Perbandingan Profil Penderita Tuberkulosis Paru antara Perokok dan Non Perokok di Poliklinik Paru RSUP. Dr. M. Djamil Padang
Bibliographic record
Abstract
Tuberkulosis (TB) merupakan masalah kesehatan masyarakat yang penting di dunia, terutama di negara berkembang seperti Indonesia. Salah satu faktor risiko yang dapat menurunkan daya tahan tubuh terhadap bakteri Mycobacterium tuberculosis adalah faktor merokok. Menurut Public Health Agency of Canada terdapat hubungan yang erat antara merokok dengan TB. Tujuan penelitian ini bertujuan adalah menentukan perbandingan profil penderita TB paru antara perokok dan non perokok di Poliklinik Paru RSUP Dr. M. Djamil Padang. Desain yang digunakan adalah cross sectional komparatif terhadap 44 penderita TB perokok dan 44 penderita TB non perokok. Data dikumpulkan melalui wawancara dan rekam medis. Hasil uji statistik menunjukkan terdapat perbedaan yang bermakna antara penderita TB paru perokok dan non perokok berdasarkan hasil pemeriksaan BTA awal (p=0,012) dan gejala hemoptisis (p=0,002). Uji statistik pada rata-rata usia (p=0,109), kejadian TB relaps (p=0,244) dan adanya komplikasi (p=0,395) menunjukkan tidak ada perbedaan yang bermakna antara penderita TB perokok dan non perokok.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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; both teacher heads agree on what is shown here.
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".