Evidence map›Paper›PMID 36264155›Full record

ArticleAnnals of medicine2022

Identification and characterization of bacteria isolated from patients with cystic fibrosis in Jordan.

Nid'a Alshraiedeh, Farah Atawneh, Rasha Bani-Salameh, Rawan Alsharedeh, Yara Al Tall, Mohammad Alsaggar

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Annals of medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

6 authors at 2 institutions in 1 country.

Nid'a AlshraiedehDepartment of Pharmaceutical Technology, Jordan University of Science and Technology, Irbid, Jordan.
Farah AtawnehDepartment of Medical Laboratory Sciences, Jordan University of Science and Technology, Irbid, Jordan.
Rasha Bani-SalamehDepartment of Medical Laboratory Sciences, Jordan University of Science and Technology, Irbid, Jordan.
Rawan AlsharedehDepartment of the Pharmaceutics and Pharmaceutical Technology, Yarmouk University, Irbid, Jordan.
Yara Al TallDepartment of Pharmaceutical Technology, Jordan University of Science and Technology, Irbid, Jordan.
Mohammad AlsaggarDepartment of Pharmaceutical Technology, Jordan University of Science and Technology, Irbid, Jordan.
Jordan University of Science and Technology · JOYarmouk University · JO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNotable emergence of multidrug-resistant bacteria has become increasingly problematic worldwide. Most patients with cystic fibrosis (CF) suffer from chronic persistent infections with frequent occurrence of acute exacerbations. Routine screening of bacterial strains, epidemiological characteristics, and resistance patterns are particularly useful for patient management and maintenance of infection control procedures.

methodsIn this study, 43 pharyngeal samples were taken from patients with CF. Microbiological bacterial culture and identification, antimicrobial susceptibility testings, biofilm formation, including minimum biofilm eradication concentration (MBEC) and PCR for detecting resistance genes were performed.

resultsAll samples were positive for bacterial growth. The predominant species were

conclusionsThe majority of isolated bacteria were

Indexed as

Cystic FibrosisAnti-Bacterial AgentsHumansJordanPseudomonas aeruginosaStaphylococcus aureusAnti-Bacterial AgentsAntimicrobial resistanceantimicrobial resistance genesbiofilmcystic fibrosis

Identifiers

PMID36264155
PMCPMC9586617
OpenAlexW4306912234

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.