Evidence map›Paper›PMID 40952873›Full record

ArticleThe Saudi dental journal2024

Applying the NHS restorative dentistry index of treatment need to clinical decision-making in Saudi Arabia.

Raghad A Al-Dabbagh, Abdulelah J Alrasheedy, Mohammed K Jawi, Afaf A Almabadi, Osama M Felemban

Abstract read
In one paragraph

Article in The Saudi dental journal, 2024. 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

5 authors.

Raghad A Al-DabbaghOral and Maxillofacial Prosthodontics Department, King Abdulaziz University Faculty of Dentistry, Jeddah, KSA.
Abdulelah J AlrasheedyKing Fahad Armed Forces Hospital, Jeddah, KSA.
Mohammed K JawiRama Medical Group, Jeddah, KSA.
Afaf A AlmabadiOral and Maxillofacial Prosthodontics Department, King Abdulaziz University Faculty of Dentistry, Jeddah, KSA.
Osama M FelembanPediatric Dentistry Department, King Abdulaziz University Faculty of Dentistry, Jeddah, KSA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Making appropriate referrals for patients with complex restorative needs can be challenging. The NHS Restorative Dentistry Index of Treatment Need (IOTN) is an important guideline and tool that helps to ensure that patients receive the appropriate level of restorative dental care for their needs. The objective of this study was to test, via structured training, the usability and utility of the IOTN as a screening tool for referral and management of patients attending [King Abdulaziz University Faculty of Dentistry (KAUFD)], Saudi Arabia. Methods: In this prospective, interventional study, one hundred and fourteen participants (38 sixth-year dental students, 44 interns, and 32 general dentists) were equally and randomly assigned to either receive training on the IOTN or no training. Then, participants were provided with clinical and radiographic records for six cases and asked to make management and referral decisions recorded on a questionnaire. Results: The group receiving training on the IOTN more accurately classified cases into different levels of complexity and specialty and more frequently made correct management and referral decisions for complexity levels 2 and 3 cases than the untrained group. There was no difference between the trained and untrained groups for complexity level 1 cases. Conclusion: Training general dentists to use the NHS IOTN improved referral and management decision skills.

Indexed as

Decision-makingNHS restorative dentistry index of treatment needSaudi Arabia

Identifiers

PMID40952873
PMCPMC11976081

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.