Evidence map›Paper›PMID 24236166›Full record

ArticlePloS one2013

Production of the first effective hyperimmune equine serum antivenom against Africanized bees.

Keity Souza Santos, Marco Antonio Stephano, José Roberto Marcelino, Virginia Maria Resende Ferreira, Thalita Rocha, Celso Caricati, Hisako Gondo Higashi, Ana Maria Moro, Jorge Elias Kalil, Osmar Malaspina and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 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
9.9field-weighted citation impact, top 2% 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, 80 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
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

12 authors at 5 institutions in 1 country.

Keity Souza SantosDivision of Clinical Immunology and Allergy, University of São Paulo School of Medicine, FMUSP, São Paulo, Brazil ; Institute for Investigation in Immunology-INCT, São Paulo, SP, Brazil ; Heart Institute (InCor), LIM-19, University of São Paulo School of Medicine, São Paulo, SP, Brazil.
Marco Antonio Stephano
José Roberto Marcelino
Virginia Maria Resende Ferreira
Thalita Rocha
Celso Caricati
Hisako Gondo Higashi
Ana Maria Moro
Jorge Elias Kalil
Osmar Malaspina
Fabio Fernandes Morato Castro
Mário Sérgio Palma
Universidade de São Paulo · BRInstituto Butantan · BRInstituto de Ciências Farmacêuticas · BRInstituto de Tecnologia do Paraná · BRUniversidade São Francisco · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Victims of massive bee attacks become extremely ill, presenting symptoms ranging from dizziness and headache to acute renal failure and multiple organ failure that can lead to death. Previous attempts to develop specific antivenom to treat these victims have been unsuccessful. We herein report a F(ab)(´)(2)-based antivenom raised in horse as a potential new treatment for victims of multiple bee stings. The final product contains high specific IgG titers and is effective in neutralizing toxic effects, such as hemolysis, cytotoxicity and myotoxicity. The assessment of neutralization was revised and hemolysis, the primary toxic effect of these stings, was fully neutralized in vivo for the first time.

Indexed as

AnimalsAntibodies, NeutralizingAntiveninsBeesBee VenomsDose-Response Relationship, ImmunologicHemolysisHorsesImmunizationImmunoglobulin Fab FragmentsImmunoglobulin GMaleMiceNeutralization TestsAntibodies, NeutralizingAntiveninsBee VenomsImmunoglobulin Fab FragmentsImmunoglobulin G

Identifiers

PMID24236166
PMCPMC3827448
OpenAlexW2045742996

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.