Cystic Fibrosis in an Adolescent: A “Miranda Warning” Against Blaming TB—A Case-Based Scholarly Update
Bibliographic record
Abstract
Cystic fibrosis (CF) is a multisystem disorder that occurs as a result of autosomal recessive congenital transmission of CF transmembrane conductance regulator (CFTR) gene mutation on chromosome 7. Because it is considered a disease of the Caucasian pediatric population or due to lack of awareness, it is rarely considered in developing countries like ours. This case report presents the first case of cystic fibrosis ever reported in Ethiopia and possibly East Africa, that of a 17-year-old female diagnosed with the disease following a CT scan of her abdomen and chest. She was initially misdiagnosed and treated for tuberculosis (TB) as she was a chronic cougher. Perhaps due to epidemiological evidence, there is an obstinate tendency of blaming tuberculosis (TB) for almost every case of chronic cough with fibro-bronchiectatic lung parenchymal changes in Ethiopia. Once a diagnosis of TB is posted on such patients, their diagnosis remains in the circle of TB reinfection, relapse or resistance, followed by multiple phases of anti-mycobacterial drugs. This could lead to hazardous implications, including unnecessary prolonged anti-mycobacterial treatments, possibility of developing drug resistance, and mismanagement-related patient morbidity. This patient's chest and abdominal CT findings, including bronchiectasis, hepatic steatosis, pancreatic lipomatosis, micro-gallbladder and proximal colonic wall thickening, led to the diagnosis of CF. This article, presenting the first documented case of CF in the region, is meant to be a helpful reminder for clinicians and radiologists to also consider presumably "rare" illnesses like CF rather than blaming TB for every chronic cough and highlights the importance of abdominal CT features in the diagnosis of CF.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".