Evidence map›Paper›PMID 41165435›Full record

ReviewJournal of clinical microbiology2026

Diagnosis of leptospirosis in animals: challenges and perspectives.

Myranda Gorman, Bryanna Fayne, Sreekumari Rajeev

Abstract readReview
In one paragraph

Review in Journal of clinical microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. A systematic review and meta-analysis ofOne health (Amsterdam, Netherlands) · 2026
    Review
  3. Review
  4. Molecular identification and phylogenetic characterization ofJournal of advanced veterinary and animal research · 2026
    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

3 authors.

Myranda GormanDepartment of Biomedical and Diagnostic Sciences, University of Tennessee College of Veterinary Medicine, Knoxville, Tennessee, USA.ORCID 0009-0000-7825-1780
Bryanna FayneDepartment of Biomedical and Diagnostic Sciences, University of Tennessee College of Veterinary Medicine, Knoxville, Tennessee, USA.
Sreekumari RajeevDepartment of Biomedical and Diagnostic Sciences, University of Tennessee College of Veterinary Medicine, Knoxville, Tennessee, USA.ORCID 0000-0001-6600-9102

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Leptospirosis is a life-threatening zoonotic disease with a major public and animal health impact. Annually, approximately 1.03 million people are affected by leptospirosis, but our understanding of its impact on animals is limited. The epidemiology, pathogenesis, clinical presentation, diagnostic methods, and control measures for this disease differ significantly between humans and animals. This difference is due in part to the wide range of animal species that can be infected, the different infecting serovars present across species and geographic regions, and the existence of chronic asymptomatic reservoirs. Additionally, diagnosing leptospirosis in animals is complicated by the limited availability of sensitive, specific, and affordable diagnostic tools that can be employed at the point of care. There is often a trade-off between the sensitivity/specificity and accessibility of these diagnostics, and no single diagnostic test is entirely reliable. Many newer diagnostic methods lack validation for use in various animal species and clinical samples. In this minireview, we discuss the methods used for detecting

Indexed as

Diagnostic Tests, RoutineLeptospiraLeptospirosisAnimalsHumansSensitivity and SpecificityZoonosesdiagnosticsLeptospiraleptospirosisveterinary microbiology

Identifiers

PMID41165435
PMCPMC12977575

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.