Evidence map›Paper›PMID 37406047›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2023

Using Colonization to Understand the Burden of Antimicrobial Resistance Across Low- and Middle-Income Countries.

Ashley Styczynski, Carolyn Herzig, Ulzii-Orshikh Luvsansharav, L Clifford McDonald, Rachel M Smith

Abstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
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

13 citing papers in PubMed.

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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

5 authors.

Ashley StyczynskiDivision of Healthcare Quality Promotion, US Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Carolyn HerzigDivision of Healthcare Quality Promotion, US Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Ulzii-Orshikh LuvsansharavDivision of Healthcare Quality Promotion, US Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
L Clifford McDonaldDivision of Healthcare Quality Promotion, US Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Rachel M SmithDivision of Healthcare Quality Promotion, US Centers for Disease Control and Prevention, Atlanta, Georgia, USA.

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

Understanding the burden of antibiotic resistance globally is hindered by incomplete surveillance, particularly across low-resource settings. The Antibiotic Resistance in Communities and Hospitals (ARCH) consortium encompasses sites across 6 resource-limited settings and is intended to address these gaps. Supported by the Centers for Disease Control and Prevention, the ARCH studies seek to characterize the burden of antibiotic resistance by examining colonization prevalence at the community and hospital level and to evaluate for risk factors that are associated with colonization. In this supplement, 7 articles present results from these initial studies. Though future studies identifying and evaluating prevention strategies will be critical to mitigate spreading resistance and its impact on populations, the findings from these studies address important questions surrounding the epidemiology of antibiotic resistance.

Indexed as

Anti-Bacterial AgentsDrug Resistance, BacterialDeveloping CountriesForecastingHospitalsHumansAnti-Bacterial Agentsantibiotic resistancecolonizationepidemiologic trendshealth outcomes

Identifiers

PMID37406047
PMCPMC10851945

What OpenQuestion holds

Textmetadata
LicenceTDM
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.