Evaluation Effect of Shiatsu Technique on Labor Induction in Post-Term Pregnancy
Bibliographic record
Abstract
OBJECTIVES: Labor induction in post-term pregnancy is considered as a conventional process of mothers' care. Shiatsu technique is one of the complementary methods which use for post-term pregnancy induction. Therefore, the researchers decided to examine the effect of Shiatsu technique on the induction of post-term pregnancy. MATERIALS & METHODS: This is a randomized control trials which conducted on 288 women with post-term pregnancy who referred to consulting clinic at Ali- Ibn- Abi -Talib Hospital, in Zahedan-Iran in 2010-2011. Participants were selected based on random table. The participants divided into two groups: the first was shiatsu technique and the second group was control group (routine procedure). Shiatsu technique was conducted on the participants of intervention group for 30s on three points by an experienced midwife. The gathered data analyzed by SPSS version 15.00 and comparing tests were t-students tests, chi-square. RESULTS: Mothers ages range were between 16 to 42 years (mean 26.5-5.7) in shiatsu and 17 to 43 years (mean 24.5-5.1) in control group. Regarding spontaneous initiation of labor, 82 women (56.9%) in Shiatsu group had spontaneous initiation of labor, whereas the number of women was only 12 (8.3%) in control group. Women who have used Shiatsu technique were significantly more likely to have spontaneous labour than those women who did not. CONCLUSIONS: Results of the study showed that shiatsu technique can be used as one of safe complementary methods for post-term pregnancy induction.
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 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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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) | 0.003 | 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".