Analysis of helicobacter pylori eradication on platelet counts of adult patients with idiopathic thrombocytopenic purpura
Bibliographic record
Abstract
Introduction: Helicobacter pylori(H. pylori) is a gram-negative microaerophilic bacterium that colonizes the stomachs of over half the human population.Objectives of the study: The main objective of the study was to analyse the helicobacter pylori eradication on platelet counts of adult patients with idiopathic thrombocytopenic purpura.Material and methods: This descriptive study was conducted in University College of Medicine & Dentistry, University of Lahore during March 2019 to November 2019. The study included all adult patients of both sexes, who were diagnosed with ITP. If platelet count and patient status allowed, we diagnosed H.pylori infection was by histological examination of different biopsies obtained from different areas of stomach and duodenum (including the gastric antrum) via esophagogastroduodenoscopy (EGD). IF EGD is not applicable, we diagnosedH. pyloriinfection by the positivity of serum antibodies or urease breath test. We first did serological testing.Results: The median age was 55 years (range: 35-76 years), 18 were men (7 women), and the median platelet count was 78×103/μL (range: 6-96×103/μL). The median follow-up durationof this study was 57.57 months. Twenty-three patients had histologically confirmedH. pyloriinfection from UBT or CLO test. All patients experienced complete bacterial eradication. Of these patients, 2 had received immunosuppressive and anti-RhD immunoglobulin treatment beforeH. pylorieradication therapy.Conclusion: It is concluded that H. pylorieradication in ITP patients Leads to significant Improvement of peripheral blood platelet count in most patients.
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 | 0.000 | 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".