Evidence map›Paper›PMID 23135836›Full record

ArticleInternational journal of clinical pharmacy2013

An audit of prophylactic surgical antibiotic use in a Sudanese Teaching Hospital.

Abubaker Ibrahim Elbur, Mirghani Abd El Rahman Yousif, Ahmed Sayed Ahmed Elsayed, Manar Elsheikh Abdel-Rahman

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Article in International journal of clinical pharmacy, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
0.6field-weighted citation impact, top 28% 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

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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

18 citing papers in PubMed, 35 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

4 authors at 2 institutions in 2 countries.

Abubaker Ibrahim ElburDepartment of Clinical Pharmacy, College of Pharmacy, Taif University, P.O. Box: 888, 21974, Al-Haweiah, Taif, Kingdom of Saudi Arabia. bakarelbu@yahoo.co.uk
Mirghani Abd El Rahman Yousif
Ahmed Sayed Ahmed Elsayed
Manar Elsheikh Abdel-Rahman
Taif University · SAUniversity of Khartoum · SD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAntibiotic prophylaxis is effective at reducing the risk of postoperative infection for nearly all types of surgery. Objective To audit the use of prophylactic antibiotics for elective surgery.

settingKhartoum Teaching Hospital, Sudan, a 1,000 bed tertiary level hospital.

methodA prospective study was conducted over a 9 month period; patients admitted for elective surgery were included consecutively.

main outcome measureThe use and administration of prophylactic antibiotics for elective surgery.

resultsA total of 1,768 patients with mean age 37.8 ± 14 years were recruited (females, 83.3 % of total) who underwent 1,814 surgical interventions. Of these 1,277 (70.4 %) of procedures were clean-contaminated. A total of 1,758 patients (99.4 % of total) received antibiotics for prophylaxis; 1,730 patients (97.9 %) were given antibiotics in the operating room; for 1,288 (74.5 %) of cases the antibiotics were considered 'recommended', while for 442 (25.5 %) they were not. Out of the patients for whom prophylaxis was recommended and was given, 725 (56.3 %) of patients received a broad spectrum antibiotic or unnecessary combination, 913 (70.9 %) received a sub-therapeutic dose, 120 (9.3 %) were given the first preoperative dose within the proper time window, and 1,250 (97 %) of patients had an extended duration of prophylaxis. Compliance with all stated criteria was achieved in only 47 (2.7 %) of observed prescriptions.

conclusionThis audit showed a wide gap between international standards and local practices; the authors call for urgent action to correct this situation through the development and implementation of local clinical guidelines.

Indexed as

Antibiotic ProphylaxisMedical AuditAdultAgedFemaleHospitals, TeachingHumansMaleMiddle AgedProspective StudiesSudan

Identifiers

PMID23135836
OpenAlexW2043717654

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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.