Evidence map›Paper›PMID 32818395›Full record

ArticleEmerging infectious diseases2020

No Change in Risk for Antibiotic-Resistant Salmonellosis from Beef, United States, 2002-2010.

Solenne Costard, Jane G Pouzou, Keith E Belk, Paul S Morley, John W Schmidt, Tommy L Wheeler, Terrance M Arthur, Francisco J Zagmutt

Open access · diamondAbstract read
In one paragraph

Article in Emerging infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 22% 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, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Article
  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

8 authors at 3 institutions in 1 country.

Solenne Costard
Jane G Pouzou
Keith E Belk
Paul S Morley
John W Schmidt
Tommy L Wheeler
Terrance M Arthur
Francisco J Zagmutt
Colorado State University · USWest Texas A&M University · USEP Analytics (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Restricting antibiotic use in food production animals is a target for reducing antimicrobial drug-resistant infections in humans. We used US surveillance data to estimate the probability of antibiotic-resistant nontyphoidal salmonellosis per meal made with beef during 2002-2010. Applying data for nontyphoidal Salmonella in raised-without-antibiotics cattle, we tested the effect of removing antibiotic use from all beef cattle production. We found an average of 1.2 (95% credible interval 0.6-4.2) antibiotic-resistant nontyphoidal salmonellosis cases per 1 million beef meals made with beef initially contaminated with antibiotic-resistant nontyphoidal Salmonella at slaughter or retail and 0.031 (95% credible interval 0.00018-0.14) cases per 1 million meals irrespective of beef contamination status. Neither outcome showed sustained change except for increases in 2003 and 2009 (>98% confidence) when larger or more outbreaks occurred. Switching all beef production to a raised-without-antibiotics system may not have a significant effect on antibiotic-resistant nontyphoidal salmonellosis (94.3% confidence).

Indexed as

Salmonella Food PoisoningSalmonella InfectionsAnimalsAnti-Bacterial AgentsCattleDrug Resistance, MicrobialFood MicrobiologySalmonellaUnited StatesAnti-Bacterial Agentsantibacterial drug resistanceantibiotic resistanceantimicrobial resistancebacteriabeeffoodborne diseasesfood safetynontyphoidal salmonellosisRisk assessmentsalmonellaUnited States

Identifiers

PMID32818395
PMCPMC7454111
OpenAlexW3045646200

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.