Evidence map›Paper›PMID 37124857›Full record

ArticleIranian journal of microbiology2022

Incidence and antibiotic susceptibility profile of uropathogenic

Chikaodili J Nwokolo, Malachy C Ugwu, Chika P Ejikeugwu, Ifeanyichukwu R Iroha, Charles O Esimone

Open access · diamondAbstract read
In one paragraph

Article in Iranian journal of microbiology, 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
0.2field-weighted citation impact, top 60% 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, 3 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. 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

5 authors at 1 institution in 1 country.

Chikaodili J NwokoloDepartment of Pharmaceutical Microbiology & Biotechnology, Faculty of Pharmaceutical Sciences, Nnamdi Azikiwe University, Awka, Nigeria.
Malachy C UgwuDepartment of Pharmaceutical Microbiology & Biotechnology, Faculty of Pharmaceutical Sciences, Nnamdi Azikiwe University, Awka, Nigeria.
Chika P EjikeugwuDepartment of Applied Microbiology, Faculty of Science, Ebonyi State University, Abakilikii, Ngeria.
Ifeanyichukwu R IrohaDepartment of Applied Microbiology, Faculty of Science, Ebonyi State University, Abakilikii, Ngeria.
Charles O EsimoneDepartment of Pharmaceutical Microbiology & Biotechnology, Faculty of Pharmaceutical Sciences, Nnamdi Azikiwe University, Awka, Nigeria.
Nnamdi Azikiwe University · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objectives: This study investigated the incidence and antibiotic susceptibility profile of extended spectrum β-lactamase (ESBL) producing uropathogenic Materials and Methods: A total of 363 urine samples were bacteriologically analyzed for the isolation of Results: A total 160 (44.1%) non-duplicate isolates were bacteriologically confirmed to be uropathogenic Conclusion: We report a high prevalence of ESBL producers among HIV/AIDS patients in Awka, Nigeria. This result is important as antibiotic resistance (ABR) particularly those mediated by multidrug resistant bacteria as reported in this current study could complicate treatment outcome, worsen the individual's health, and even increase cost of treatment and hospitalization. It is therefore important to lookout for ESBL positive UPEC amongst HIV/AIDS patients in Nigeria.

Indexed as

Antimicrobial resistanceDrug resistanceExtended-spectrum β-lactamaseHIVUropathogenic Escherichia coli

Identifiers

PMID37124857
PMCPMC10132329
OpenAlexW4283212079

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.