Evidence map›Paper›PMID 36039784›Full record

ReviewJournal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc2022

A review of cardiac blackleg in cattle, and report of 2 cases without skeletal muscle involvement in Argentina.

Eleonora L Morrell, Ernesto Odriozola, Matías A Dorsch, María A Fiorentino, María E Rivera, Robert Poppenga, Mauricio A Navarro, Francisco A Uzal, Germán Cantón

Open access · greenAbstract readCase ReportsReview
In one paragraph

Review in Journal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 36% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Atypical Prolonged Clinical Course of Blackleg in Nelore Cattle.Animals : an open access journal from MDPI · 2026
    Article
  2. Review
  3. Article
  4. Article
  5. 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

9 authors at 5 institutions in 4 countries.

Eleonora L MorrellNational Institute of Agricultural Technology, Balcarce, Argentina.
Ernesto OdriozolaNational Institute of Agricultural Technology, Balcarce, Argentina.
Matías A DorschFaculty of Agricultural Sciences, National University of Mar del Plata, Balcarce, Argentina.ORCID 0000-0002-7061-8629
María A FiorentinoNational Institute of Agricultural Technology, Balcarce, Argentina.
María E RiveraNational Institute of Agricultural Technology, Balcarce, Argentina.
Robert PoppengaDavis Laboratories, School of Veterinary Medicine, University of California-Davis, CA, USA.
Mauricio A NavarroCalifornia Animal Health and Food Safety Laboratory System, San Bernardino, CA, USA.
Francisco A UzalCalifornia Animal Health and Food Safety Laboratory System, San Bernardino, CA, USA.ORCID 0000-0003-0681-1878
Germán CantónNational Institute of Agricultural Technology, Balcarce, Argentina.ORCID 0000-0003-3494-8193
National Agricultural Technology Institute · ARNational University of Mar del Plata · ARAustral University of Chile · CLCalifornia State University, San Bernardino · USUniversity of California, Davis · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Blackleg is an infectious disease caused by

Indexed as

Cattle DiseasesClostridium InfectionsMyocarditisPericarditisPleurisyAnimalsArgentinaCattleMuscle, SkeletalblacklegbovineClostridium chauvoeimyocarditis

Identifiers

PMID36039784
PMCPMC9597342
OpenAlexW4293553138

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.