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Terapias complementares no trabalho de parto: ensaio clínico randomizado

2019· article· pt· W2972121802 on OpenAlexaff
Ana Carolina Varandas Cavalcanti, Angelita José Henrique, Camila Moreira Brasil, Maria Cristina Gabrielloni, Márcia Barbieri

Bibliographic record

VenueRevista gaúcha de enfermagem · 2019
Typearticle
Languagept
FieldAgricultural and Biological Sciences
TopicPhytochemistry Medicinal Plant Applications
Canadian institutionsUniversity of British Columbia Hospital
Fundersnot available
KeywordsPain perceptionAnxietyMedicineRandomized controlled trialVisual analogue scaleGynecologyPsychologyAnesthesiaSurgery

Abstract

fetched live from OpenAlex

OBJECTIVE: To evaluate the effect of isolated and combined warm shower bath and perineal exercise with Swiss ball, on perception of pain, anxiety and labor progression. METHOD: Randomized, controlled clinical trial with 128 patients allocated into three groups of therapies: isolated and combined bath and ball. Pain and anxiety perception was evaluated before and thirty minutes after therapeutic intervention through visual analogic scales (VAS). RESULTS: Pain perception score increased, and anxiety decreased in all groups, mainly when using a shower bath. The cervical dilation increased in all groups (p<.001), as well as the number of uterine contractions increased, mainly in the group that used combined bath and ball and also showed shorter labor time. CONCLUSION: The studied therapies contribute to maternal adaptation and well-being and favor labor's evolution.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0060.002
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.031
GPT teacher head0.286
Teacher spread0.255 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
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

Citations35
Published2019
Admission routes1
Has abstractyes

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