ArticlePloS one2013
Population-level impact of active tuberculosis case finding in an Asian megacity.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 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
23 citing papers in PubMed, 1 synthesis or guideline pooled it.
- From habits of attrition to modes of inclusion: enhancing the role of private practitioners in routine disease surveillance.BMC health services research · 2017Pooled it
- Increased Case Notification through Active Case Finding of Tuberculosis among Household and Neighbourhood Contacts in Cambodia.PloS one · 2016Trial
- Cost-effectiveness of TB diagnostic technologies in Ethiopia: a modelling study.Cost effectiveness and resource allocation : C/E · 2024Article
- Article
- Article
- Gaps and Interventions across the Diagnostic Care Cascade of TB Patients at the Level of Patient, Community and Health System: A Qualitative Review of the Literature.Tropical medicine and infectious disease · 2022Review
- Quantifying geographic heterogeneity in TB incidence and the potential impact of geographically targeted interventions in South and North City Corporations of Dhaka, Bangladesh: a model-based study.Epidemiology and infection · 2021Article
- Incorporating patient reporting patterns to evaluate spatially targeted TB interventions.Annals of epidemiology · 2021Article
- Trade-offs between cost and accuracy in active case finding for tuberculosis: A dynamic modelling analysis.PLoS medicine · 2020Article
- Article
- Spatial distribution of people diagnosed with tuberculosis through routine and active case finding: a community-based study in Kampala, Uganda.Infectious diseases of poverty · 2020Article
- The impact of structured counselling on patient knowledge at a private TB program in Karachi.Pakistan journal of medical sciences · 2020Article
- Spatial and temporal projections of the prevalence of active tuberculosis in Cambodia.BMJ global health · 2019Article
- Tuberculosis case finding using population-based disease surveillance platforms in urban and rural Kenya.BMC infectious diseases · 2018Article
- Development, roll-out and impact of Xpert MTB/RIF for tuberculosis: what lessons have we learnt and how can we do better?The European respiratory journal · 2016Review
- Bridging the gap between evidence and policy for infectious diseases: How models can aid public health decision-making.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2016Review
- Turning off the tap: stopping tuberculosis transmission through active case-finding and prompt effective treatment.Lancet (London, England) · 2015Review
- Tuberculosis control and economic recession: longitudinal study of data from 21 European countries, 1991-2012.Bulletin of the World Health Organization · 2015Article
- Tuberculosis control strategies to reach the 2035 global targets in China: the role of changing demographics and reactivation disease.BMC medicine · 2015Article
- Defining the needs for next generation assays for tuberculosis.The Journal of infectious diseases · 2015Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe potential population-level impact of private-sector initiatives for tuberculosis (TB) case finding in Southeast Asia remains uncertain. In 2011, the Indus Hospital TB Control Program in Karachi, Pakistan, undertook an aggressive case-finding campaign that doubled notification rates, providing an opportunity to investigate potential population-level effects.
methodsWe constructed an age-structured compartmental model of TB in the intervention area. We fit the model using field and literature data, assuming that TB incidence equaled the estimated nationwide incidence in Pakistan (primary analysis), or 1.5 times greater (high-incidence scenario). We modeled the intervention as an increase in the rate of formal-sector TB diagnosis and evaluated the potential impact of sustaining this rate for five years.
resultsIn the primary analysis, the five-year intervention averted 24% (95% uncertainty range, UR: 18-30%) of five-year cumulative TB cases and 52% (95% UR: 45-57%) of cumulative TB deaths. Corresponding reductions in the high-incidence scenario were 12% (95% UR: 8-17%) and 27% (95% UR: 21-34%), although the absolute number of lives saved was higher. At the end of five years, TB notification rates in the primary analysis were below their 2010 baseline, incidence had dropped by 45%, and annual mortality had fallen by 72%. About half of the cumulative impact on incidence and mortality could be achieved with a one-year intervention.
conclusionsSustained, multifaceted, and innovative approaches to TB case-finding in Asian megacities can have substantial community-wide epidemiological impact.
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.