Building a tuberculosis-free world: The Lancet Commission on tuberculosis
Bibliographic record
Abstract
___Key messages___ The Commission recommends five priority investments to achieve a tuberculosis-free world within a generation. These investments are designed to fulfil the mandate of the UN High Level Meeting on tuberculosis. In addition, they answer the question of how countries with high-burden tuberculosis and their development partners should target their future investments to ensure that ending tuberculosis is achievable. __Invest first to ensure that high quality rapid diagnostics and treatment are provided to all individuals receiving care for tuberculosis, wherever they seek care__ This priority includes rapid drug susceptibility testing and second-line treatment for resistant forms of tuberculosis. Achieving universal, high-quality person-centred and family-centred care—including sustained improvement in the performance of private sector providers—usually should be the top policy and budget priority. __Reach people and populations at high risk for tuberculosis (such as household and other close contacts of people with tuberculosis, and people with HIV) and bring them into care__ Active case-finding and treatment in high-risk populations demands adequate resources to reach and care for these populations. At the same time, reaching certain high-risk populations, such as people co-infected with tuberculosis and HIV, for tuberculosis preventive therapy is essential to achieve epidemiologic control. Once high-risk populations have access to affordable, high-quality diagnostic, treatment and preventive services, invest in identifying tuberculosis cases in the general population, primarily by strengthening the capacity to deliver health services and move toward universal health coverage. __Increase investment to accelerate tuberculosis research and development and bring new diagnostics, therapeutic strategies, and vaccines to clinical practice to quickly end the pandemic__ Strong advocacy with science ministries and research-oriented pharmaceutical companies is crucial, including ministries and companies in middle-income countries, to highlight the importance of investing in new tools. Financing the early uptake of new products will provide important confidence signals to product developers. __Make investment in tuberculosis programmes a shared responsibility, increasing development assistance for tuberculosis according to the financial needs of individual low-income and middle-income countries__ As countries successfully mobilise more domestic resources towards tuberculosis programmes, external assistance to middle-income countries should address the following priorities: reduce the spread of drug-resistant tuberculosis in all affected low-income and middle-income countries; facilitate market-shaping activities to enable access to high quality drugs and diagnostics for high-burden countries; and finance tuberculosis research and development, including product development as well as population, policy, and implementation research that will provide lessons and international sharing of best practices. __Hold countries and key stakeholders accountable for progress made towards ending tuberculosis__ Accountability entails establishing independent, multisectoral processes, such as national tuberculosis report cards, to ensure that all stakeholders carry out their responsibilities to contribute to ending the pandemic. Accountability mechanisms should not only assess progress, but also guarantee that Heads of Governments, national tuberculosis programmes, and even regional and site-level clinics, as well as key non-governmental organisations, take the necessary corrective actions to remove obstacles to ending tuberculosis.
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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 | 0.005 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.005 | 0.008 |
| Insufficient payload (model declined to judge) | 0.019 | 0.006 |
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".