Bibliographic record
Abstract
BACKGROUND: Congenital tuberculosis (TB) is rare in the United States. Recent immigration patterns to the United States have made the diagnosis of congenital TB an important public health issue. PURPOSE: To explore the epidemiology, pathophysiology, diagnostic evaluation, treatment, and prognosis for congenital TB. The implications for exposed healthcare professionals in the neonatal intensive care unit (NICU) setting are also explored. METHODS/SEARCH STRATEGY: Relevant articles were accessed via PubMed, CINAHL, and Google Scholar. FINDINGS/RESULTS: Until 1994, fewer than 400 cases of confirmed congenital TB had been reported in the literature worldwide. An additional 18 cases were reported from 2001 to 2005. Neonatal providers need to be aware of the potential for congenital TB infection as the immigrant population in the United States continues to increase, many of whom originate from TB endemic countries. IMPLICATIONS FOR PRACTICE: The interpretation of TB-specific tests is problematic in newborns due to decreased sensitivity and specificity. Congenital TB should be ruled out in infants with signs and symptoms of sepsis or pneumonia and in whom broad-spectrum antibiotic therapy does not improve their clinical status. IMPLICATIONS FOR RESEARCH: The interpretation of TB-specific tests is problematic in newborns due to decreased sensitivity and specificity; more research is needed regarding best practice in diagnosis. Established protocols are needed to address the healthcare of TB-exposed providers in the NICU.
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 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".