Evidence map›Paper›PMID 34385981›Full record

ArticleFrontiers in microbiology2021

Antimicrobial Resistance Profiling and Phylogenetic Analysis of

Meshack Juma, Arun Sankaradoss, Redcliff Ndombi, Patrick Mwaura, Tina Damodar, Junaid Nazir, Awadhesh Pandit, Rupsy Khurana, Moses Masika, Ruth Chirchir and 5 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 19% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Antimicrobial susceptibility profile ofSexually transmitted infections · 2024
    Article
  5. Article
  6. Article
  7. Antibiotic-resistantInternational journal of STD & AIDS · 2022
    Article
  8. 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

15 authors at 3 institutions in 2 countries.

Meshack JumaKAVI Institute of Clinical Research, University of Nairobi, Nairobi, Kenya.
Arun SankaradossNational Centre for Biological Sciences, Tata Institute of Fundamental Research (TIFR), Bengaluru, India.
Redcliff NdombiKAVI Institute of Clinical Research, University of Nairobi, Nairobi, Kenya.
Patrick MwauraKAVI Institute of Clinical Research, University of Nairobi, Nairobi, Kenya.
Tina DamodarNational Centre for Biological Sciences, Tata Institute of Fundamental Research (TIFR), Bengaluru, India.
Junaid NazirNational Centre for Biological Sciences, Tata Institute of Fundamental Research (TIFR), Bengaluru, India.
Awadhesh PanditNational Centre for Biological Sciences, Tata Institute of Fundamental Research (TIFR), Bengaluru, India.
Rupsy KhuranaNational Centre for Biological Sciences, Tata Institute of Fundamental Research (TIFR), Bengaluru, India.
Moses MasikaKAVI Institute of Clinical Research, University of Nairobi, Nairobi, Kenya.
Ruth ChirchirKAVI Institute of Clinical Research, University of Nairobi, Nairobi, Kenya.
John GachieKAVI Institute of Clinical Research, University of Nairobi, Nairobi, Kenya.
Sudhir KrishnaNational Centre for Biological Sciences, Tata Institute of Fundamental Research (TIFR), Bengaluru, India.
Ramanathan SowdhaminiNational Centre for Biological Sciences, Tata Institute of Fundamental Research (TIFR), Bengaluru, India.
Omu AnzalaKAVI Institute of Clinical Research, University of Nairobi, Nairobi, Kenya.
Iyer S MeenakshiNational Centre for Biological Sciences, Tata Institute of Fundamental Research (TIFR), Bengaluru, India.
University of Nairobi · KENational Centre for Biological Sciences · INTata Institute of Fundamental Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAfrica has one of the highest incidences of gonorrhea.

methodsUsing WGS, the isolates were confirmed to be cases of

resultsWe observe that ciprofloxacin resistance is associated with multiple mutations in both gyrA and parC. Mutations conferring tetracycline (

conclusionHere, we demonstrate the utility of mobile DNA sequencing technology in producing a consensus genome for sequence typing and detection of genetic determinants of AMR. The workflow followed in the study, including AMR mutation dataset creation and the genome identification, assembly, and analysis, can be used for any clinical isolate. Further studies are required to determine the utility of real-time sequencing in outbreak investigations, diagnosis, and management of infections, especially in resource-limited settings.

Indexed as

AMR predictionantimicrobial resistancenanopore sequencingsequence-typingwhole-genome sequencing

Identifiers

PMID34385981
PMCPMC8353456
OpenAlexW3185903463

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.