Evidence map›Paper›PMID 36029230›Full record

ArticleAge and ageing2022

A novel Artificial Intelligence-based tool to assess anticholinergic burden: a survey.

Agostina Secchi, Hulkar Mamayusupova, Saber Sami, Ian Maidment, Simon Coulton, Phyo Kyaw Myint, Chris Fox

Abstract read
In one paragraph

Article in Age and ageing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

7 authors.

Agostina SecchiKent and Medway NHS and Social Care Partnership Trust.
Hulkar MamayusupovaAKFA University Medical School, Uzbekistan.ORCID 0000-0001-8980-0212
Saber SamiUniversity of East Anglia, Norwich, NR4 7TJ, UK.
Ian MaidmentAston University, Aston St, Birmingham B4 7ET, UK.
Simon CoultonUniversity of Kent, Giles Ln, Canterbury CT2 7NZ, UK.
Phyo Kyaw MyintAgeing Clinical & Experimental Research Team, Institute of Applied Health Sciences, University of Aberdeen, Aberdeen, Scotland, UK.
Chris FoxUniversity of Exeter, College of Medicine and Health.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundmany medications possess anticholinergic activity. Their use is associated with a number of serious adverse effects including cognitive effects. The cumulative anticholinergic effect of medications as assessed by tools such as the anticholinergic burden scale (AchB) can identify people particularly at risk of anticholinergic side-effects. Currently, >20 tools are available for clinicians to use, but there is no consensus on the most appropriate tool.

methodsa newly created online tool-International Anticholinergic Cognitive Burden Tool (IACT)-based on natural language processing and chemical structure analysis, was developed and made available for clinicians to test its functions. We carried out a survey (between 8th of February and 31st of March 2021) to assess the overall need for an assessment tool as well as the usability of the IACT.

resultsa total of 110 responses were received from different countries and practitioners' groups. The majority of the participants (86.11%) stated they would use a tool for AchB assessment if available and when they were asked to rate the IACT against other tools, amongst 34 responders, 20.59% rated it better and 8.82% rated it significantly better, 44.12% rated it neither better, nor worse, 14.71% rated it worse and 11.76% somewhat worse.

conclusionthere is a need for an anticholinergic burden calculator to assess the anticholinergicity of medications. Tools such as the IACT potentially could meet this demand due to its ability to assign scores to current and new medications appearing on the market based both on their chemical structure and reported adverse pharmacological effects.

Indexed as

Cholinergic AntagonistsDrug-Related Side Effects and Adverse ReactionsArtificial IntelligenceHumansCholinergic Antagonistsadverse eventsanticholinergicolder peoplepolypharmacy

Identifiers

PMID36029230
PMCPMC9419503

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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.