Evidence map›Paper›PMID 32821988›Full record

ArticleJournal of cancer education : the official journal of the American Association for Cancer Education2022

Effectiveness of "OralDETECT": a Repetitive Test-enhanced, Corrective Feedback Method Competency Assessment Tool for Early Detection of Oral Cancer.

Rosnah Binti Zain, Deepak Gowda Sadashivappa Pateel, Anand Ramanathan, Thomas George Kallarakkal, Gou Rean Wong, Yi Hsin Yang, Zuraiza Mohamad Zaini, Norliwati Ibrahim, Shivani Kohli, Callum Durward

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Article in Journal of cancer education : the official journal of the American Association for Cancer Education, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

10 authors.

Rosnah Binti ZainFaculty of Dentistry, MAHSA University, Humanity Block, 42610, Bandar Saujana Putra, Selangor, Malaysia. rosnahbz12@gmail.com.ORCID 0000-0003-4963-8032
Deepak Gowda Sadashivappa PateelFaculty of Dentistry, MAHSA University, Humanity Block, 42610, Bandar Saujana Putra, Selangor, Malaysia.
Anand RamanathanOral Cancer Research and Coordinating Centre, Faculty of Dentistry, University of Malaya, Kuala Lumpur, Malaysia.
Thomas George KallarakkalOral Cancer Research and Coordinating Centre, Faculty of Dentistry, University of Malaya, Kuala Lumpur, Malaysia.
Gou Rean WongFaculty of Dentistry, MAHSA University, Humanity Block, 42610, Bandar Saujana Putra, Selangor, Malaysia.
Yi Hsin YangSchool of Pharmacy, Kaohsiung Medical University, Kaohsiung, Taiwan.
Zuraiza Mohamad ZainiOral Cancer Research and Coordinating Centre, Faculty of Dentistry, University of Malaya, Kuala Lumpur, Malaysia.
Norliwati IbrahimFaculty of Dentistry, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia.
Shivani KohliFaculty of Dentistry, MAHSA University, Humanity Block, 42610, Bandar Saujana Putra, Selangor, Malaysia.
Callum DurwardFaculty of Dentistry, University of Puthishastra, Phnom Penh, Cambodia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early diagnosis of oral cancer results in less aggressive treatment and improves the quality of life and overall 5-year survival rate. Well-trained dental professionals can play a crucial role in the early detection of oral cancers. The present study aims to determine the effectiveness of the training program "OralDETECT", a spaced repetitive, test-enhanced learning tool with a corrective feedback mechanism for early detection of oral cancer. Thirty-two dentists and 259 dental students from three Malaysian dental schools were involved in this study. All participants were trained and calibrated to recognize oral potentially malignant disorders (OPMD) and oral cancer using "OralDETECT", which is comprised of a series of pre-test, lecture, post-tests and review sessions. The percentage of correct answers (scores) for each test given by the participants was calculated and analysed using a paired t test. It was found that the overall percentage of diagnostic accuracy for both dental professionals and student groups increased to above 80% from the pre-tests to the final post-tests. There was a significant improvement in overall scores between the pre-tests and all three post-tests for the dental professional groups and the student groups. The diagnostic accuracy for individual OPMD and lesions suspicious of oral cancer also increased to above 80% for both groups. The results of our study demonstrate that the "OralDETECT" is an efficient and effective competency tool which can be used to train dental professionals and students for the early detection of OPMD and oral cancer.

Indexed as

Mouth DiseasesMouth NeoplasmsEarly Detection of CancerFeedbackHumansQuality of LifeClinical competenceCorrective feedbackOral cancerOral potentially malignant disorders (OPMD)Spaced repetitive learningTest-enhanced learning

Identifiers

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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.