Hubungan Stres dengan Kejadian Pre-Eklampsia pada Ibu Hamil: Meta-Analisis
Bibliographic record
Abstract
kejadian pre-eklampsia pada ibu hamil. Sebanyak 9 artikel dipilih untuk dilakukan meta-analisis. Penelitian ini menggunakan akronim PICO. Population: ibu hamil; Intervention: stres ibu hamil; Comparison: ibu hamil tidak stres; Outcome: pre-eklampsia. Data diperoleh dari database diantaranya yaitu PubMed, Springer Link, Science direct, dan Google Scholar. Data dianalisis menggunakan RevMan 5.3. Terdapat 9 artikel dari tahun 2017 hingga 2020, menggunakan desain penelitian case-control dengan total sampel 4,648 cases dan 7,054 controls dari Canada, Sudan, California, Colombia, Ethiopia, dan London yang telah dilakukan tinjauan sistematis dan meta-analisis. Hasil penelitian menunjukkan bahwa ibu hamil yang memiliki tingkat stress tinggi berisiko untuk mengalami pre-eklampsia sebesar 4.29 kali dibandingkan dengan ibu hamil yang tidak mengalami stres, dan secara statistik signifikan (aOR= 4.29; 95% CI= 2.29 hingga 8.05; p< 0.001).
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 | 0.019 | 0.040 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.019 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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; 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".