Evidence map›Paper›PMID 28883553›Full record

ArticleBritish dental journal2017

The use and understanding of dental notation systems in UK and Irish dental hospitals.

M N Pemberton, M Ashley

Abstract read
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Article in British dental journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

2 authors.

M N PembertonConsultant in Oral Medicine and Honorary Clinical Professor, Division of Dentistry, Faculty of Biology, Medicine and Health, University of Manchester and University Dental Hospital of Manchester, Central Manchester NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, M15 6FH.
M AshleyConsultant in Restorative Dentistry and Honorary Senior Lecturer, Division of Dentistry, Faculty of Biology, Medicine and Health, University of Manchester and University Dental Hospital of Manchester, Central Manchester NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, M15 6FH.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim To identify the types of dental notation systems used in dental hospitals, and their perceived advantages and disadvantages. In addition, to record the dental notation used in patient referral letters.Method A self-completed questionnaire survey asking about the use of dental notation systems was distributed to 16 dental hospitals in the UK and Ireland in the summer of 2016. In addition, dentist referrals to the Restorative Dentistry department of the University Dental Hospital of Manchester were sequentially assessed for the dental notation used.Results Twelve hospitals replied. In order of frequency, the notation systems in use were the Alphanumeric, the Palmer, and the Federation Dentaire Internationale system. No hospital used the Universal system. Perceived advantages and disadvantages of each of the different systems were volunteered. One hundred and twenty-four referral letters were assessed and 100 were identified where dental notation was used. The majority used Alphanumeric notation.Conclusion A variety of dental notation systems remain in use in dental hospitals. The move to electronic recording and communication of information regarding teeth is encouraging the use of the Alphanumeric system. General dental practitioners are predominantly using the Alphanumeric system as their notation of choice in referral letters to the Restorative Dentistry department in Manchester.

Indexed as

Dental RecordsHospital Information SystemsCommunicationHospitalsHumansIrelandReferral and ConsultationUnited Kingdom

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.