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Record W3132394633 · doi:10.25248/reas.e5428.2021

A influência do pré-natal, parto e intercorrências mamárias no tempo amamentação

2021· article· pt· W3132394633 on OpenAlexaff
Alice Gontijo Cançado, Ana Carolina Pereira Maciel, Fabiana Francia Abreu, F Latorre, Laura de Almeida Rosa, Carolina Andrade Vitoi, Patrícia de Oliveira Lima, Sirleide Corrêa Rangel, Juliana Barroso Zimmermmann

Bibliographic record

VenueRevista Eletrônica Acervo Saúde · 2021
Typearticle
Languagept
FieldMedicine
TopicBreastfeeding Practices and Influences
Canadian institutionsIntertek (Canada)
Fundersnot available
KeywordsHumanitiesGynecologyMedicinePhilosophy

Abstract

fetched live from OpenAlex

Objetivo: Avaliar a frequência de amamentação de puérperas associando ao tipo de parto e verificar quais fatores são limitadores do período de lactação. Métodos: Foram entrevistadas puérperas atendidas pelo Serviço de Obstetrícia da Faculdade de Medicina de Barbacena e da Universidade Federal de Juiz de Fora, sendo essas submetidas à anamnese e questionadas sobre antecedentes, tipo de pré-natal, via de parto, intercorrências mamárias, regime de aleitamento e fatores interferentes. Resultados: Não houve associação estatística entre amamentação inicial e tipo de pré-natal, idade, número de gestações, partos e tipo de parto. Foi identificado hipogalactia como principal fator de interferência aos 15 dias de pós-parto, aos 21 foi agalactia, e aos 75 e 180 dias predominou a indicação do pediatra. Conclusão: A grande maioria das pacientes saem da maternidade amentando de forma exclusiva. Entretanto, com o passar dos dias há queda importante da lactação exclusiva, seja por hipogalactia ou agalactia. O curioso, nesse estudo, foi a orientação do pediatra que apareceu como causa de suspensão da lactação. A cesariana foi fator de risco para a lactação não exclusiva.

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)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, 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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.393
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0140.009

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 head0.032
GPT teacher head0.320
Teacher spread0.288 · 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

Citations1
Published2021
Admission routes1
Has abstractyes

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