Preventing Nosocomial MDR TB Transmission in sub Saharan Africa: Where Are We at?
Bibliographic record
Abstract
BACKGROUND: In sub Saharan Africa, the cocktail of many advanced HIV-infected susceptible hosts, poor TB treatment success rates, a lack of airborne infection control, limited drug-resistance testing (DST) have resulted in HIV-infected individuals being disproportionately represented in Multi drug resistant Tuberculosis (MDR-TB) cases. The prevailing application of the WHO re-treatment protocol indiscriminately to all re-treatment cases sets the stage for an increase in mortality and MDR-TB nosocomial transmission. METHOD: A comprehensive search was performed of the Cochrane Infectious Diseases Group Specialized Register and Medline database including the bibliographies of the retrieved reference. FINDINGS: The TB diagnosis paradigm which for decades relied on smear sputum and culture is likely to change with the advent of the point-of-care diagnostic, Xpert MTB/RIF assay. Until the new DST infrastructure is available, along with clinical trials for both, current and new approaches to retreatment TB in areas heavily affected by HIV and TB, there are cost effective administrative, environmental, and protective measures that may be immediately instituted. CONCLUSION: The severe lack of infection control practices in sub Saharan Africa may jeopardise the recent strides in MDR-TB management. Cost effective infection control measures must be immediately implemented, otherwise the development of further drug resistance may offset recent strides in MDR-TB management. Indiscriminate use of the WHO standardized retreatment protocol can lead to nosocomial transmission of MDR-TB by: -Precluding early diagnosis and prompt separation of patients who experienced treatment failure category and thereby more likely to have MDR-TB. -Leaving patients from the treatment failure category in health establishments on ineffective standard retreatment regimen until the DST results are known. -targeting only patients who have had prior TB therapy, new severely debilitated TB patients having primary unrecognized MDR-TB may continue spreading resistant organisms.
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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 | 0.008 | 0.031 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.005 | 0.009 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.009 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".