Evidence map›Paper›PMID 40677459›Full record

ReviewCureus2025

A Review of Factors Influencing the National Board of Medical Examiners Clinical Subject Examination (NBME) Neurology Subject Scores.

Mariam Khalil, Samuel Salib, Meghana Renavikar, Austin Lee, Anand Dhaliwal, Vijay Khatri

Abstract readReview
In one paragraph

Review in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Mariam KhalilNeurology, California Northstate University College of Medicine, Elk Grove, USA.
Samuel SalibOtolaryngology - Head and Neck Surgery, California Northstate University College of Medicine, Elk Grove, USA.
Meghana RenavikarNeurology, California Northstate University College of Medicine, Elk Grove, USA.
Austin LeeNeurology, California Northstate University College of Medicine, Elk Grove, USA.
Anand DhaliwalSurgery, California Northstate University College of Medicine, Elk Grove, USA.
Vijay KhatriSurgical Oncology, California Northstate University College of Medicine, Elk Grove, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The National Board of Medical Examiners Clinical Subject Examination (NBME) Neurology subject exam scores of third- and fourth-year medical students are a critical objective component of their application for a neurology residency. Multiple factors, including scheduling, preclinical preparation, and educational methods, may influence a student's performance on the Neurology NBME Clinical Science Exam (Shelf exam) during their clerkship. This review was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to identify factors that impact medical students' performance on the NBME Neurology subject exam during their clerkship. This review synthesizes existing research to identify evidence-based strategies that optimize student performance on the Neurology Shelf exams. Understanding the factors influencing NBME scores is essential for medical students and clerkship directors to enhance educational outcomes and residency preparedness. The findings of this systematic review highlight the importance of scheduling, preclinical factors, and variations in educational methods in determining students' performance on the Neurology Shelf exam.

Indexed as

medical studentmedical student clerkshipnbme shelfnbme subject examneurology

Identifiers

PMID40677459
PMCPMC12267088

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.