicMesenchymal stem cell research
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsMedicineHumanitiesGynecologyPhilosophy

Abstract

fetched live from OpenAlex

Objetivo: Determinar la eficacia del tratamiento con células estromales mesenquimales (MSC), en pacientes con enfermedad pulmonar obstructiva crónica (EPOC). Materiales y métodos: Análisis descriptivo, corte transversal, orientado hacia una revisión sistemática de artículos en inglés, publicados durante los últimos 6 años, en bases de datos como: PubMed, ScienceDirect, ClinicalTrials.gov; a través del uso de descriptores (DeCS) y operadores booleanos como: “Mesenchymal Stromal Cells¨ AND ¨Therapy¨ AND ¨COPD¨. Resultados: Se determinó que las MSC son prometedoras para aplicaciones terapéuticas en EPOC, dada la facilidad para obtenerlas, su escasa inmunogenicidad, sus propiedades reparadoras tisulares e inmunomodulación. Conclusiones: El éxito de esta terapia a las semanas o meses de la terapia con MSC, van a depender de la fase de la enfermedad, la presencia de exacerbaciones y factores de riesgo asociados a cada paciente.

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)0.003
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.381
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.003
Science and technology studies0.0010.002
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.006

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 head0.080
GPT teacher head0.377
Teacher spread0.297 · 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