Evidence map›Paper›PMID 34422235›Full record

ArticleMalawi medical journal : the journal of Medical Association of Malawi2021

The susceptibility of multidrug resistant and biofilm forming

Prisca Damiano, Erick J Salema, Vitus Silago

Open access · greenAbstract read
In one paragraph

Article in Malawi medical journal : the journal of Medical Association of Malawi, 2021. 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
0.4field-weighted citation impact, top 38% 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, 2 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

3 authors at 1 institution in 1 country.

Prisca DamianoDepartment of Pharmaceutical Microbiology, School of Pharmacy, Catholic University of Health and Allied Sciences, Tanzania.
Erick J SalemaDepartment of Pharmaceutical Microbiology, School of Pharmacy, Catholic University of Health and Allied Sciences, Tanzania.
Vitus SilagoDepartment of Microbiology and Immunology, Weill Bugando School of Medicine, Catholic University of Health and Allied Sciences.
Catholic University of Health and Allied Sciences · TZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Non-susceptibility of bacteria to antiseptic agents used for preoperative skin preparations threaten the effectiveness of prevention of surgical site infections. Data concerning susceptibility of multidrug resistant bacteria strains to antiseptic agents was limited at our setting. This study presents the susceptibility of extended spectrum β-lactamases producing Methods: This cross-sectional descriptive study was conducted through July 2020. Presumptive extended spectrum beta-lactamase producing Results: A total of 31 presumptive ESBL producers were recovered and phenotypically confirmed, whereas 54.8% (n=17) were Conclusion: In this study we highlight the existence of multidrug resistant Gram-negative bacteria with resistance to antiseptic agents used for preoperative skin preparation at a zonal referral hospital in Mwanza, Tanzania.

Indexed as

Anti-Bacterial AgentsAnti-Infective Agents, LocalBacteriaBiofilmsCross-Sectional StudiesDrug Resistance, MultipleDrug Resistance, Multiple, BacterialEscherichia coliEscherichia coli InfectionsGram-Negative BacteriaHumansKlebsiella InfectionsKlebsiella pneumoniaeMicrobial Sensitivity TestsTanzaniaAnti-Bacterial AgentsAnti-Infective Agents, Localantiseptic agentsbiofilmsEscherichia coliextended spectrum beta-lactamasesKlebsiella pneumoniaemultidrug resistancesurgical site infections

Identifiers

PMID34422235
PMCPMC8360282
OpenAlexW3162823709

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.