Evidence map›Paper›PMID 40960575›Full record

ArticleOdontology2026

Impact of CT-assessed sarcopenia on the severity of odontogenic deep neck infections: a retrospective cohort study.

Shogo Kikuta, Eiji Iwata, Yohei Takeshita, Chizuru Kobayashi, Hiroki Kimura, Yuki Kinisada, Akira Tachibana, Jingo Kusukawa, Masaya Akashi, Soichiro Ibaragi

Abstract read
In one paragraph

Article in Odontology, 2026. 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

10 authors.

Shogo KikutaDental and Oral Medical Center, Kurume University School of Medicine, Kurume, Japan.
Eiji IwataDepartment of Oral and Maxillofacial Surgery, Dentistry and Pharmaceutical Sciences, Okayama University Graduate School of Medicine, 2-5-1 Shikata-cho, Kitaku, Okayama, 700-8525, Japan. eiwata@okayama-u.ac.jp.ORCID http://orcid.org/0000-0002-4010-8062
Yohei TakeshitaDepartment of Oral and Maxillofacial Radiology, Dentistry and Pharmaceutical Sciences, Okayama University Graduate School of Medicine, Okayama, Japan.
Chizuru KobayashiDepartment of Oral and Maxillofacial Surgery, Dentistry and Pharmaceutical Sciences, Okayama University Graduate School of Medicine, 2-5-1 Shikata-cho, Kitaku, Okayama, 700-8525, Japan.
Hiroki KimuraDepartment of Oral and Maxillofacial Surgery, Dentistry and Pharmaceutical Sciences, Okayama University Graduate School of Medicine, 2-5-1 Shikata-cho, Kitaku, Okayama, 700-8525, Japan.
Yuki KinisadaDepartment of Oral and Maxillofacial Surgery, Dentistry and Pharmaceutical Sciences, Okayama University Graduate School of Medicine, 2-5-1 Shikata-cho, Kitaku, Okayama, 700-8525, Japan.
Akira TachibanaDepartment of Oral and Maxillofacial Surgery, Kakogawa Central City Hospital, Kakogawa, Japan.
Jingo KusukawaDental and Oral Medical Center, Kurume University School of Medicine, Kurume, Japan.
Masaya AkashiDepartment of Oral and Maxillofacial Surgery, Kobe University Graduate School of Medicine, Kobe, Japan.
Soichiro IbaragiDepartment of Oral and Maxillofacial Surgery, Dentistry and Pharmaceutical Sciences, Okayama University Graduate School of Medicine, 2-5-1 Shikata-cho, Kitaku, Okayama, 700-8525, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sarcopenia is increasingly recognized as a key predictor of adverse health outcomes. This study aimed to evaluate the impact of computed tomography-assessed sarcopenia (CT-SP) on the clinical severity and hospitalization duration of odontogenic deep neck infections (DNIs). Total of 119 patients admitted for odontogenic DNI treatment were included. Patients were divided into two groups by DNI clinical severity (severe or mild) and the patients' characteristics, including CT-SP based on skeletal muscle index (SMI), were compared between two groups. Multivariable logistic regression analysis was performed to identify independent risk factors for severe DNI. The correlation between SMI and hospitalization duration was assessed using Spearman's rank correlation coefficient. Of the 119 patients, 60 (50.4%) presented with severe DNIs, including deep neck abscesses and necrotizing soft tissue infections. After adjusting for potential confounders, multivariable analysis identified CT-SP as the sole independent risk factor associated with severe DNI (Odds Ratio = 3.04; 95% Confidence Interval, 1.20-7.71; p = 0.019). Furthermore, SMI demonstrated a significant, weak negative correlation with the hospitalization duration (r = - 0.331, p < 0.001). CT-SP is a powerful, independent risk factor associated with severity in patients with odontogenic DNIs. This finding underscores the critical role of systemic host factors in the clinical course of maxillofacial infections and highlights the potential of opportunistic CT screening as a factor to consider in risk stratification in this vulnerable population.

Indexed as

Focal Infection, DentalNeckSarcopeniaSoft Tissue InfectionsTomography, X-Ray ComputedAbscessAdultFemaleHospitalizationHumansLength of StayMaleMiddle AgedRetrospective StudiesRisk FactorsSeverity of Illness IndexCT-assessed sarcopeniaHospitalization durationOdontogenic deep neck infectionsSeveritySkeletal muscle index

Identifiers

PMID40960575
PMCPMC13319840

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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.