Evidence map›Paper›PMID 33538014›Full record

ArticleEuropean journal of oral sciences2021

Hospital admissions for dental disorders in patients with severe mental illness in Southeast London: A register-based cohort study.

Jaya Chaturvedi, Wael Sabbah, Jennifer E Gallagher, Jonathan Turner, Charlotte Curl, Robert Stewart

Open access · hybridAbstract read
In one paragraph

Article in European journal of oral sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

5 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Developing a Consensus Statement to Target Oral Health Inequalities in People With Severe Mental Illness.Health expectations : an international journal of public participation in health care and health policy · 2024
    Article
  4. Article
  5. Article
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

6 authors at 3 institutions in 1 country.

Jaya ChaturvediKing's College London, London, UK.ORCID 0000-0002-6359-9853
Wael SabbahKing's College London, London, UK.ORCID 0000-0002-6339-9480
Jennifer E GallagherKing's College London, London, UK.ORCID 0000-0001-5068-8008
Jonathan TurnerCity University of London, London, UK.ORCID 0000-0001-9991-3130
Charlotte CurlKing's College Hospital NHS Foundation Trust, London, UK.
Robert StewartKing's College London, London, UK.ORCID 0000-0002-4435-6397
King's College London · GBCity, University of London · GBKing's College Hospital NHS Foundation Trust · GB

Funding

Department of HealthMedical Research Council MC/PC/17214Medical Research Council MC_PC_17214Medical Research Council MR/V049879/1
6 · The paper itself

Abstract

In people with mental disorders, adverse general health is well recognized but dental diseases remain underinvestigated. The objective of this study was to investigate risk factors for hospital admissions for dental disorders in patients with severe mental illness (SMI) and/or depressive disorder. De-identified electronic mental health records from the South London and Maudsley NHS Foundation Trust (SLaM) were linked to national Hospital Episode Statistics (HES) data for analysis. Data were extracted for adults with a diagnosis of SMI (schizophrenia, schizoaffective disorder, bipolar disorder) and/or depression, who had received care at SLaM between 1 January 2010 and 31 March 2017. In the cohort of 18,999 patients thus obtained, the following factors were independently associated with hospital admission for dental disorders: female gender [odds ratio (OR) = 1.48, 95% CI: 1.31-1.68)], Health of the Nation Outcome Scales (HoNOS) problem drinking/drug taking (OR = 1.12, 95% CI: 1.05-1.19), HoNOS physical illness/disability (OR = 1.18, 95% CI: 1.12-.25), diabetes (OR = 1.24, 95% CI: 1.06-1.43), recorded current/past smoking (OR = 1.35, 95% CI: 1.06-1.43), treatment with antidepressant medication (OR = 1.48, 95% CI: 1.31-1.68), and depressive disorder (OR = 1.36, 95% CI: 1.11-1.68). Building on previous research in this population, which indicated a relatively high risk of acute care hospitalizations with dental disorders as discharge diagnoses, a number of demographic and clinical characteristics were found to be independent predictors over a 7-yr period. Further research into these predictors would facilitate a better understanding of how adverse dental outcomes might be prevented.

Indexed as

Mental DisordersAdultCohort StudiesFemaleHospitalizationHospitalsHumansLondondental caremental healthprimary health carepsychotic disordersrisk factors

Identifiers

PMID33538014
PMCPMC7986787
OpenAlexW3126909975

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.