Cited by 812Medical Education and AdmissionsDiversity and Career in MedicineInnovations in Medical Education

The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index; none of the 77 sources its claims cite is checked for support yet.

Factors associated with success in medical school: systematic review of the literature

Open access
Ferguson, Eamonn, James, David, Madeley, Laura·2002·BMJ

Abstract

Previous academic performance is a good, but not perfect, predictor of achievement in medical training It accounts for 23% of the variance in performance in undergraduate medical training and 6% of that in postgraduate competency Long term prospective cohort studies or case-control studies are needed to examine predictors of success after qualification, and reliable, valid, and fair models of medical job competence need to be developed Relatively little research has been done into the importance of learning styles, interviews, ethnicity, sex, personal statements, and references, but a strategic learning style, white ethnicity, and female sex are associated with success in medical training

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

Previous academic performance is a moderate predictor of undergraduate medical success and a small predictor of postgraduate competence; after correction it explains 23% and 6% of variance respectively. Strategic learning style, white ethnicity, and female sex are associated with success, while evidence on interviews, personality, personal statements, and references is limited or mixed.

Key findings

  • Previous academic performance had an uncorrected average effect size of 0.30 for undergraduate medical success and 0.14 for postgraduate competence. After correction for unreliability and range restriction, these rose to 0.48 and 0.24, accounting for 23% and 6% of variance respectively.
  • Strategic learning was consistently positively associated with final marks (uncorrected r 0.178 to 0.26), and “convergers” tended to perform better than other Kolb learning styles. Deep learning showed positive associations in some studies (0.157 to 0.262), while surface learning showed a negative association in one study (−0.204) but was not consistently replicated.
  • Women tended to perform better than men in medical training and clinical assessments, though some early assessment differences favoured men and were small. Ethnic minority students were more likely to fail a medical examination than white students, but non-UK ethnic minority students in the UK may perform better than white UK students; previous academic performance tended to overpredict for ethnic minorities and underpredict for white students.
  • Personality findings included conscientiousness as a positive predictor of preclinical achievement (standardised regression coefficient = 0.58) even after controlling for A level grades, extraversion predicting success in paediatric objective examinations (0.51), and state anxiety weakly negatively associated with performance (3% of variance), while trait anxiety was not significantly related. Interviews may add predictive information, but the academic reference had no predictive value and personal statements had too few data for conclusions.

Methods

  • Systematic review conducted June to August 2000, searching Medline OVID, Web of Science, and PsycLIT, plus hand-searching Medical Education, Journal of Medical Education, and Academic Medicine and reference lists. Inclusion required clear predictors and outcomes, acceptable statistical analysis, medicine-specific studies, and validated indices for non-academic predictors.
  • Meta-analysis used hierarchical linear modelling with correlation coefficients as level 1 variables and sample sizes as level 2 variables; correlations were Fisher r-to-Z transformed, and effect sizes were corrected for unreliability and range restriction. Cohen’s calibration was used for interpretation.
  • The review identified 62 papers on previous academic performance, 31 on personality, 16 on sex, 14 on ethnicity, 11 on motivation or study habits, 16 on interviews, 2 on personal statements, and 1 on references. The undergraduate meta-analysis included 753 usable correlation coefficients from 21,905 participants; the postgraduate meta-analysis included 32 coefficients from 2,487 participants across 5 studies.

Limitations

  • Stated: few comparative analyses exist; more research is needed on learning styles, interviews, personal statements, and references; long-term prospective cohort or case-control studies are needed for predictors of success after qualification; reliable, valid, and fair models of medical job competence are needed; the “criterion problem” complicates assessing postgraduate clinical performance; personality measures were too varied for meta-analysis; insufficient data prevented meta-analysis for ethnicity, sex, learning styles, and personal statements; interview studies had small cohorts (23–113), selection biases, and limited outcome measures.
  • Stated: no studies examined whether differential experiences of medical training contribute to ethnic differences in performance.
  • Evident from the text: the search was limited to three databases and three journals plus reference checking, no assessment of publication bias is mentioned, and the meta-analysis combined diverse academic indicators despite wide variability in effect sizes that was not explained by sample size.

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Integrity signals

Registry

Crossref · 10.1136/bmj.324.7343.952

Cites

35 of 35 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

62 Not checked yet · 17 No basis given · 9 Own result · 7 Own interpretation · 2 Own method

Verify all 77 references — free account

Show all 54 claims

  • The quote only partly states this claim. 4
  • It may state two separate claims as one. 23
  • Probably not a substantial claim. 21
43 of 43
  • The paper relies on this without support.

    Students entering medical school are likely to be at the top end of the potential range of scores for previous academic performance and are also likely to do well in their medical school training.

    “In addition, students entering medical school are likely to be at the top end of the potential range of scores for previous academic performance and are also likely to do well in their medical school training.”
  • The paper relies on this without support.

    Previous academic ability, personal statements, references, and interviews are traditionally used in selection, while personality and learning styles are not traditionally used.

    “Previous academic ability, personal statements, references, and interviews are all traditionally used in selection, but how good are they at predicting future performance?Personality and learning styles are not traditionally used, but should they be?”
  • The paper relies on this without support.

    Learning across the medical degree (and postgraduate learning) occurs over time.

    “Furthermore, learning across the medical degree (and indeed postgraduate learning) occurs over time, and time series analyses and models that allow for prediction of change over time would also be a useful approach.”
  • The paper relies on this without support.

    The personal statement forms an important part of the current selection process in the United Kingdom.

    “This is an important area for future research, as the personal statement forms an important part of the current selection process in the United Kingdom.”
4 of 4

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1 of 1

Citations

Cites

Show all 35 references

Research works printed but not linked: 1

  1. Prat, 1993, Predicting the first-year performance of international medical graduates in an internal medicine residency., Acad Med, 11, 856

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Metadata

Authors
Ferguson, E., James, D., & Madeley, L.
Affiliations
University of Nottingham (GB)
Corresponding author
Ferguson, Eamonn
Venue
BMJ
Publisher
BMJ
Published
2002-04-20
Volume
324
Issue
7343
Pages
952-957
ISSN
  • 0007-1447 (ISSN-L)
  • 0959-8138
  • 1468-5833
OpenAlex
W2085677016
Cited by
811
References
35
Citations by year
2026: 18 · 2025: 13 · 2024: 21 · 2023: 25 · 2022: 37 · 2021: 37 · 2020: 42 · 2019: 41 · 2018: 53 · 2017: 37 · 2016: 56 · 2015: 55 · 2014: 53 · 2013: 48 · 2012: 55
FWCI
2.74
Type
journal article
Language
en
Open access
Locations
  • BMJ (publishedVersion)
  • PubMed Central (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed (publishedVersion)
  • DigitalGeorgetown (Georgetown University Library) (submittedVersion)
Topics
  • Social Sciences › Education › Medical Education and Admissions
  • Social Sciences › Gender Studies › Diversity and Career in Medicine
  • Social Sciences › Education › Innovations in Medical Education
Keywords
predictors of academic performance, undergraduate medical education, graduate medical education, prior academic achievement, learning styles, job interviews, ethnicity, sex differences, personal statements, reference
MeSH terms
Clinical Competence, Education, Medical, Educational Status, Ethnicity, Humans, Interviews as Topic, Learning, Personality Tests, School Admission Criteria, Sex Factors, Linear Models

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