Evidence map›Paper›PMID 34244646›Full record

ReviewBritish dental journal2021

Systemic medicines taken by adult special care dental patients and implications for the management of their care.

Nicholas Ransford, Ben Marnell, Christine Randall, Clare Yates, Gillian Howie

Abstract readReview
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In one paragraph

Review in British dental journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Nicholas RansfordConsultant in Special Care Dentistry, Birmingham Dental Hospital, 5 Mill Pool Way, Pebble Mill, Birmingham, B5 7SW, UK. nicholas.ransford@nhs.net.
Ben MarnellDental Core Trainee, Birmingham Dental Hospital, 5 Mill Pool Way, Pebble Mill, Birmingham, B5 7SW, UK.
Christine RandallAssistant Director and Lead Pharmacist for Dental Medicines Information and Pharmacovigilance, North West Medicines Information Centre, 70 Pembroke Place, Liverpool, L69 3GF, UK.
Clare YatesSpecialist in Special Care Dentistry, Birmingham Dental Hospital, 5 Mill Pool Way, Pebble Mill, Birmingham, B5 7SW, UK.
Gillian HowieSpeciality Trainee in Special Care Dentistry, Birmingham Dental Hospital, 5 Mill Pool Way, Pebble Mill, Birmingham, B5 7SW, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction Significant changes have taken place in the profile of prescription medicines being taken by the adult UK population over the last decade. The aims of this article are to review the literature to understand the overall trends and underlying factors, and then to compare this with the medication profile of a cohort of adult special care dental (SCD) patients. Materials and method Five hundred patient records were examined and retrospective data on systemic medicines being taken were obtained and classified according to the index used in the British National Formulary (BNF).Results The results revealed a high level of polypharmacy with 57% of SCD patients taking three or more medicines compared to 24% of the population in England. Antiepileptic drugs were the most frequently taken group of medicines (42%), followed by antidepressants (39.7%) and antipsychotics (37.6%). Conclusions Our results demonstrate the medical complexity of patients in this cohort and enable clinicians to increase their familiarity with the most commonly taken medicines and the tools available to manage the implications for dental care.

Indexed as

Antidepressive AgentsPrescription DrugsAdultEnglandHumansPolypharmacyRetrospective StudiesAntidepressive AgentsPrescription Drugs

Identifiers

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.