Tratamento com acupuntura: avaliação multidimensional da dor lombar em gestantes
Bibliographic record
Abstract
OBJECTIVE: To evaluate the effects of acupuncture in the treatment of low back pain in pregnant women in the second and third trimesters of pregnancy. METHOD: A quasi-experimental pre-post design was applied to pregnant women at a gestational age between 14 and 37 weeks, who had complaints of low back pain. Acupuncture sessions were performed, working systemic and auricular points. The McGill questionnaire was used to assess pain, as well as the instrument for identifying the sociodemographic, clinical and obstetric profile. RESULTS: The acupuncture technique performed in up to six sessions in 56 pregnant women with low back pain had positive effects on the participants' health. According to the pain assessment, there was a statistically significant reduction in the low back pain among the pregnant women as early as in the second session, with a gradual improvement with the advancement of the number of sessions. There were no serious adverse events related to acupuncture. CONCLUSION: Acupuncture offered significant effects for reducing or relieving pain in pregnant women. The participants expressed satisfaction and well-being as they left each session.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".