Preliminary study on chronic granulomatous disease in Sri Lanka
Bibliographic record
Abstract
Chronic granulomatous disease (CGD) is a rare primary immunodeficiency of the phagocytic cells, which results in absent or diminished levels of microbicidal reactive oxygen species. The disease occurs due to germline mutations in the genes encoding the five subunits of NADPH oxidase complex. The present study is a pilot study to understand the clinical and genetic aspects of CGD in Sri Lanka. Clinical records of thirteen CGD patients were analysed and compared with similar studies performed in different countries and regions to identify patterns in demographics, clinical manifestations and infectious agents. Genomic DNA and cDNA were analysed in eight patients to identify mutations in CYBB and NCF1 genes, thereby to ascertain the potential X-linked and autosomal recessive (AR) CGD patients. The onset of symptoms in the patient cohort was very early (mean 4.6 months) compared to 20 months in India and 23.9 months in Latin America. Similarly, the age at diagnosis was lower (mean 1.6 years after birth) compared to other studies; 4.5 years in India and 6.1 years in Europe. Pulmonary manifestations were the most common (85%), followed by skin/subcutaneous infections (77%) and lymphadenopathy (62%). The death rate of local patients (38%) was higher than other countries (India 35%, Europe 20%). Majority (77%) were treated for tuberculosis at some point in life. Genetic analysis confirmed six out of eight patients as X-linked CGD cases with mutations in CYBB gene. A novel splice site mutation was identified in P-07 at position c.141+6 which resulted in the deletion of entire exon 2. Two siblings (P-05 and P-06) from consanguineous parents, were identified with AR-CGD based on the homozygous GT deletion mutation in NCF1 gene. The clinical presentation, manifestations and genetic subtypes in the local cohort, appear to be comparable with global trends. Mycobacterial infections should be investigated and treated with more prominence. Effective treatment options are required to control the high mortality rate.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".