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Enfermedad por coronavirus (COVID-19) en embarazo, parto y lactancia

2020· article· es· W3087364659 on OpenAlexaff
José Enrique Sanín-Blair, Nataly Muñoz-Velasquez, Viviana Marcela Mesa-Ramirez, María Nazareth Campo-Campo, Jorge Hernán Gutiérrez-Marín, José Rojas‐Suarez, Jorge E. Tolosa

Bibliographic record

VenueCES Medicina · 2020
Typearticle
Languagees
FieldMedicine
TopicCOVID-19 Impact on Reproduction
Canadian institutionsUniversity Health Network
Fundersnot available
KeywordsCoronavirus disease 2019 (COVID-19)MedicineHumanitiesSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)2019-20 coronavirus outbreakVirologyPhilosophy

Abstract

fetched live from OpenAlex

La pandemia de COVID-19 ha generado múltiples interrogantes respecto a su comportamiento en la población gestante y en los resultados perinatales. Los datos disponibles sobre la infección por SARS-CoV-2 en el embarazo son limitados. Se realizó una búsqueda de artículos publicados en las bases de datos PubMed, Scopus y Embase utilizando los términos asociados a COVID-19 y embarazo, hasta el 4 de abril de 2020. En la revisión de 43 artículos se tuvieron en cuenta 25, que corresponden a reportes y series de caso, revisiones y guías de manejo. No se encontró evidencia concluyente respecto a transmisión vertical o a mal resultado perinatal en enfermedad leve o moderada. Los síntomas clínicos de COVID-19 en el embarazo, no varían de los de la población general. Existe controversia en cuanto a lactancia materna. En conclusión, existe escasa evidencia de calidad sobre el efecto de COVID-19 en el embarazo. Dada la ausencia de evidencia concluyente se plantea la realización de un registro nacional de COVID-19 y embarazo para Colombia y la región.

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)0.001
metaresearch head score (Gemma)0.021
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.596
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.021
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.002

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 head0.114
GPT teacher head0.408
Teacher spread0.293 · 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 designNot applicable
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
Published2020
Admission routes1
Has abstractyes

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