Evidence map›Paper›PMID 32936877›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2021

Subclinical Tuberculosis Disease-A Review and Analysis of Prevalence Surveys to Inform Definitions, Burden, Associations, and Screening Methodology.

Beatrice Frascella, Alexandra S Richards, Bianca Sossen, Jon C Emery, Anna Odone, Irwin Law, Ikushi Onozaki, Hanif Esmail, Rein M G J Houben

Registry-linked trialAbstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07517471 (Start4All - Start Taking Action for TB Diagnosis SCREEN-TB), which is not on this map. Cited by 200 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
200citing papers in PubMed, 6 pooled it
–field-weighted citation impact
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.

NCT07517471 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

Start4All - Start Taking Action for TB Diagnosis SCREEN-TB

TypeinterventionalSponsorLiverpool School of Tropical MedicineRan2026 to 2027Enrolled37,000ConditionsTB - TuberculosisArmsNear point of care (NPOC) NAATs, Low-complexity nucleic acid amplification tests (LC-NAATs), LC-NAAT using pooled testing, Portable Chest X-ray Image Acquisition, Computer-Aided Detection (CAD) Chest X-ray (CXR-AI)
3 · Its place in the literature

Who cites it

200 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Pooled it
  2. Subclinical tuberculosis: a meta-analysis of prevalence and scoping review of definitions, prevalence and clinical characteristics.European respiratory review : an official journal of the European Respiratory Society · 2024
    Pooled it
  3. Yield and Efficiency of a Population-Based Mass Tuberculosis Screening Intervention Among Persons With Diabetes in Jiangsu Province, China.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023
    Pooled it
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  7. Household Contact Tracing With Intensified Tuberculosis and Human Immunodeficiency Virus Screening in South Africa: A Cluster-Randomized Trial.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2022
    Trial
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  15. Lung Resident T Cells Across the Spectrum of TB Infection and Disease.bioRxiv : the preprint server for biology · 2026
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140 more citing papers are in PubMed but not listed here.

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

9 authors.

Beatrice FrascellaSchool of Public Health, Vita-Salute San Raffaele University, Milan, Italy.
Alexandra S RichardsTB Modelling Group, TB Centre, London School of Hygiene and Tropical Medicine, London,United Kingdom.
Bianca SossenInstitute for Global Health, University College London, London,United Kingdom.
Jon C EmeryTB Modelling Group, TB Centre, London School of Hygiene and Tropical Medicine, London,United Kingdom.
Anna OdoneSchool of Public Health, Vita-Salute San Raffaele University, Milan, Italy.
Irwin LawGlobal Tuberculosis Programme, World Health Organization, Geneva,Switzerland.
Ikushi OnozakiWorld Health Organization, Yangon,Myanmar.
Hanif EsmailInstitute for Global Health, University College London, London,United Kingdom.
Rein M G J HoubenTB Modelling Group, TB Centre, London School of Hygiene and Tropical Medicine, London,United Kingdom.

Funding

Medical Research Council MC_UU_00004/04World Health Organization 001
6 · The paper itself

Abstract

While it is known that a substantial proportion of individuals with tuberculosis disease (TB) present subclinically, usually defined as bacteriologically-confirmed but negative on symptom screening, considerable knowledge gaps remain. Our aim was to review data from TB prevalence population surveys and generate a consistent definition and framework for subclinical TB, enabling us to estimate the proportion of TB that is subclinical, explore associations with overall burden and program indicators, and evaluate the performance of screening strategies. We extracted data from all publicly available prevalence surveys conducted since 1990. Between 36.1% and 79.7% (median, 50.4%) of prevalent bacteriologically confirmed TB was subclinical. No association was found between prevalence of subclinical and all bacteriologically confirmed TB, patient diagnostic rate, or country-level HIV prevalence (P values, .32, .4, and .34, respectively). Chest Xray detected 89% (range, 73%-98%) of bacteriologically confirmed TB, highlighting the potential of optimizing current TB case-finding policies.

Indexed as

TuberculosisHumansMass ScreeningPrevalenceSurveys and QuestionnairesThoraxchest X-ray screeningsubclinical TBsymptom screeningTB prevalence surveysTB screening

Identifiers

PMID32936877
PMCPMC8326537

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.