Evidence map›Paper›PMID 39934820›Full record

ArticleBMC medical education2025

Application to achievement: association between pre-admission factors, admission scores, and medical students' performance.

Asma Altaf Hussain Merchant, Noreen Afzal, Komal Abdul Rahim, Shayan Ali Shah, Wafa Zehra Jamal, Anum Rahim, Saqib Kamran Bakhshi, Namra Qadeer Shaikh, Ali Aahil Noorali, Saad Bin Zafar Mahmood and 4 more

Abstract read
In one paragraph

Article in BMC medical education, 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

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. 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

14 authors.

Asma Altaf Hussain MerchantDean's Office, Medical College, Aga Khan University, Karachi, Pakistan.
Noreen AfzalDean's Office, Medical College, Aga Khan University, Karachi, Pakistan.
Komal Abdul RahimDean's Office, Medical College, Aga Khan University, Karachi, Pakistan.
Shayan Ali ShahDean's Office, Medical College, Aga Khan University, Karachi, Pakistan.
Wafa Zehra JamalDepartment of Community Health Sciences, Aga Khan University, Karachi, Pakistan.
Anum RahimDepartment of Community Health Sciences, Aga Khan University, Karachi, Pakistan.
Saqib Kamran BakhshiDean's Office, Medical College, Aga Khan University, Karachi, Pakistan.
Namra Qadeer ShaikhDean's Office, Medical College, Aga Khan University, Karachi, Pakistan.
Ali Aahil NooraliDepartment of Medicine, Aga Khan University, Karachi, Pakistan.
Saad Bin Zafar MahmoodDepartment of Medicine, Aga Khan University, Karachi, Pakistan.
Laila AkbaraliRegistrar's Office, Aga Khan University, Karachi, Pakistan.
Muhammad TariqDean's Office, Medical College, Aga Khan University, Karachi, Pakistan.
Sadaf KhanDepartment of Surgery, Aga Khan University, Karachi, Pakistan.
Adil H HaiderDean's Office, Medical College, Aga Khan University, Karachi, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStudents have long been admitted into medical colleges using standardized tests/interviews. However, limited evidence exists on their association with academic achievement during medical education. Moreover, the relationship between its individual components and subsequent academic achievement remains unexplored. This study aims to determine the association between medical students' demographics and admission scores with their academic performance during medical college.

methodsThis cross-sectional study was conducted in 2023 at one of the oldest private medical colleges in a South Asian low- and middle-income country, where data for medical students graduating with a Bachelor of Medicine, Bachelor of Surgery (MBBS) degree in 2018-2022 were retrieved electronically. Through an extreme groups approach (EGA) sampling, factors leading to students falling within the top 20% scorers in preclinical, clinical, procedural, and non-procedural clerkships were identified. Binary logistic regression models assessed the association between demographics and admission scores with their academic performance in medical college.

resultsFrom data of 418 students, EGA sampling included a total of 168 and 169 students for comparison between the top and bottom 20% scorers in preclinical and clinical rotations, respectively. Female sex (adjusted OR:4.10, 95% CI:1.94,8.65) and higher biology, physics, and mathematical reasoning scores on the university's admission test independently predicted preclinical academic achievement. Female sex and higher mathematical reasoning scores significantly predicted academic achievement in clinical, procedural, and non-procedural clerkships. Higher biology scores also independently predicted achievement in non-procedural clerkships (adjusted OR:1.03, CI:1.01,1.06). Prior schooling from the British education system was significantly associated with higher mean percentage for admission scores and clinical clerkships for applicants compared to the local education system.

conclusionHigher scores on medical college admission tests can predict medical students' academic achievement during undergraduate studies. Understanding the specific test components associated with students' success can refine the selection process, ultimately fostering efficient healthcare professionals.

Indexed as

Academic PerformanceAcademic SuccessCollege Admission TestEducation, Medical, UndergraduateSchool Admission CriteriaStudents, MedicalAdultCross-Sectional StudiesEducational MeasurementFemaleHumansMaleSchools, MedicalYoung AdultAcademic successCollege admission testsUndergraduate medical education

Identifiers

PMID39934820
PMCPMC11817614

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LicenceCC BY-NC-ND
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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.