Kristeller maneuver: is there benefit in this technique? / Manobra de kristeller: há benefício nesta técnica?
Bibliographic record
Abstract
Objetivo: analisar os benefícios e os malefícios que Manobra de Kristeller apresenta na prática obstétrica para a mulher e o concepto. Método: trata-se de uma revisão integrativa realizada nas bases de dados LILACS, BDENF, IBECS e MEDLINE. Interpretou-se os resultados sintetizando-os de forma crítica e descritiva. Resultados: a amostra foi composta por 9 estudos publicados entre 2007 a 2017. Estas publicações evidenciaram que esta manobra não possui benefício, em contrapartida, pode trazer vários malefícios à mulher como disfunções no sistema urinário, dispaurenia, dor perineal, incontinência anal, além do aumento do número de episotomias. Em relação ao concepto, foram encontrados registros de cefalohematomas, aumento do ritmo cardíaco fetal, hemorragia epidural e Caput sucedaneum. Conclusão: as publicações referem que esta manobra trará uma história reprodutiva marcada por traumas, além de reforçar o não uso desta técnica.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.030 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".