Evidence map›Paper›PMID 23274697›Full record

ArticleTropical animal health and production2013

A complementary diagnosis of naturally occurring tuberculosis in water buffaloes (Bubalus bubalis) in Rio de Janeiro using a MPB70-ELISA, Brazil.

Carlos F O Zarden, Carla D Marassi, Walter Oelemann, Walter Lilienbaum

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In one paragraph

Article in Tropical animal health and production, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 42% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Evaluation of serological assays forFrontiers in microbiology · 2025
    Article
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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

4 authors at 3 institutions in 1 country.

Carlos F O ZardenDepartamento de Morfofisiologia Veterinária, Centro de Ciências Agrárias, Universidade Federal do Piauí, Campus Socopo, 64049-550, Teresina, Brazil.
Carla D Marassi
Walter Oelemann
Walter Lilienbaum
Universidade Federal Fluminense · BRUniversidade Federal do Piauí · BRUniversidade Federal do Rio de Janeiro · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As tuberculosis is still a worldwide infection and buffalo breeding represents an important economic activity in various countries, the purpose of this study was to employ an enzyme-linked immunosorbent assay (ELISA) using MPB70 as a capture antigen for the diagnosis of naturally occurring tuberculosis in water buffaloes in Brazil. After the introduction of newly acquired cattle onto a tuberculosis (TB) free farm, an outbreak of TB was recorded in a mixed herd comprising water buffaloes (21) and cattle (46). The entire herd was tested by intradermal tuberculin injection (ITT) and positive animals were slaughtered and tested by culture, polymerase chain reaction (PCR), and ELISA. From the 21 buffaloes sampled, three were reactive by ITT. All the three had positive culture and ELISA, while PCR was positive in two of them. Besides that, one ITT-negative buffalo was slaughtered and presented positive results by both culture and ELISA, and was considered as anergic. Although there were only few animals, those findings demonstrate the diagnostic usefulness of an MPB70-ELISA to correctly detect Mycobacterium bovis tuberculosis in water buffaloes.

Indexed as

Bacterial ProteinsBuffaloesAnimalsAntigens, BacterialBrazilCattleEnzyme-Linked Immunosorbent AssayFemaleMaleMycobacterium bovisPolymerase Chain ReactionTuberculin TestTuberculosisTuberculosis, BovineAntigens, BacterialBacterial ProteinsMPB70 protein, Mycobacterium bovis

Identifiers

PMID23274697
OpenAlexW1989189310

What OpenQuestion holds

Textmetadata
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.