Evidence map›Paper›PMID 36962621›Full record

ReviewPLOS global public health2022

Know your tuberculosis epidemic-Is it time to add Mycobacterium tuberculosis immunoreactivity back into global surveillance?

Hannah M Rickman, Wala Kamchedzera, Alvaro Schwalb, Mphatso D Phiri, Morten Ruhwald, Kwame Shanaube, Peter J Dodd, Rein M G J Houben, Elizabeth L Corbett, Peter MacPherson

Open access · goldFull text readReview
In one paragraph

Review in PLOS global public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 18% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
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  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Schwalb and Houben Respond to "The Winding Road to ARTI".American journal of epidemiology · 2023
    Article
  11. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 5 institutions in 5 countries.

Hannah M RickmanClinical Research Department, London School of Hygiene & Tropical Medicine, London, United Kingdom.ORCID https://orcid.org/0000-0002-3502-0744
Wala KamchedzeraMalawi Liverpool Wellcome Programme, Blantyre, Malawi.
Alvaro SchwalbTB Modelling Group, TB Centre, London School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID https://orcid.org/0000-0002-6518-9719
Mphatso D PhiriMalawi Liverpool Wellcome Programme, Blantyre, Malawi.ORCID https://orcid.org/0000-0002-4072-9715
Morten RuhwaldFIND, the Global Alliance for Diagnostics, Geneva, Switzerland.
Kwame ShanaubeZambart, Lusaka, Zambia.
Peter J DoddSchool of Health and Related Research, University of Sheffield, Sheffield, United Kingdom.ORCID https://orcid.org/0000-0001-5825-9347
Rein M G J HoubenTB Modelling Group, TB Centre, London School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID https://orcid.org/0000-0003-4132-7467
Elizabeth L CorbettClinical Research Department, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Peter MacPhersonClinical Research Department, London School of Hygiene & Tropical Medicine, London, United Kingdom.ORCID https://orcid.org/0000-0002-0329-9613
University of Liverpool · GBUniversity of London · GBFIND · CHUniversity of Sheffield · GBZambart · ZM

Funding

Medical Research Council MR/P022081/1Wellcome Trust 200901/Z/16/ZWellcome Trust 206575/Z/17/Z
6 · The paper itself

Abstract

Tuberculosis (TB) still causes 1.5 million deaths globally each year. Over recent decades, slow and uneven declines in TB incidence have resulted in a falling prevalence of TB disease, which increasingly concentrates in vulnerable populations. Falling prevalence, while welcome, poses new challenges for TB surveillance. Cross-sectional disease surveys require very large sample sizes to accurately estimate disease burden, and even more participants to detect trends over time or identify high-risk areas or populations, making them prohibitively resource-intensive. In the past, tuberculin skin surveys measuring Mycobacterium tuberculosis (Mtb) immunoreactivity were widely used to monitor TB epidemiology in high-incidence settings, but were limited by challenges with both delivering and interpreting the test. Here we argue that the shifting epidemiology of tuberculosis, and the development of new tests for Mtb infection, make it timely and important to revisit the strategy of TB surveillance based on infection or immunoreactivity. Mtb infection surveys carry their own operational challenges and fundamental questions, for example: around survey design and frequency; which groups should be included; how the prevalence of immunoreactivity in a population should be used to estimate force of infection; how individual results should be interpreted and managed; and how surveillance can be delivered efficiently and ethically. However, if these knowledge gaps are addressed, the relative feasibility and lower costs of Mtb infection surveillance offer a powerful and affordable opportunity to better "know your TB epidemic", understand trends, identify high-risk and underserved communities, and tailor public health responses to dynamic epidemiology.

Identifiers

PMID36962621
PMCPMC10021854
OpenAlexW4307188495

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read69
identifiers read6
Read underepoch 390

Registered trials

None linked

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.