Evidence map›Paper›PMID 42682525›Full record

ArticleArchives of Razi Institute2025

Clinical and Microbiological Insights into Caseous Lymphadenitis in Sheep and Goats in Khorasan Razavi, Iran.

Firozeh Anoosh, Mohammadi Gholamreza, Rad Mehrnaz

Abstract read
In one paragraph

Article in Archives of Razi Institute, 2025. 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

3 authors.

Firozeh AnooshDepartment of Clinical Sciences, Faculty of Veterinary Medicine, Ferdowsi University of Mashhad, Mashhad, Iran.
Mohammadi GholamrezaDepartment of Clinical Sciences, Faculty of Veterinary Medicine, Ferdowsi University of Mashhad, Mashhad, Iran.
Rad MehrnazDepartment of Pathobiology, Faculty of Veterinary Medicine, Ferdowsi University of Mashhad, Mashhad, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Caseous lymphadenitis (CLA), a chronic bacterial disease caused by Materials & Methods: We examined 15 flocks totaling 4,733 animals (4,640 sheep, 93 goats) through clinical inspections and microbiological analysis of pus samples from affected lymph nodes. Results: The results revealed a lymphadenitis prevalence of 11.59% (95% CI, 10.58%, 12.66%), with 8.62% of sheep (400/4640) and 8.60% of goats (8/93) affected, varying across flocks from 0% to 28.57%. Submandibular lymph nodes were most commonly affected (51.35%), followed by retropharyngeal (18.02%) and parotid (15.32%) nodes, with peak incidence in the 2-3-year age group (38.24%), likely linked to shearing practices. Bacteriological analysis of 102 pus samples identified Conclusion: These findings indicate CLA etiology is complex, extending beyond a single pathogen and influenced by local husbandry practices. The study underscores CLA's economic burden and zoonotic potential, given rare but documented human cases. Integrated control measures-enhanced molecular diagnostics, recombinant phospholipase D (PLD) vaccine trials, and improved biosecurity-are urgently needed. Future research should prioritize genomic strain typing and environmental reservoir analysis to refine CLA management in Northeast Iran, offering insights applicable to similar agroecosystems globally.

Indexed as

Corynebacterium InfectionsCorynebacterium pseudotuberculosisGoat DiseasesLymphadenitisSheep DiseasesAnimalsFemaleGoatsIranPrevalenceSheepCorynebacterium pseudotuberculosis (CLA)IranLymphadenitisMicrobial diversitySmall ruminants

Identifiers

PMID42682525
PMCPMC13529606

What OpenQuestion holds

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Registered trials

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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.