Safety and effectiveness of integrative Korean medicine for the management of patients sustaining injuries in traffic accidents during pregnancy: A retrospective chart review and questionnaire survey
Bibliographic record
Abstract
The number of traffic accidents (TAs) is rising each year, and the severity of injuries can vary. Many people experience limitations in activities of daily living following TAs, affecting their quality of life. In pregnant women, even simple injuries caused by a TA could lead to unfavorable obstetric outcomes. Thus, we conducted a retrospective chart review and follow-up questionnaire survey to assess the safety and effectiveness of integrative Korean medicine (KM) treatment for pregnant women injured in TAs. To assess integrative KM effectiveness, the numeric rating scale (NRS) for TA-related symptoms, neck disability index (NDI) score, Oswestry disability index (ODI) score, shoulder pain and disability index score, Western Ontario and McMaster Universities Arthritis Index score, EuroQol 5-dimension 5-level (EQ-5D-5L) score, and patient global impression of change score were investigated for pregnant women injured in TAs. Additionally, for safety evaluation, obstetric and neonatal outcomes, as well as symptoms related to pregnancy, were assessed. At the end of treatment and follow-up, there were significant reductions in NDI and ODI scores, as well as NRS for neck pain, lower back pain, and headache, compared to scores at baseline. EQ-5D-5L scores significantly increased. A follow-up of 50 patients showed no major differences in obstetric and neonatal outcomes compared to the typical outcomes that occur in pregnant women and neonates. Major improvements were observed in the symptoms of patients who underwent integrative KM treatment after being injured in TAs. The symptoms occurred at a rate similar to those in typical pregnant women, while causality with integrative KM treatment was assessed to be unlikely or unclear. Therefore, integrative KM treatment may be considered an alternative treatment option for pregnant women who currently have limited treatment options.
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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 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".