Evidence map›Paper›PMID 21911982›Full record

ArticleAnnals of Saudi medicine

Frequency and antibiotic susceptibility of gram-positive bacteria in Makkah hospitals.

Atif H Asghar

Abstract read
In one paragraph

Article in Annals of Saudi medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

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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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Transmission of Antimicrobial Resistant Bacteria at the Hajj: A Scoping Review.International journal of environmental research and public health · 2022
    Article
  4. Review
  5. Article
  6. Article
  7. 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

1 author.

Atif H AsgharDepartment of Environmental and Health Research, The Custodian of The Two Holy Mosques Institute of Hajj Research, Umm Al-Qura University, Makkah, Saudi Arabia. asghar1000@gmail.com

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveGram-positive bacteria are important nosocomial pathogens. The objective of this study was to estimate the frequencies and resistance rates of gram-positive pathogens isolated from hospitals in Makkah, Saudi Arabia. DESIGN AND

settingProspective study at three Makkah hospitals from May 2008 to April 2009. PATIENTS AND

methodsClinical isolates were collected and demographic and laboratory data were recorded. Standard microbiological methods were used to identify the organisms and test for antimicrobial susceptibility. The results were interpreted according to the Clinical Laboratory Standards Institute (CLSI) guidelines.

resultsClinical isolates were collected from 1087 patients. Gram-positive pathogens infected all age groups, but had no gender predominance. Staphylococcus aureus was the most common cause of wound infection and accounted for more than half of the clinical isolates (688 cases). Coagulase-negative staphylococcus (CONS) was a common isolate from blood cultures. Wounds were the most common site of infection (37.6%). Enterococcus spp. and Streptococcus agalactiae were the second most common bacteria (26%). The resistance rates of S aureus and CONS isolates were 39.4% and 82.4% for oxacillin, respectively. Among the streptococci, the resistance rates of Streptococcus pneumoniae were 21.1% and 16.7% for ampicillin and erythromycin, respectively.

conclusionsS aureus infections were found to be very common in the Makkah hospitals. Infection prevention, control measures and continuous monitoring for antibiotic susceptibility are necessary to reduce these and other nosocomial infections.

Indexed as

Drug Resistance, BacterialAdolescentAge FactorsAnti-Bacterial AgentsChildChild, PreschoolFemaleGram-Positive BacteriaGram-Positive Bacterial InfectionsHumansInfantMaleMicrobial Sensitivity TestsMiddle AgedProspective StudiesSaudi ArabiaAnti-Bacterial Agents

Identifiers

PMID21911982
PMCPMC3183679

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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.