Evidence map›Paper›PMID 35348352›Full record

ArticleMicrobiology spectrum2022

Reliability of Genetic Alterations in Predicting Ceftriaxone Resistance in Neisseria gonorrhoeae Globally.

Eric Yu Lin, Paul C Adamson, Sung-Min Ha, Jeffrey D Klausner

Open access · goldAbstract read
In one paragraph

Article in Microbiology spectrum, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 27% 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, 8 citations in OpenAlex.

  1. Review
  2. Evaluation ofInfection and drug resistance · 2023
    Article
  3. Article
  4. The Optimal Management ofMicroorganisms · 2022
    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

4 authors at 2 institutions in 1 country.

Eric Yu LinDavid Geffen School of Medicine at UCLAgrid.471398.0, Los Angeles, California, USA.ORCID 0000-0003-2800-9501
Paul C AdamsonDivision of Infectious Diseases, David Geffen School of Medicine at UCLAgrid.471398.0, Los Angeles, California, USA.ORCID 0000-0002-2776-6458
Sung-Min HaDepartment of Integrative Biology and Physiology, UCLA, Los Angeles, California, USA.ORCID 0000-0003-3945-8329
Jeffrey D KlausnerDepartment of Population and Public Health Sciences, Keck School of Medicine of USC, Los Angeles, California, USA.ORCID 0000-0002-6922-7364
University of California, Los Angeles · USKeck Hospital of USC · US

Funding

UCLA Rapid, Relevant, Rigorous Implementation Science HubP30MH058107 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Nina Thawata Harawa · 1997 to 2026
$53.5M
UCLA-Caltech Medical Scientist Training ProgramT32GM008042 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI AJIJOLA, OLUJIMI A, DAWSON, DAVID WAYNE · 1985 to 2023
$29.9M
Postdoctoral Training in Global AIDS Prevention ResearchT32MH080634 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI JESSE LAWTON CLARK, Pamina Mae Gorbach · 2007 to 2026
$6.4M
NIGMS NIH HHS T32 GM008042NIMH NIH HHS P30 MH058107NIMH NIH HHS T32 MH080634
6 · The paper itself

Abstract

Antimicrobial resistance in N. gonorrhoeae is increasing globally, and ceftriaxone is the recommended treatment for empirical therapy in most settings. Developing molecular assays to detect decreased ceftriaxone susceptibility is critical. Using PathogenWatch, a public database of N. gonorrhoeae genomes, antibiotic susceptibility data and DNA sequences of different genes associated with ceftriaxone resistance were extracted. That information was used to determine the sensitivity and specificity of different molecular markers and algorithms to predict decreased susceptibility to ceftriaxone. A total of 12,943 N. gonorrhoeae genomes were extracted from the PathogenWatch database, of which 9,540 genomes were used in the analysis. The sensitivity and specificity of specific molecular markers and algorithms were largely consistent with prior reports. Small variation (<10%) in either sensitivity or specificity occurred. Certain algorithms using different molecular markers at various prevalence of decreased ceftriaxone susceptibility identified a potentially clinically useful range of positive and negative predictive values. We validated previously described mutations and algorithms in a large public database containing a global collection of N. gonorrhoeae genomes. Certain mutations and algorithms resulted in sensitivity and specificity values consistent with those of prior studies. Further research is needed to integrate these markers and algorithms into the development of molecular assays to predict decreased ceftriaxone susceptibility.

Indexed as

GonorrheaNeisseria gonorrhoeaeAnti-Bacterial AgentsCeftriaxoneDrug Resistance, BacterialGenetic MarkersHumansMicrobial Sensitivity TestsMutationReproducibility of ResultsAnti-Bacterial AgentsCeftriaxoneGenetic Markersalgorithmsantimicrobial resistanceassaysceftriaxonegenetic information databasegenetic markersNeisseria gonorrhoeae

Identifiers

PMID35348352
PMCPMC9045316
OpenAlexW4221041871

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.