Evidence map›Paper›PMID 24603244›Full record

ArticleBritish dental journal2014

Identifying adults at risk of paracetamol toxicity in the acute dental setting: development of a clinical algorithm.

N V Nayyer, J Byers, C Marney

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Article in British dental journal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.4field-weighted citation impact, top 12% of its field
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

7 citing papers in PubMed, 14 citations in OpenAlex.

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  7. Pharmacology: inflammatory definitions.British dental journal · 2014
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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

3 authors at 1 institution in 1 country.

N V NayyerDepartment of Oral Surgery, Dundee Dental Hospital, 2 Park Place, Dundee, DD1 4HN.
J ByersDepartment of Oral Surgery and Oral Medicine, Glasgow Dental Hospital, 378 Sauchiehall Street, Glasgow, G2 3JZ, Scotland.
C MarneyDepartment of Oral Surgery and Oral Medicine, Glasgow Dental Hospital, 378 Sauchiehall Street, Glasgow, G2 3JZ, Scotland.
Dundee Dental Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Paracetamol is widely used and effective for the management of dental pain in the UK. Acute dental pain is a recognised precipitant of unintentional paracetamol overdose and in a small but significant number of cases this results in hepatotoxicity. Patients' understanding of the risks of excess paracetamol ingestion remains poor and risk of over-medication before presentation is increased due to a variety of factors including dental anxiety and fragmented provision of dental emergency services. Early recognition of overdose is crucial to preventing significant hepatotoxicity and death. Dentists have a role to play in recognising unintentional overdose cases and directing patients timeously to appropriate medical care. Guidelines on the treatment of paracetamol toxicity are readily available but our data suggests some dental settings may present a weak link in the care pathway and overdose may not be readily recognised. We have developed an algorithm and training package targeted at dentists in the acute dental setting with the aim of improving recognition of paracetamol toxicity in adults and directing onward referral appropriately. This paper also revises the key pharmacokinetics and pharmacodynamics of paracetamol and is intended to raise awareness of issues of toxicity for dentists.

Indexed as

AcetaminophenAdultAlgorithmsAnalgesics, Non-NarcoticDental CareDrug OverdoseHealth Knowledge, Attitudes, PracticeHumansPainPain ManagementPatient Education as TopicRisk FactorsSurveys and QuestionnairesAcetaminophenAnalgesics, Non-Narcotic

Identifiers

PMID24603244
OpenAlexW2128127601

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.