Evidence map›Paper›PMID 38550334›Full record

ArticleSaudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society2024

Factors associated with applicant performance on the Saudi Pharmacist Licensure Examination (SPLE).

Wael A Alghamdi, Tahani M Almeleebia, Mona A Almanasef, Khalid M Orayj

Open access · hybridAbstract read
In one paragraph

Article in Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society, 2024. 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
1.0field-weighted citation impact, top 27% of its field
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, 3 citations in OpenAlex.

  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 at 1 institution in 1 country.

Wael A AlghamdiDepartment of Clinical Pharmacy, College of Pharmacy, King Khalid University, Abha, Saudi Arabia.
Tahani M AlmeleebiaDepartment of Clinical Pharmacy, College of Pharmacy, King Khalid University, Abha, Saudi Arabia.
Mona A AlmanasefDepartment of Clinical Pharmacy, College of Pharmacy, King Khalid University, Abha, Saudi Arabia.
Khalid M OrayjDepartment of Clinical Pharmacy, College of Pharmacy, King Khalid University, Abha, Saudi Arabia.
King Khalid University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Limited data are available on factors that are associated with passing rates for the Saudi Pharmacist Licensure Examination (SPLE). The aim of this study is to investigate student characteristics and academic performance characteristics that may predict their success on SPLE. Methods: This was a single-institution retrospective cohort study, which included pharmacy graduates from 2019 to 2021. Demographic, academic, and SPLE data were collected for each graduate. Binary logistic regression was used to explore the association between potential predictors and first-time SPLE pass status. A stepwise regression was then performed to develop multiple logistic models. Results: A total of 494 graduates were included in the study. Females, PharmD graduates, and on-time graduation had higher odds of passing SPLE ( Conclusion: The current research has shown that there is an association between higher SPLE first-time pass rates and several factors, most importantly the GPA and GAT score. Further research is needed, as it has the potential to inform the decision when reviewing pharmacy admission criteria.

Indexed as

Pass ratePharmacy educationPharmacy licensureSPLE

Identifiers

PMID38550334
PMCPMC10975501
OpenAlexW4392973812

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.