Evidence map›Paper›PMID 40038561›Full record

ArticleBMC oral health2025

Development of software for collecting cleft-specific data in Malaysia.

Al Imran Shahrul, Nik Mukhriz Nik Mustapha, Mas Suryalis Ahmad, O P Kharbanda, Aida Nur Ashikin Abd Rahman

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

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

5 authors.

Al Imran ShahrulDepartment of Family Oral Health, Faculty of Dentistry, Universiti Kebangsaan Malaysia, Kuala Lumpur, 50300, Malaysia.
Nik Mukhriz Nik MustaphaCentre for Paediatric Dentistry and Orthodontic Studies, Faculty of Dentistry, Universiti Teknologi MARA Sungai Buloh Campus, Selangor Branch, Jalan Hospital, Sungai Buloh, 47000, Malaysia.
Mas Suryalis AhmadCentre for Comprehensive Care, Faculty of Dentistry, Universiti Teknologi MARA, Sungai Buloh Campus, Selangor Branch, Jalan Hospital, Sungai Buloh, 47000, Malaysia.
O P KharbandaRamaiah University of Applied Sciences (RUAS), University House, MSR Nagar, New BEL Road, Bengaluru, 560054, India.
Aida Nur Ashikin Abd RahmanCentre for Paediatric Dentistry and Orthodontic Studies, Faculty of Dentistry, Universiti Teknologi MARA Sungai Buloh Campus, Selangor Branch, Jalan Hospital, Sungai Buloh, 47000, Malaysia. aida_nurashikin@uitm.edu.my.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe World Health Organization (WHO) has recommended the development of a cleft-specific database for collecting and analyzing data on patients with cleft from birth to adulthood. However, such a database currently does not exist in Malaysia. The objective of this study was to develop a cleft lip and/or palate (CL/P) database software for Malaysia to streamline data collection and support comprehensive research to enhance outcomes of care.

methodsThe development of the database software involves several key stages, including determining the requirements, designing the software interface, implementing the system, conducting thorough testing, and completing comprehensive documentation. The database software was mainly developed internally within the research institution. The team involved in developing the clinical database includes cleft clinicians, software developers, software designers, members of the Cleft Lip and Palate Association Malaysia (CLAPAM), and experts in database development.

resultsAn online and offline database software has been developed to store information on patients with CL/P in Malaysia. It is designed to be user-friendly, accommodating multiple specialties and capable of storing photographs, radiology, and three-dimensional files. Various methods have been implemented to ensure data security. Additionally, documentation including video tutorials, consent forms, and hard copy versions has been developed to complement the database.

conclusionA specialized cleft-specific database software has been successfully developed for use in Malaysia to improve data management and support CL/P patient care.

Indexed as

Cleft LipCleft PalateDatabases, FactualData CollectionSoftwareHumansMalaysiaSoftware DesignUser-Computer InterfaceCleft databaseMalaysiaQuality of care

Identifiers

PMID40038561
PMCPMC11877776

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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.