Evidence map›Paper›PMID 36277861›Full record

ArticleJournal of infection prevention2022

Incidence and risk factors of surgical site infections after coronary artery bypass grafting surgery in Oman.

Fatma M AlRiyami, Omar M Al-Rawajfah, Sulaiman Al Sabei, Hilal A Al Sabti

Open access · greenAbstract read
In one paragraph

Article in Journal of infection prevention, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

4 citing papers in PubMed, 4 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 3 institutions in 2 countries.

Fatma M AlRiyamiCardiothoracic Unit, Sultan Qaboos University Hospital, Muscat, Oman.ORCID https://orcid.org/0000-0001-9293-5716
Omar M Al-RawajfahCollege of Nursing, Adult and Critical Care Department, Sultan Qaboos University, Muscat, Oman.ORCID https://orcid.org/0000-0002-2427-8969
Sulaiman Al SabeiCollege of Nursing, Department of Fundamental and Nursing Administration, Sultan Qaboos University, Muscat, Oman.ORCID https://orcid.org/0000-0002-3436-8757
Hilal A Al SabtiSultan Qaboos University Hospital, Muscat, Oman.ORCID https://orcid.org/0000-0001-6270-9013
Sultan Qaboos University Hospital · OMAl al-Bayt University · JOSultan Qaboos University · OM

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: There is limited information about the incidence and risk factors of surgical site infections (SSIs) after coronary artery bypass (CABG) surgeries in the Omani population. Aim: To estimate the prevalence and describe possible risk factors of SSIs after CABG surgeries in Oman. Method: A retrospective nested case-control design was used to screen 596 patients who underwent CABG surgeries over 2 years (2016-2017) in two tertiary hospitals in Oman. The CDC definition for SSIs was used to identify the infected cases. Results: Prevalence rate of SSIs was 17.4% and 17.5% in 2016 and 2017, respectively. The most isolated microorganism was Gram-positive bacteria (45.2%). Risk factors of SSIs include female gender (OR = 3.2, Conclusion: The infection rate of SSIs after CABG surgeries in developing countries, such as Oman, is considerably high. There is an urgent need to establish SSIs preventive program at the national level. Frequent and systematic assessment of infection control practices before and after CABG surgeries is fundamental and priority strategy to prevent SSIs.

Indexed as

infection controlinfection preventionSurgical site infectionsurveillance

Identifiers

PMID36277861
PMCPMC9583440
OpenAlexW4297379560

What OpenQuestion holds

Textmetadata
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.