Quantitative Platelet Abnormalities in Patients With Hepatitis B Virus-Related Liver Disease
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Platelets play a central role in primary hemostasis. Quantitative abnormalities of platelets are known to occur in chronic liver disease. The study was carried out to determine the abnormalities of platelet count in various forms of Hepatitis B virus-related liver disease. METHODS: Platelet count was carried out on consecutive chronic liver disease patients seen at the gastroenterology unit of the University of Nigeria Teaching Hospital Ituku/Ozalla who tested positive for Hepatitis B surface antigen (HBsAg) from January 2007 to June 2009. Dyspeptic patients undergoing upper gastrointestinal endoscopy who were HBsAg negative were used as controls. RESULTS: There were 142 patients with various forms of HBV-related liver disease (asymptomatic infection 29.6%, chronic hepatitis 8.4%, cirrhosis 27.5%, and hepatocellular carcinoma 34.5%). There was no statistically significant difference between the mean platelet count in the patients with Hepatitis B virus (HBV) related liver disease as a whole and control subjects (p = 0.4655). However patients with cirrhosis had a statistically significant lower platelet count than control subjects (p < 0.0001). Conversely, patients with hepatocellular carcinoma (HCC) had a higher platelet count than control subjects (p < 0.0001), and cirrhotic patients (p < 0.0001). CONCLUSIONS: Abnormalities of platelet count occur in HBV-related liver disease. Patients with liver cirrhosis tend to have lower platelet count while patients with HCC tend to have higher counts. Thrombocytosis may be a paraneoplastic manifestation of HCC.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it