Effects of <i>Helicobacter pylori</i> Eradication on the Platelet Count in Hepatitis C Virus-Infected Patients
Bibliographic record
Abstract
Background: Helicobacter pylori ( H. pylori ) infection is associated with a low platelet count in patients with immune thrombocytopenic purpura (ITP). While eradication of H. pylori is an established therapy for increasing the platelet count in ITP patients, it is unclear whether or not eradication will similarly affect the platelet counts in patients with chronic liver diseases (CLDs). We herein examined the effect of H. pylori eradication on the platelet counts in hepatitis C virus (HCV)-related CLD patients. Methods: A total of 65 patients were enrolled, and the H. pylori -positive patients were treated to eradicate H. pylori . The eradication of H. pylori was assessed using a 13 C-urea breath test 4 weeks after the completion of the therapy. In addition to the general laboratory variables of HCV-infected patients, including platelet counts, the prothrombin time (PT), and liver function markers (AST, ALT, total bilirubin, alkaline phosphatase, and albumin), we also investigated the presence of splenomegaly via ultrasonography. The platelet counts were measured at 1, 3, and 6 months after the final eradication therapy in order to assess the success of H. pylori eradication. Results: Of the 65 patients with HCV-related CLD, 30 were found to be H. pylori -positive. The oral treatment regimen succeeded in eliminating H. pylori in 19 patients. These H. pylori -eradicated patients included eight males and 11 females, and 15 (78.9%) had liver cirrhosis. Regarding the patients who failed to achieve H. pylori eradication, their platelet counts did not markedly differ between pre- and post-treatment. Regarding the patients with H. pylori eradication, the platelet counts tended to increase 6 months after the treatment (9.2 ± 2.9 × 10 3 / µ L vs. 10.1 ± 3.7 × 10 3 / µ L, P = 0.085). We also found that the platelet count was significantly increased after the eradication in patients without splenomegaly (9.8 ± 2.8 ×10 3 / µ L vs. 11.0 ± 3.7 ×10 3 / µ L, P = 0.040). Regarding the seven patients whose platelet count increased by more than 20 × 10 3 / µ L after anti- H. pylori treatment, most (6/7, 85.7%) did not have splenomegaly. Conclusion: H. pylori eradication may increase the platelet count in HCV-positive patients, particularly those without splenomegaly. J Clin Med Res. 2016;8(12):854-858 doi: http://dx.doi.org/10.14740/jocmr2725w
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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".