Evidence map›Paper›PMID 34368694›Full record

ArticleInfection prevention in practice2020

Bacterial resistance to antibiotics and associated factors in two hospital centers in Lebanon from January 2017 to June 2017.

Salim Salloum, Michel Tawk, Loubna Tayyara

Open access · goldAbstract read
In one paragraph

Article in Infection prevention in practice, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 52% 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

5 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
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  5. Characterization of OralFrontiers in microbiology · 2021
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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

3 authors at 2 institutions in 1 country.

Salim SalloumInternal Medicine Resident, Lebanese University, Lebanon.
Michel TawkInternal Medicine Resident, Lebanese University, Rouphael Abou Jawde Street, Anwar Sello Building, Third Floor, Zalka, Lebanon.
Loubna TayyaraDoctor of Internal and Pulmonary Medicine, Master Degree in Epidemiology and Biostatistics, Research Carried Out in Lebanese Hospital Geitaoui, Makassed General Hospital, Lebanon.
Lebanese University · LBMakassed General Hospital · LB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

general presentationResistance of bacteria to antibiotics is a universal problem. With the increase in the rate of resistance, knowledge of susceptibility patterns is essential to guide antimicrobial therapy. In Lebanon, many studies investigated this subject.

objectivesDetermine the rate of multidrug and extremely drug-resistant bacteria as well as the patterns of resistance and the factors associated with this resistance. MATERIALS AND

methodsA cross-sectional study was performed using the cultures from the labs of two university hospitals in Lebanon. Bacteria were divided into four groups: sensitive, multidrug-, extremely- and pan-drug resistant. Patient information was obtained from the medical records. Using the SPSS software for Windows, version 20 (IBM, Armonk, USA), the frequency of the bacteria, their susceptibilities and the association of resistance with seven potential factors (age, gender, diabetes mellitus, cancer, chronic kidney disease, dialysis, previous hospitalization) were studied.

resultsThe frequency of resistance was 53.7% (39.9% multidrug-resistant and 13.8% extremely drug-resistant).

conclusionResistance of bacteria to drugs in Lebanon is increasing. Significant association is seen between these bacteria and older age, chronic kidney disease, dialysis, and previous hospitalization.

Indexed as

Antibiotic resistanceGram-negative bacteriaGram-positive bacteriaLebanonMulti-drug resistance

Identifiers

PMID34368694
PMCPMC8335911
OpenAlexW3005917876

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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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.