Evidence map›Paper›PMID 35999186›Full record

ArticleTransactions of the Royal Society of Tropical Medicine and Hygiene2022

Genomic surveillance of Salmonella spp. in the Philippines during 2013-2014.

Marietta L Lagrada, Silvia Argimón, Janice B Borlasa, Jaywardeen P Abad, June M Gayeta, Melissa L Masim, Agnettah M Olorosa, Victoria Cohen, Benjamin Jeffrey, Khalil Abudahab and 6 more

Open access · greenAbstract read
In one paragraph

Article in Transactions of the Royal Society of Tropical Medicine and Hygiene, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 26% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Genomic analysis ofFrontiers in microbiology · 2023
    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

16 authors at 4 institutions in 3 countries.

Marietta L LagradaDepartment of Health, Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Muntinlupa 1781, Philippines.ORCID 0000-0001-8585-415X
Silvia ArgimónCentre for Genomic Pathogen Surveillance, Big Data Institute, University of Oxford, Oxford OX3 7FZ, UK.
Janice B BorlasaDepartment of Health, Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Muntinlupa 1781, Philippines.
Jaywardeen P AbadDepartment of Health, Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Muntinlupa 1781, Philippines.
June M GayetaDepartment of Health, Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Muntinlupa 1781, Philippines.
Melissa L MasimDepartment of Health, Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Muntinlupa 1781, Philippines.
Agnettah M OlorosaDepartment of Health, Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Muntinlupa 1781, Philippines.
Victoria CohenCentre for Genomic Pathogen Surveillance, Big Data Institute, University of Oxford, Oxford OX3 7FZ, UK.
Benjamin JeffreyCentre for Genomic Pathogen Surveillance, Big Data Institute, University of Oxford, Oxford OX3 7FZ, UK.
Khalil AbudahabCentre for Genomic Pathogen Surveillance, Big Data Institute, University of Oxford, Oxford OX3 7FZ, UK.
Sonia B SiaDepartment of Health, Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Muntinlupa 1781, Philippines.
Charmian M HufanoDepartment of Health, Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Muntinlupa 1781, Philippines.
John StellingDepartment of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA.
Matthew T G HoldenUniversity of St Andrews School of Medicine, St Andrews KY16 9TF, UK.
David M AanensenCentre for Genomic Pathogen Surveillance, Big Data Institute, University of Oxford, Oxford OX3 7FZ, UK.
Celia C CarlosDepartment of Health, Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Muntinlupa 1781, Philippines.
Research Institute for Tropical Medicine · PHUniversity of Oxford · GBBrigham and Women's Hospital · USUniversity of St Andrews · GB

Funding

Integrating the world's microbiology laboratories into a global microbial surveillance systemU01CA207167 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI STELLING, JOHN · 2016 to 2018
$1.3M
Department of HealthMedical Research Council MR/N019296/1NCI NIH HHS U01 CA207167
6 · The paper itself

Abstract

backgroundIncreasing antimicrobial resistance (AMR) in Salmonella has been observed in the Philippines. We aimed to characterise the population and AMR mechanisms of Salmonella with whole genome sequencing (WGS) and compare it with laboratory surveillance methods.

methodsThe serotype, multilocus sequence type, AMR genes and relatedness between isolates were determined from the genomes of 148 Salmonella Typhi (S. Typhi) and 65 non-typhoidal Salmonella (NTS) collected by the Antimicrobial Resistance Surveillance Program during 2013-2014. Genotypic serotypes and AMR prediction were compared with phenotypic data.

resultsAMR rates in S. Typhi were low, with sparse acquisition of mutations associated with reduced susceptibility to fluoroquinolones or extended-spectrum beta-lactamases (ESBL) genes. By contrast, 75% of NTS isolates were insusceptible to at least one antimicrobial, with more than half carrying mutations and/or genes linked to fluoroquinolone resistance. ESBL genes were detected in five genomes, which also carried other AMR determinants. The population of S. Typhi was dominated by likely endemic genotype 3.0, which caused a putative local outbreak. The main NTS clades were global epidemic S. Enteritidis ST11 and S. Typhimurium monophasic variant (I,4,[5],12: i: -) ST34.

conclusionWe provide the first genomic characterisation of Salmonella from the Philippines and evidence of WGS utility for ongoing surveillance.

Indexed as

Salmonella typhiTyphoid FeverAnti-Bacterial AgentsDrug Resistance, BacterialFluoroquinolonesGenomicsHumansMicrobial Sensitivity TestsPhilippinesAnti-Bacterial AgentsFluoroquinolonesantimicrobial drug resistanceepidemiology/surveillancegenomicssalmonellatyphoid feverwhole genome sequencing

Identifiers

PMID35999186
PMCPMC9717386
OpenAlexW4293032486

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.