MétaCan
Menu
Back to cohort
Record W7028282962

EFICACIA DE LA ADMINISTRACIÓN DE SURFACTANTE PULMONAR EN RECIÉN NACIDOS PREMATUROS CON SÍNDROME DE DIFICULTAD RESPIRATORIA

2018· dissertation· es· W7028282962 on OpenAlexaboutno aff

Bibliographic record

Venuerenati · 2018
Typedissertation
Languagees
FieldEngineering
TopicAutomated Road and Building Extraction
Canadian institutionsnot available
Fundersnot available
KeywordsCongenital diseaseLung diseaseRespiratory diseasePremature newborn
DOInot available

Abstract

fetched live from OpenAlex

Objective: To establish the efficacy of pulmonary surfactant administration in preterm infants with respiratory distress syndrome.Materials and methods: Quantitative study type, study design systematic review, population 30 articles, sample was 10 articles on efficacy of pulmonary surfactant administration in preterm infants with difficulty syndrome These were found in databases such as Cochrane, PubMed, Lilacs, EBSCO, Elsevier and Scielo.We included 05 Meta-Analysis, 01 systematic review, 02 randomized clinical trials and 02 cohort studies; Of the evidence found 30% come from the United States, 20% from China and 10% from the United Kingdom, Canada, Australia, Colombia and Chile respectively, using the GRADE system to assign the recommendation force and the quality of evidence Results: the Most studies corroborate that in 80% of newborn infants with respiratory distress syndrome, the use of surfactant improves lung function more effectively and decreases the duration of mechanical ventilation and the use of oxygen.Conclusions: From the total critically evaluated articles, 08 of 10 demonstrate the efficacy of surfactant administration in preterm infants with respiratory distress syndrome, because studies showed an initial improvement in the state Respiratory (improved oxygenation and less need for ventilatory support) and a significant decrease in the risk of pulmonary bronco dysplasia (DBP) or death at 28 days of life and 02 of 10 does not evidence efficacy, because they do not deal with the efficacy of surfactant, But the method that was used for its administration..

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
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 score0.431
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0020.001
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 head0.006
GPT teacher head0.281
Teacher spread0.275 · 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.

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

Citations0
Published2018
Admission routes1
Has abstractyes

Explore more

Same venuerenatiSame topicAutomated Road and Building ExtractionFrench-language works237,207