Evidence map›Paper›PMID 35902192›Full record

ArticleBMJ open2022

Estimation of tuberculosis incidence at subnational level using three methods to monitor progress towards ending TB in India, 2015-2020.

Kathiresan Jeyashree, Jeromie Thangaraj, Kiran Rade, Bhavesh Modi, Sriram Selvaraju, Saravanakumar Velusamy, Sasidharan Akhil, Mathavaswami Vijayageetha, Dhanapal Sudha Rani, Ramasamy Sabarinathan and 41 more

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Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.1field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

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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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
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  7. Article
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  11. Article
  12. Estimating the Burden of Tuberculosis in India: A Modelling Study.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
    Article
  13. Verification of Sub-national Claim for 'TB-free' Status of Rajsamand District, Rajasthan, India-2020.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
    Article
  14. Predictors for Concurrent Diabetes in Tuberculosis Patients. Perspectives from Two Mining Districts of Eastern Tribal State Jharkhand, in India.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
    Article
4 · The record

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5 · Who and what money

Authors and funding

51 authors at 13 institutions in 3 countries.

Kathiresan Jeyashree *ICMR- National Institute of Epidemiology, Chennai, Tamil Nadu, India.ORCID 0000-0001-6459-3659
Jeromie Thangaraj *ICMR- National Institute of Epidemiology, Chennai, Tamil Nadu, India.
Kiran RadeWorld Health Organization, Country Office for India, New Delhi, India.
Bhavesh ModiGMERS Medical College & Civil Hospital, Gandhinagar, Gujarat, India.
Sriram SelvarajuICMR - National Institute for Research in Tuberculosis, Chennai, Tamil Nadu, India.
Saravanakumar VelusamyICMR- National Institute of Epidemiology, Chennai, Tamil Nadu, India.
Sasidharan AkhilICMR- National Institute of Epidemiology, Chennai, Tamil Nadu, India.
Mathavaswami VijayageethaICMR- National Institute of Epidemiology, Chennai, Tamil Nadu, India.
Dhanapal Sudha RaniICMR- National Institute of Epidemiology, Chennai, Tamil Nadu, India.
Ramasamy SabarinathanICMR- National Institute of Epidemiology, Chennai, Tamil Nadu, India.
Sakthivel ManikandanesanICMR- National Institute of Epidemiology, Chennai, Tamil Nadu, India.
Rajalakshmi ElumalaiICMR- National Institute of Epidemiology, Chennai, Tamil Nadu, India.
Meenakumari NatarajanICMR- National Institute of Epidemiology, Chennai, Tamil Nadu, India.ORCID 0000-0002-8623-6510
Bency JosephICMR- National Institute of Epidemiology, Chennai, Tamil Nadu, India.
Amarendra MahapatraICMR-Regional Medical Research Centre, Bhubaneswar, Orissa, India.
Almas ShamimWHO-NTEP Technical Assistance Project, New Delhi, India.
Amar ShahUSAID India Mission, New Delhi, Delhi, India.
Ashok BhardwajMM Medical College & Hospital, Kumarhatti, Solan, Himachal Pradesh, India.
Anil PurtyPondicherry Institute of Medical Sciences, Puducherry, India.
Bhavin VaderaWadhwani Institute of Artificial Intelligence, Mumbai, India.
Anand SridharWHO-NTEP Technical Assistance Project, New Delhi, India.
Aniket ChowdhuryWHO-NTEP Technical Assistance Project, New Delhi, India.
Asif ShafieCentral TB Division, Ministry of Health & Family Welfare, New Delhi, Delhi, India.
Avijit ChoudhuryWorld Health Organization, Country Office for India, New Delhi, India.
Deka DhrubjyotiWHO-NTEP Technical Assistance Project, New Delhi, India.
Hardik SolankiWHO-NTEP Technical Assistance Project, New Delhi, India.
Krushna SirmanwarPATH India, New Delhi, India.
Kshitij KhapardeWHO-NTEP Technical Assistance Project, New Delhi, India.
Malik ParmarWorld Health Organization, Country Office for India, New Delhi, India.
Nisha DahiyaCentral TB Division, Ministry of Health & Family Welfare, New Delhi, Delhi, India.
Parija DebduttaWHO-NTEP Technical Assistance Project, New Delhi, India.
Quazi AhmedCDC, New Delhi, Delhi, India.
Ranjani RamachandranWorld Health Organization, Country Office for India, New Delhi, India.
Ranjeet PrasadCentral TB Division, Ministry of Health & Family Welfare, New Delhi, Delhi, India.
Rohini ShindeCentral TB Division, Ministry of Health & Family Welfare, New Delhi, Delhi, India.
Rupali BaruahGauhati Medical College, Guwahati, Assam, India.
Sandeep ChauhanWHO-NTEP Technical Assistance Project, New Delhi, India.
Sandip BharaswadkarWHO-NTEP Technical Assistance Project, New Delhi, India.
Shanta AchantaWHO-NTEP Technical Assistance Project, New Delhi, India.
Burugina Nagaraja SharathESIC Medical College and PGIMSR, Bengaluru-560010, Karnataka, India.
Shibu BalakrishnanWHO-NTEP Technical Assistance Project, New Delhi, India.ORCID 0000-0002-8694-3573
Shivani ChandraWHO-NTEP Technical Assistance Project, New Delhi, India.
Sophia KhumukchamWHO-NTEP Technical Assistance Project, New Delhi, India.
Sudarsan MandalCentral TB Division, Ministry of Health & Family Welfare, New Delhi, Delhi, India.
Sumitha ChalilWHO-NTEP Technical Assistance Project, New Delhi, India.
Vaibhav ShahWHO-NTEP Technical Assistance Project, New Delhi, India.
Venkatesh RoddawarPATH India, New Delhi, India.
Raghuram RaoCentral TB Division, Ministry of Health & Family Welfare, New Delhi, Delhi, India.
Kuldeep SachdevaCentral TB Division, Ministry of Health & Family Welfare, New Delhi, Delhi, India.
Manoj MurhekarICMR- National Institute of Epidemiology, Chennai, Tamil Nadu, India mmurhekar@gmail.com.ORCID 0000-0002-1720-7628
Subnational TB claims verification group
National Institute of Epidemiology · INMinistry of Health and Family Welfare · INWorld Health Organization - India · INProgram for Appropriate Technology in Health · INGandhi Medical College & Hospital · INGauhati Medical College and Hospital · INHyattsville Community Development Corporation · USInstitute of Art · PLNational Institute of Research in Tuberculosis · INPandit Bhagwat Dayal Sharma Post Graduate Institute of Medical Sciences · INPondicherry Institute of Medical Sciences · INRamakrishna Mission Vidyamandira · INRegional Medical Research Centre · IN

Funding

World Health Organization 001
6 · The paper itself

Abstract

objectivesWe verified subnational (state/union territory (UT)/district) claims of achievements in reducing tuberculosis (TB) incidence in 2020 compared with 2015, in India.

designA community-based survey, analysis of programme data and anti-TB drug sales and utilisation data.

settingNational TB Elimination Program and private TB treatment settings in 73 districts that had filed a claim to the Central TB Division of India for progress towards TB-free status.

participantsEach district was divided into survey units (SU) and one village/ward was randomly selected from each SU. All household members in the selected village were interviewed. Sputum from participants with a history of anti-TB therapy (ATT), those currently experiencing chest symptoms or on ATT were tested using Xpert/Rif/TrueNat. The survey continued until 30 OUTCOME MEASURES: We calculated a direct estimate of TB incidence based on incident cases identified in the survey. We calculated an under-reporting factor by matching these cases within the TB notification system. The TB notification adjusted for this factor was the estimate by the indirect method. We also calculated TB incidence from drug sale data in the private sector and drug utilisation data in the public sector. We compared the three estimates of TB incidence in 2020 with TB incidence in 2015.

resultsThe estimated direct incidence ranged from 19 (Purba Medinipur, West Bengal) to 1457 (Jaintia Hills, Meghalaya) per 100 000 population. Indirect estimates of incidence ranged between 19 (Diu, Dadra and Nagar Haveli) and 788 (Dumka, Jharkhand) per 100 000 population. The incidence using drug sale data ranged from 19 per 100 000 population in Diu, Dadra and Nagar Haveli to 651 per 100 000 population in Centenary, Maharashtra.

conclusionTB incidence in 1 state, 2 UTs and 35 districts had declined by at least 20% since 2015. Two districts in India were declared TB free in 2020.

Indexed as

Epidemiological MonitoringTuberculosisDisease EradicationHumansIncidenceIndiaMycobacterium tuberculosisEpidemiologyPublic healthTuberculosis

Identifiers

PMID35902192
PMCPMC9340578
OpenAlexW4288458721

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