Evidence map›Paper›PMID 40753111›Full record

ArticleScientific reports2025

Working-age patients with medically unexplained oral symptoms who receive public assistance in Japan.

Takayuki Suga, Akira Toyofuku

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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. 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

2 authors.

Takayuki SugaDepartment of Psychosomatic Dentistry, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo, 1-5-45 Yushima, Bunkyo-ku, Tokyo, 113-8510, Japan. suga.ompm@tmd.ac.jp.
Akira ToyofukuDepartment of Psychosomatic Dentistry, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo, 1-5-45 Yushima, Bunkyo-ku, Tokyo, 113-8510, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Medically unexplained oral symptoms (MUOS) are frequently associated with psychosocial factors. Although most affected individuals can maintain their usual daily activities, a small subset experience pronounced socioeconomic hardship, and the prevalence and characteristics remain unclear in working-age Japanese public assistance recipients. This retrospective chart review examined 3685 first-visit patients at a tertiary psychosomatic dentistry clinic between April 2016 and March 2023. Of these, 98 (2.7%) received public assistance, and 55 (1.5% of the total sample) were aged 18-64 years. Demographic, clinical, and social determinants of health-including psychiatric diagnoses, living arrangement, and employment status-were analyzed. Results showed that 90.9% of the 55 participants had current or past psychiatric diagnoses, most commonly depression, anxiety, schizophrenia-spectrum, or bipolar disorders; 74.5% experienced polypharmacy. Unemployment and living alone were prevalent, underscoring persistent social isolation and limited support networks. These findings highlight the importance of integrating psychosomatic care with psychiatric support and broader social resources-such as community-based NPO services, and informal family or peer support-to address the complex needs of this underserved population. By situating MUOS within a broader context of social determinants of health, this study offers insights for more holistic, multidisciplinary interventions.

Indexed as

Medically Unexplained SymptomsAdolescentAdultFemaleHumansJapanMaleMental DisordersMiddle AgedPrevalenceRetrospective StudiesYoung AdultBurning mouth syndromeMedically unexplained oral symptomsOral cenesthopathyPersistent idiopathic facial painPublic assistanceSocioeconomic vulnerability

Identifiers

PMID40753111
PMCPMC12318022

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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.