Symptomatic infantile helicobacter pylori gastritis infection in indigenous african infants: a case series
Bibliographic record
Abstract
Helicobacter pylori gastritis infection rate increases with age. Higher rates have however been reported among young people in the developing countries of the world. The infection however has rarely been reported in infants, especially in Africa. This case series describes three cases of Helicobacter pylori gastritis infection as diagnosed in three infants. The goal is to raise the suspicion index of medical practitioners about the possibility of this this infection among infants who present with suggestive symptoms. On three separate occasions in 2012 and 2013, three ill, indigenous, black African female infants aged 4, 6 and 7 months, were brought to hospital with symptoms ranging from fever, refusal to feed, diarrhoea, restlessness, vomiting and irritability. In each case, systemic examination findings were unremarkable. After several laboratory investigations, each infant was found to have Helicobacter pylori infection following positive blood antibody (using Tell Me Fast H. Pylori antibody serum and Plasma test manufactured by Biocan Diagnostics Canada) and fecal HpSA ImmunoCardSTAT antigen tests. Repeat stool antigen test was negative in each case after completion of the recommended triple therapy. Helicobacter pylori infection has been rarely reported among infants. This case series highlights the need for health care providers to have a high index of suspicion so that infants with suggestive symptoms, especially in settings with high Helicobacter pylori colonization prevalence can be evaluated for Helicobacter pylori gastritis infection.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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".