Assessment of geneXpert test for diagnosis of pediatric pulmonary tuberculosis
Bibliographic record
Abstract
Introduction: Pediatric tuberculosis is an infectious disease and is a leading cause of death in Nepal. The incidence of pediatric TB is a key tool of ongoing transmission of tuberculosis within the community and vital indicator of disease control. Its diagnosis is very much challenging and delay in diagnosis leads to mortality. Objectives: This study was conducted to assess the utility of the gene Xpert test for diagnosis of pediatric pulmonary tuberculosis. Methodology: A hospital based prospective study done at Pediatric department of a teaching hospital, Nepalgunj, Banke conducted over a period of 1 year from 1 January 2021 to 31 December 2021 with presumptive diagnosis of pediatric pulmonary tuberculosis. Chi-square test was used to determine the association between categorical variables and a receiver operating curve (ROC) analysis was performed to compare the performance of gene Xpert test with other lab parameters like sputum/gastric lavage sample microscopy for acid fast bacilli, erythrocytic sedimentation rate, Tuberculin test (TT) and chest X-ray. Results: We enrolled a total of 294 patients in our study. Out of 294 samples 5.1% samples came out to be positive for gene Xpert for MTB. The sputum/gastric lavage samples for AFB showed both sensitivity and specificity of 100%. The tuberculin test showed a sensitivity of 80% and specificity of 37.3%. Chest X-ray showed a sensitivity of 66.7% and specificity of 43.7%. The area under the curve for acid fast bacilli in microscopy, tuberculin test and ESR was found to be 100% (95% CI: 100%-100%), 58.6% (95% CI: 44.9%-72.4%), and 52.6% (95% CI: 37%-68.3%) respectively. Conclusion: This study highlights the utility of gene Xpert as a good diagnostic tool for rapid diagnosis of pulmonary tuberculosis in pediatric population.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".