Evidence map›Paper›PMID 23210003›Full record

ArticleAvicenna journal of medicine2011

Antibiotic utilization pattern in a general medical ward of a tertiary medical center in Saudi Arabia.

A Al Shimemeri, H Al Ghadeer, Z Memish

Open access · diamondAbstract read
In one paragraph

Article in Avicenna journal of medicine, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

9 citing papers in PubMed, 26 citations in OpenAlex.

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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.

A Al ShimemeriIntensive Care Department, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia.
H Al Ghadeer
Z Memish
King Saud bin Abdulaziz University for Health Sciences · SAMinistry of Health · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To assess the pattern of antibiotic utilization and outcome of patients with bacteremia in a General Medical Ward, all positive blood cultures (BC) over a 12-month period from January 1994 to December 1995 were retrospectively reviewed. Fifty-two positive BC were recorded in 43 patients (63% males, 37% females; mean age 65.9 ± 16.6). 72% of the patients received antibiotics before or soon after obtaining the BC, and ceftriaxone was the most frequently-prescribed antibiotic (41.93%), either alone or in combination with other antibiotics. The bacteremia was due to gram-positive cocci in 60.46% of cases, gram-negative rods in 30.23%, and gram-positive rods in 9.30%. Positive BC due to contamination were not included. The most common gram-positive cocci were Staphylococcus epidermidis, followed by S. aureus, while the most common gram-negative bacilli were Brucella species, Proteus mirabilis, and Klebsiella sp. The suspected sources of the bacteremia were respiratory (21.2%), urinary (19.2%), or skin (19.2%). A subsequent change in the antibiotics regimen was done in 69.76% cases after BC results became available with no apparent effect on the outcome. Adding vancomycin and clindamycin was the most frequent change done (19.4% for each equally). Complications developed in 69.76% of patients, with 88.66% of them suffering from sepsis/shock. 69.23% of the patients improved and 30.77% expired; death was related to infection in 87.5% of cases. In conclusion, most bacteremia in the medical ward of the hospital were due to gram-positive cocci, which should be considered in antibiotic selection prior to BC. Risk factors for acquiring Brucellosis should always be obtained.

Indexed as

AntibioticmedicalRiyadhSaudi Arabiautilization

Identifiers

PMID23210003
PMCPMC3507056
OpenAlexW1993252172

What OpenQuestion holds

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LicenceCC BY-NC-SA
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.