Evidence map›Paper›PMID 32867758›Full record

Trial reportBMC medical education2020

Efficacy of smartphone-based Mobile learning versus lecture-based learning for instruction of Cephalometric landmark identification.

Amin Golshah, Fatemeh Dehdar, Mohammad Moslem Imani, Nafiseh Nikkerdar

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC medical education, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
–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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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.

Amin GolshahDepartment of Orthodontics, School of Dentistry, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Fatemeh DehdarFaculty of Dentistry, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Mohammad Moslem ImaniDepartment of Orthodontics, School of Dentistry, Kermanshah University of Medical Sciences, Kermanshah, Iran. mmoslem.imani@yahoo.com.ORCID http://orcid.org/0000-0002-3982-5216
Nafiseh NikkerdarDepartment of Oral and Maxillofacial Radiology, School of Dentistry, Kermanshah University of Medical Sciences, Kermanshah, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundConsidering the increasing popularity of electronic learning, particularly smartphone-based mobile learning, and its reportedly optimal efficacy for instruction of complicated topics, this study aimed to compare the efficacy of smartphone-based mobile learning versus lecture-based learning for instruction of cephalometric landmark identification.

methodsThis quasi-experimental interventional study evaluated 53 dental students (4th year) in two groups of intervention (n = 27; smartphone instruction using an application) and control (n = 26, traditional lecture-based instruction). Two weeks after the instructions, dental students were asked to identify four landmarks namely the posterior nasal spine (PNS), orbitale (Or), articulare (Ar) and gonion (Go) on lateral cephalograms. The mean coordinates of each landmark identified by orthodontists served as the reference point, and the mean distance from each identified point to the reference point was reported as the mean consistency while the standard deviation of this mean was reported as the precision of measurement. Data were analyzed using SPSS version 18 via independent sample t-test.

resultsNo significant difference was noted between the two groups in identification of PNS, Ar or Go (P > 0.05). However, the mean error rate in identification of Or was significantly lower in smartphone group compared with the traditional learning group (P = 0.020).

conclusionsSmartphone-based mobile learning had a comparable, and even slightly superior, efficacy to lecture-based learning for instruction of cephalometric landmark identification, and may be considered, at least as an adjunct, to enhance the instruction of complicated topics. TRIAL REGISTRATION NUMBER: This is not a human subject research. https://ethics. RESEARCH: ac.ir/ProposalCertificateEn.php?id=33714&Print=true&NoPrintHeader=true&NoPrintFooter=true&NoPrintPageBorder=true&LetterPrint=true .

Indexed as

LearningSmartphoneAdultCephalometryFemaleHumansMaleLateral cephalometryLecture-based instructionSmartphone instruction

Identifiers

PMID32867758
PMCPMC7457473

What OpenQuestion holds

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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.