Effectiveness of the Eucalyptus Inhalation on the Upper Respiratory Tract Infections of 5-15 Years Old Children
Bibliographic record
Abstract
Aims: Humans have long used plant extracts to relieve the symptoms of various diseases. This study aimed to investigate the efficacy of Eucalyptus in treating upper respiratory infections in children aged 5 to 15 years. Methods & Materials: A case-control study was conducted on the children aged 5-15 years who were referred to the clinics of Zahedan Medical University, Zahedan City, Iran, in 2018-19. A total of 208 children were examined in two groups: case patients diagnosed with an acute upper respiratory infection and control patients matched to the case group. To prepare Eucalyptus incense, 2 drops of Eucalyptus oil were mixed in 750 mL of hot water. In the case group, Eucalyptus incense was prescribed every 3 hours for 15 minutes for 3 days. Also, in the control group, just water vapor was prescribed. Finally, the patients of both groups were evaluated by the researcher on the third day, and the information was entered into the Canadian Acute Respiratory Illness Flu Scale (CARIFS) questionnaire. Then the data were analyzed in SPSS v. 22. Findings: The current study showed that Eucalyptus fumigation significantly improved patients’ symptoms in all upper respiratory tract infections such as cold (P=0.016), rhinitis (P=0.032), sinusitis (P=0.028), pharyngitis (P=0.043), otitis (P=0.046) and laryngotracheitis (P=0.014). Conclusion: Eucalyptus incense generally causes clinical improvement in children with upper respiratory tract infections. As a result, it is possible to use this substance with other treatments according to the patients’ clinical conditions.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.001 | 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".