Evidence map›Paper›PMID 42306593›Full record

ArticleOne health (Amsterdam, Netherlands)2026

Zoonotic tuberculosis: When diagnostic and surveillance systems are not designed to detect it.

Ana Marcia Sá Guimarães, Kevim Bordignon Guterres, Maria Clara da Silva Galrão Cunha, Erica Chimara, Maria de Lourdes Viude de Oliveira, Flábio Araújo

Abstract read
In one paragraph

Article in One health (Amsterdam, Netherlands), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Ana Marcia Sá GuimarãesDepartment of Microbiology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil.
Kevim Bordignon GuterresDepartment of Microbiology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil.
Maria Clara da Silva Galrão CunhaDepartment of Microbiology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil.
Erica ChimaraTuberculosis and Mycobacteriosis Laboratory (NTM), Adolfo Lutz Institute, São Paulo, Brazil.
Maria de Lourdes Viude de OliveiraTuberculosis Division, Center for Epidemiologic Surveillance "Prof Alexandre Vranjac", São Paulo State Secretariat of Health, São Paulo, Brazil.
Flábio AraújoEmbrapa Gado de Corte, Campo Grande, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Zoonotic tuberculosis (zTB) remains a blind spot in TB control, sustained less by biological rarity than by diagnostic and surveillance design. Brazil illustrates this gap: despite endemic bovine TB and sustained zoonotic transmission risks, zTB is rarely identified because it is not actively targeted. We show that only two human zTB cases were notified between 2013 and 2024 following introduction of reporting, and six cases are described in the literature. Further detection of mono-pyrazinamide resistance may represent undiagnosed zTB, but diagnostic gaps prevent estimation. By outlining current diagnostic paths, we argue that the human-centric diagnostics obscures occupational, foodborne, and animal-linked infection. Emerging subnational One Health initiatives demonstrate that integrated animal-human surveillance is feasible. Therefore, we propose a risk-based, One Health diagnostic protocol for zTB within the Brazilian public health system, and argue that without structural and policy adaptation, human-TB elimination strategies will continue to exclude zTB by design, not only in Brazil.

Indexed as

Mycobacterium bovisOne healthTuberculosisZoonosisZoonotic tuberculosis

Identifiers

PMID42306593
PMCPMC13265693

What Socratic holds

Textmetadata
LicenceCC BY-NC
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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 Socratic graph.