Evidence map›Paper›PMID 37193472›Full record

ArticleCureus2023

A Three-Year Retrospective Study Assessing the Quality of the Course of Management of Infective Endocarditis in a Tertiary Hospital in Riyadh, Saudi Arabia.

Nejood Alsheikh, Ghadah B Alghbewi, Noof A Hakami, Soad Aljadaie, Fatmah Sohaibani, Mohammed Alsaif, Majid Alsalamah

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2023. 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
0.2field-weighted citation impact, top 45% 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, 1 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

7 authors at 1 institution in 1 country.

Nejood AlsheikhCollege of Medicine, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, SAU.
Ghadah B AlghbewiCollege of Medicine, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, SAU.
Noof A HakamiCollege of Medicine, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, SAU.
Soad AljadaieCollege of Medicine, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, SAU.
Fatmah SohaibaniCollege of Medicine, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, SAU.
Mohammed AlsaifEmergency Department, Ministry of the National Guard - Health Affairs, Riyadh, SAU.
Majid AlsalamahEmergency Department, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, SAU.
King Saud bin Abdulaziz University for Health Sciences · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInfective endocarditis (IE) is one of the most misdiagnosed diseases in Saudi Arabia because of the variable treatment regimen. This study aims to assess the quality of the management of infective endocarditis in a tertiary care teaching hospital.

methodsA single-center retrospective cohort study was conducted, based on electronic medical records extracted from the BestCare electronic medical record system, of all patients who presented with infective endocarditis as a final diagnosis from 2016 to 2019.

resultsOut of a total of 99 patients diagnosed with infective endocarditis, 75% of our patients had blood cultures ordered before initiating empirical antibiotic therapy. Positive blood cultures were reported in 60% of patients.

conclusionOverall management of infective endocarditis in the study hospital was appropriate and highly compliant with guidelines, with a few areas that could be improved further.

Indexed as

antibioticechocardiographyempirical antibiotic therapyendocarditisinfective endocarditis

Identifiers

PMID37193472
PMCPMC10182859
OpenAlexW4365457551

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.