Evidence map›Paper›PMID 38750118›Full record

ArticleScientific reports2024

Relationship of oral bacterial number with medical hospitalization costs in analysis of Diagnosis Procedure Combination database from single institution in Japan.

Hiromi Nishi, Mikihito Kajiya, Kouji Ohta, Hideo Shigeishi, Taiji Obayashi, Syuichi Munenaga, Nami Obayashi, Yukio Yoshioka, Masaru Konishi, Takako Naruse and 14 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. 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

24 authors.

Hiromi NishiDepartment of General Dentistry, Hiroshima University Hospital, 1-2-3 Kasumi, Minami-Ku, Hiroshima, 734-8553, Japan. hiyoko@hiroshima-u.ac.jp.
Mikihito KajiyaDepartment of Innovation and Precision Dentistry, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
Kouji OhtaDepartment of Public Oral Health, Program of Oral Health Sciences, Hiroshima University, Hiroshima, Japan.
Hideo ShigeishiDepartment of Public Oral Health, Program of Oral Health Sciences, Hiroshima University, Hiroshima, Japan.
Taiji ObayashiDepartment of Dental Hygiene, Ogaki Women's College, Gifu, Japan.
Syuichi MunenagaDepartment of General Dentistry, Hiroshima University Hospital, 1-2-3 Kasumi, Minami-Ku, Hiroshima, 734-8553, Japan.
Nami ObayashiDepartment of General Dentistry, Hiroshima University Hospital, 1-2-3 Kasumi, Minami-Ku, Hiroshima, 734-8553, Japan.
Yukio YoshiokaDepartment of Oral Oncology, Graduate School of Biomedical Health Sciences, Hiroshima University, Hiroshima, Japan.
Masaru KonishiDepartment of Oral and Maxillofacial Radiology, Hiroshima University Hospital, Hiroshima, Japan.
Takako NaruseDepartment of Oral and Maxillofacial Surgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
Akihiro MatsumotoDepartment of Medical Informatics, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
Ayaka OdoDepartment of Orthodontics and Craniofacial Developmental Biology, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
Masae KitagawaDepartment of Oral Laboratory Center, Hiroshima University Hospital, Hiroshima, Japan.
Toshinori AndoDepartment of Oral Laboratory Center, Hiroshima University Hospital, Hiroshima, Japan.
Tomoaki ShintaniDepartment of Oral Laboratory Center, Hiroshima University Hospital, Hiroshima, Japan.
Tomoko TokikazuDepartment of Clinical Practice and Support, Hiroshima University Hospital, Hiroshima, Japan.
Natsumi InoDepartment of Clinical Practice and Support, Hiroshima University Hospital, Hiroshima, Japan.
Naoki MiharaDepartment of Medical Informatics, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
Naoya KakimotoDepartment of Oral and Maxillofacial Radiology, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
Kazuhiro TsugaDepartment of Advanced Prosthodontics, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
Kotaro TanimotoDepartment of Orthodontics and Craniofacial Developmental Biology, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
Hiroki OhgeDepartment of Infectious Diseases, Hiroshima University Hospital, Hiroshima, Japan.
Hidemi KuriharaDental Academy at Kudamatsu, Yamaguchi, Japan.
Hiroyuki KawaguchiDepartment of General Dentistry, Hiroshima University Hospital, 1-2-3 Kasumi, Minami-Ku, Hiroshima, 734-8553, Japan.

Funding

research grant from JSPS KAKENHI 20K10162
6 · The paper itself

Abstract

Oral bacteria are known to be associated with perioperative complications during hospitalization. However, no presented reports have clarified the relationship of oral bacterial number with medical costs for inpatients. The Diagnosis Procedure Combination (DPC) database system used in Japan provides clinical information regarding acute hospital patients. The present study was conducted to determine the association of oral bacterial numbers in individual patients treated at a single institution with length of hospital stay and medical costs using DPC data. A total of 2369 patients referred by the medical department to the dental department at Hiroshima University Hospital were divided into the low (n = 2060) and high (n = 309) oral bacterial number groups. Length of hospital stay and medical costs were compared between the groups, as well as the associations of number of oral bacteria with Charlson comorbidity index (CCI)-related diseases in regard to mortality and disease severity. There was no significant difference in hospital stay length between the low (24.3 ± 24.2 days) and high (22.8 ± 20.1 days) oral bacterial number groups. On the other hand, the daily hospital medical cost in the high group was significantly greater (US$1456.2 ± 1505.7 vs. US$1185.7 ± 1128.6, P < 0.001). Additionally, there was no significant difference in CCI score between the groups, whereas the daily hospital medical costs for patients in the high group treated for cardiovascular disease or malignant tumors were greater than in the low number group (P < 0.05). Multivariate regression analysis was also performed, which showed that oral bacterial number, age, gender, BMI, cardiovascular disease, diabetes, malignant tumor, and hospital stay length were independently associated with daily hospitalization costs. Monitoring and oral care treatment to lower the number of oral bacteria in patients affected by cardiovascular disease or cancer may contribute to reduce hospitalization costs.

Indexed as

HospitalizationLength of StayAdultAgedAged, 80 and overBacteriaBacterial LoadDatabases, FactualFemaleHealth Care CostsHospital CostsHumansJapanMaleMiddle AgedMouthHospitalization costOral bacterial number

Identifiers

PMID38750118
PMCPMC11096395

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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.