ReviewFrontiers in tuberculosis2024
Ending tuberculosis: challenges and opportunities.
Review in Frontiers in tuberculosis, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The Role of Toll-like Receptor 2 Polymorphisms in Susceptibility to and Severity of Tuberculosis: A Systematic Review.Pathogens (Basel, Switzerland) · 2026Pooled it
- The epidemiology of tuberculosis infection and the Human Development Index (HDI) in Iran between 1990-2021: secondary analysis of the global burden of disease.BMC infectious diseases · 2026Article
- Predictors of Treatment Outcomes Among HIV-Positive Patients with Drug-Resistant Tuberculosis in Rural Eastern Cape, South Africa: A Retrospective Cohort Study.International journal of environmental research and public health · 2026Article
- Machine learning prediction of tuberculosis mortality: a comparative analysis of random survival forest and cox regression models.BMC infectious diseases · 2026Article
- Spectrochemical, medicinal, and toxicological studies of moxifloxacin and its novel analogs: a quantum chemistry and drug discovery approach.RSC advances · 2026Article
- Strengthening comprehensive tuberculosis care in Angola: a scoping review of strategies, challenges, and potentialities in a high-burden setting.Public health reviews · 2026Review
- Drug-resistant tuberculosis and pulmonary co-infections in immunocompromised patients: from multi-omics to precision therapy.Frontiers in microbiology · 2026Review
- Evaluation of the Novel RITA MTBC Assay for Tuberculosis Detection: A Pilot Comparison with GeneXpert and BD MAX™.Pathogens (Basel, Switzerland) · 2025Article
- Advanced Nanosystems and Emerging Therapies: Innovations in Tuberculosis Treatment and Drug Resistance.Pharmaceutics · 2025Review
- Utilizing artificial intelligence to predict and analyze socioeconomic, environmental, and healthcare factors driving tuberculosis globally.Scientific reports · 2025Article
- Community-engaged clinical governance and machine learning for optimizing tuberculosis management in rural Eastern Cape.Frontiers in public health · 2025Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite impacting mankind since ancient times, tuberculosis (TB) persists as the leading cause of death from an infectious disease. TB can remain latent and further research is required to understand activation risk and the risks vs. the benefits of treating latent infection. Drug resistance poses an escalating threat to treating active disease and achieving cure. Recent advances in molecular and epidemiological techniques facilitate early diagnosis, drug susceptibility testing and an opportunity to better understand transmission dynamics. Research is ongoing to develop safe, efficacious tolerable drug regimens and the challenges of antibiotic resistance have led to a resurgent interest in therapeutic alternatives. Vaccine development is challenged by the pathogen's genetic diversity, the heterogeneity of host susceptibility and the extreme complexities that occur across the interactions between TB and its host. Across all stages of TB pathogenesis, developments in artificial intelligence, geographic information systems, digital health technologies, renewable energy solutions and nano medicine are providing opportunities to improve TB control. Resource constraints however often challenge the opportunity to access these new technologies by those most in need. The societal inequalities in accessing new technologies further compound socio-economic and health related TB determinants Addressing these complex determinants which include malnutrition, HIV infection, diabetes, substance abuse, poor environmental conditions and multi-factorial barriers to health care access, will require political will, sufficient funding, and a holistic multisectoral response.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.