Evidence map›Paper›PMID 37645664›Full record

ArticleCureus2023

Studying the Association Between Knowledge of Professionalism and Demographic Characteristics in King Saud University Medical Students.

Nasser S Alharbi, Abdullah M Alassaf, Abdullah R AlZamil, Bader M Alqarni, Faisal A Alzahrani, Faisal B Alsaif

Abstract 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

3 citing papers in PubMed.

  1. Article
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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

6 authors.

Nasser S AlharbiPediatrics, King Saud University, Riyadh, SAU.
Abdullah M AlassafMedicine, King Saud University, Riyadh, SAU.
Abdullah R AlZamilMedicine, King Saud University, Riyadh, SAU.
Bader M AlqarniMedicine, King Saud University, Riyadh, SAU.
Faisal A AlzahraniMedicine, King Saud University, Riyadh, SAU.
Faisal B AlsaifMedicine, King Saud University, Riyadh, SAU.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives To study the association between the level of knowledge regarding professionalism and demographic characteristics among medical students from years three to five at King Saud University, Riyadh, Saudi Arabia. Methods Data for this quantitative observational cross-sectional study were collected using stratified random sampling. The participants included male and female students from years three to five studying at the College of Medicine, King Saud University. Data were collected using a self-administered questionnaire and analyzed using the Student's t-test and a one-way ANOVA test. Results The study comprised 112 female (52%) and 103 male (48%) students who completed 215 questionnaires. The mean percentage values of correct answers by females and males were 59.99% and 59.31%, respectively. Statistical analysis revealed no significant difference between the mean percentage of correct answers given by males and females (p=0.684). The mean percentage of correct answers among the 3rd, 4th, and 5th-year medical students was 59.27%, 56.56%, and 62.72%, respectively. Statistical analysis revealed significant differences between the academic year groups (p<0.05), and the grade point average (GPA) groups showed significant differences (p<0.05). Conclusion A highly significant association was found between knowledge of professionalism and both academic level and performance among medical students. This suggests that professional perception evolves parallel to acquiring basic science and clinical knowledge.

Indexed as

agegenderknowledgemedical studentsprofessionalism

Identifiers

PMID37645664
PMCPMC10461411

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.