Evidence map›Paper›PMID 40621536›Full record

ArticlePakistan journal of medical sciences2025

Exploring medical professionalism in undergraduate medical students - A Cross sectional Study.

Noor Alamgir, Muhammad Alamgir Khan, Syed Fawad Mashhadi, Syeda Alishba Zahra Naqvi

Abstract read
In one paragraph

Article in Pakistan journal of medical sciences, 2025. 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
–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

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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

1 citing paper in PubMed.

  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

4 authors.

Noor AlamgirNoor Alamgir, Student of 3rd year MBBS Foundation University Medical College, Islamabad, Pakistan.
Muhammad Alamgir KhanMuhammad Alamgir Khan, FCPS Professor of Physiology, Army Medical College, Rawalpindi, Pakistan.
Syed Fawad MashhadiSyed Fawad Mashhadi, PhD Professor and Head, Department of Community Medicine, Army Medical College, Rawalpindi, Pakistan.
Syeda Alishba Zahra NaqviSyeda Alishba Zahra Naqvi, Student of 4th year MBBS, Foundation University Medical College, Islamabad, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Professionalism in medical schools fosters ethical practice, patient trust, and excellence in healthcare. This study aimed to determine the attitudes of medical students towards professionalism based on gender, year of training, and disciplinary actions at Army Medical College, Rawalpindi, Pakistan. Methods: The present cross-sectional analytic study was conducted at Army Medical College, Rawalpindi, from July to September 2024. The attitude of 682 students from 1 Results: There were 425 (62.32%) males and 257 (37.68%) females with a mean age of 21.31 ± 1.68 years. Out of 682, disciplinary actions were taken against 241 (35.34%) students. Again, out of 682 students, 479 (70.23%) showed unprofessional attitude. Three hundred twenty-three (76%) males and 156 (61%) females showed an unprofessional attitude (p-value <0.001, odds ratio 2.05). Professionalism score was higher in females (median 3.93) as compared to males (median 3.68) at p-value <0.001. One hundred eighty-four (76%) recipients and 295 (67%) non-recipients of disciplinary actions showed unprofessional attitude (p-value 0.01, odds ratio 1.60). Professionalism score for students who underwent disciplinary actions was lower (median 3.68) than those who had no disciplinary actions (median 3.86) at p-value <0.001. Professionalism was negatively correlated with disciplinary actions (p-value < 0.001, r-value -0.18) and years of training (p-value 0.006, r-value -0.11). Conclusion: The attitude towards professionalism was poorer in the male gender, higher years of training and in students who underwent disciplinary actions.

Indexed as

AttitudeDisciplinary actionsEthicsMedical SchoolsProfessionalism

Identifiers

PMID40621536
PMCPMC12223745

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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.