Evidence map›Paper›PMID 16957062›Full record

ArticleClinical and vaccine immunology : CVI2006

Validation of a competitive enzyme-linked immunosorbent assay for detection of antibodies against Babesia bovis.

Will L Goff, John B Molloy, Wendell C Johnson, Carlos E Suarez, Ignacio Pino, Abdelkebir Rhalem, Hamid Sahibi, Luigi Ceci, Grazia Carelli, D Scott Adams and 3 more

Open access · diamondAbstract readComparative StudyValidation Study
In one paragraph

Article in Clinical and vaccine immunology : CVI, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.5field-weighted citation impact, top 20% 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

22 citing papers in PubMed, 46 citations in OpenAlex.

  1. 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

13 authors at 5 institutions in 5 countries.

Will L GoffAnimal Disease Research Unit, Agricultural Research Service, U.S. Department of Agriculture, Pullman, Washington 99164-6630, USA. wgoff@vetmed.wsu.edu
John B Molloy
Wendell C Johnson
Carlos E Suarez
Ignacio Pino
Abdelkebir Rhalem
Hamid Sahibi
Luigi Ceci
Grazia Carelli
D Scott Adams
Travis C McGuire
Donald P Knowles
Terry F McElwain
Agricultural Research Service · USInstitut Agronomique et Vétérinaire Hassan II · MAUnited States Department of Agriculture · USUniversity of Puerto Rico-Mayaguez · PRNew South Wales Department of Primary Industries · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A previously developed competitive enzyme-linked immunosorbent assay (cELISA) based on a species-specific, broadly conserved, and tandemly repeated B-cell epitope within the C terminus of rhoptry-associated protein 1 of Babesia bovis was refined and validated for use internationally. Receiver operating characteristic analysis revealed an assay with a specificity and positive predictive value of 100% and a sensitivity of 91.1%, with various negative predictive values depending on the level of disease prevalence. The cELISA was distributed to four different laboratories, along with a reference set of 100 defined bovine sera, including known-positive, known-negative, and field samples. Pairwise concordances among the four laboratories ranged from 94% to 88%. Analysis of variance of the resulting optical densities and a test of homogeneity indicated no significant difference among the laboratories. Overall, the cELISA appears to have the attributes necessary for international application.

Indexed as

AnimalsAntibodies, MonoclonalAntibodies, ProtozoanBabesia bovisBabesiosisCattleEnzyme-Linked Immunosorbent AssayPolymerase Chain ReactionPredictive Value of TestsSensitivity and SpecificityAntibodies, MonoclonalAntibodies, Protozoan

Identifiers

PMID16957062
PMCPMC1656553
OpenAlexW2112677878

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.