Evidence map›Paper›PMID 31375759›Full record

ArticleScientific reports2019

Modeling and Cost Benefit Analysis to Guide Deployment of POC Diagnostics for Non-typhoidal Salmonella Infections with Antimicrobial Resistance.

Carrie Manore, Todd Graham, Alexa Carr, Alicia Feryn, Shailja Jakhar, Harshini Mukundan, Hannah Callender Highlander

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 18% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Observational
  4. Article
  5. Emerging Strategies against Non-TyphoidalCurrent issues in molecular biology · 2024
    Review
  6. Article
  7. Evaluation ofVaccines · 2022
    Article
  8. Article
  9. Article
  10. Detection ofTheScientificWorldJournal · 2022
    Article
  11. Staged progression epidemic models for the transmission of invasive nontyphoidalMathematical biosciences and engineering : MBE · 2021
    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

7 authors at 2 institutions in 1 country.

Carrie ManoreLos Alamos National Laboratory, Theoretical Biology and Biophysics, Los Alamos, 87544, USA. cmanore@lanl.gov.
Todd GrahamUniversity of Portland, Mathematics Department, Portland, 97203, USA.
Alexa CarrUniversity of Portland, Mathematics Department, Portland, 97203, USA.
Alicia FerynUniversity of Portland, Mathematics Department, Portland, 97203, USA.
Shailja JakharLos Alamos National Laboratory, Chemistry, Los Alamos, 87544, USA.
Harshini MukundanLos Alamos National Laboratory, Chemistry, Los Alamos, 87544, USA.ORCID http://orcid.org/0000-0002-0931-0545
Hannah Callender HighlanderUniversity of Portland, Mathematics Department, Portland, 97203, USA.
University of Portland · USLos Alamos National Laboratory · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Invasive non-typhoidal Salmonella (NTS) is among the leading causes of blood stream infections in sub-Saharan Africa and other developing regions, especially among pediatric populations. Invasive NTS can be difficult to treat and have high case-fatality rates, in part due to emergence of strains resistant to broad-spectrum antibiotics. Furthermore, improper treatment contributes to increased antibiotic resistance and death. Point of care (POC) diagnostic tests that rapidly identify invasive NTS infection, and differentiate between resistant and non-resistant strains, may greatly improve patient outcomes and decrease resistance at the community level. Here we present for the first time a model for NTS dynamics in high risk populations that can analyze the potential advantages and disadvantages of four strategies involving POC diagnostic deployment, and the resulting impact on antimicrobial treatment for patients. Our analysis strongly supports the use of POC diagnostics coupled with targeted antibiotic use for patients upon arrival in the clinic for optimal patient and public health outcomes. We show that even the use of imperfect POC diagnostics can significantly reduce total costs and number of deaths, provided that the diagnostic gives results quickly enough that patients are likely to return or stay to receive targeted treatment.

Indexed as

Cost-Benefit AnalysisModels, EconomicAfrica South of the SaharaAnti-Bacterial AgentsBacteremiaChildDisease OutbreaksDrug Resistance, BacterialHealth Care CostsHumansMicrobial Sensitivity TestsPoint-of-Care SystemsSalmonellaSalmonella InfectionsAnti-Bacterial Agents

Identifiers

PMID31375759
PMCPMC6677775
OpenAlexW2966777578

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.