Prevalence of thrombocytopenia and risk factors in adults: A rural community study in China
Bibliographic record
Abstract
Objective: To examine the prevalence of thrombocytopenia and its related factors in adults in rural community of Deqing,China.Methods: A cross-sectional study was carried out in four rural communities in Deqing County,Zhejiang Province,China.A total of 4479 subjects aged 18 to 64 years participated in this study.Thrombocytopenia was defined as blood platelet count 100×109/L.EpiData 3.1(Chinese version) was used to manage the data and SPSS 11.0 was used for statistical analysis.Results: The crude prevalence of thrombocytopenia was 21.2% and the age-gender-standardized prevalence was 18.6% based on 2000 national population.The prevalence of thrombocytopenia tended to increase with age(χ2Trend=14.43,P0.001).In non-conditional multiple-variables logistic model,age,gender,smoking,annual family average incomes and body mass index were significantly associated with thrombocytopenia.Conclusion: Thrombocytopenia was common in adults aged 18 to 64 years old living in rural area.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".