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Article ; Online: Supplier-Induced Demand for Chronic Disease Care in Japan: Multilevel Analysis of the Association between Physician Density and Physician-Patient Encounter Frequency.

Sekimoto, Miho / Ii, Masako

2015 Volume 6, Page(s) 103–110

Abstract: Background: There are currently large regional variations in the frequency of physician-patient encounters for the treatment of chronic lifestyle diseases in Japan. These variations may be influenced by competition among physicians, and supplier-induced ...

Abstract	Background: There are currently large regional variations in the frequency of physician-patient encounters for the treatment of chronic lifestyle diseases in Japan. These variations may be influenced by competition among physicians, and supplier-induced demand (SID) in health care can occur when physicians manipulate their patients' demand for medical services to increase the use of health care. Objectives: To analyze patient data to investigate the presence of SID in the treatment of chronic diseases at the regional level in Japan. Methods: We tested the hypothesis that clinic and hospital physicians in areas of high competition (high physician density) are more likely to recommend a sooner follow-up consultation than do those in areas of lower competition (lower physician density). Using random-effects multilevel models, we analyzed patient survey data and administrative claims data to estimate the effects of physician density on encounter frequency and medical charges. In the analysis of claims data, we used the mean drug administration period as a proxy for the frequency of physician-initiated encounters. Results: Our analysis showed that encounter frequency was significantly associated with clinic physician density, but there were no consistent associations with hospital physician density. Increases in physician density were significantly associated with increases in both clinic and hospital medical charges, and these associations were independent from encounter frequency. Conclusions: The results of our study indicate the presence of SID in Japan. Further studies should investigate whether more frequent physician-patient encounters provide clinical advantages to patients.
Language	English
Publishing date	2015-05
Publishing country	United States
Document type	Journal Article
ZDB-ID	2679127-4
ISSN	2212-1102 ; 2212-1099
ISSN (online)	2212-1102
ISSN	2212-1099
DOI	10.1016/j.vhri.2015.03.010
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Article ; Online: Effectiveness of monthly and bimonthly follow-up of patients with well-controlled type 2 diabetes: a propensity score matched cohort study.

Ukai, Tomohiko / Ichikawa, Shuhei / Sekimoto, Miho / Shikata, Satoru / Takemura, Yousuke

BMC endocrine disorders

2019 Volume 19, Issue 1, Page(s) 43

Abstract: Background: On average, patients in Japan with type 2 diabetes mellitus have a clinical consultation every month, although evidence for a favorable follow-up interval is lacking. This study investigated whether the follow-up interval can be extended by ... ...

Abstract	Background: On average, patients in Japan with type 2 diabetes mellitus have a clinical consultation every month, although evidence for a favorable follow-up interval is lacking. This study investigated whether the follow-up interval can be extended by comparing the clinical outcomes and cost for monthly versus bimonthly follow-up of patients with well-controlled diabetes mellitus. Methods: We combined administrative claims data from the National Health Insurance and the Health Checkups Program data of Tsu city, Japan between 2011 and 2014 to conduct a retrospective cohort study of patients with well-controlled type 2 diabetes mellitus. Propensity scores were used to assemble a matched-pairs cohort from patients who had monthly and bimonthly follow-up. Equivalence between two groups was assessed by designating the proportion of patients who maintained good control of their diabetes in the subsequent year as a primary outcome. The proportion achieving target blood pressure and lipid levels, favorable lifestyle, and annual cost were compared as secondary outcomes. Results: Of 12,145 participants, 693 with monthly follow-up and 693 with bimonthly follow-up were matched using propensity scores. In the monthly follow-up group 654 (94.4%) remained under good diabetic control, versus 658 (95.0%) in the bimonthly group (difference: 0.6%; 95% confidence interval: - 1.8 to 2.9%). All secondary outcomes were equivalent for the monthly and bimonthly follow-up groups except the proportion achieving target blood pressure, the proportion engaging in regular exercise, and annual cost. Conclusions: For patients with well-controlled diabetes mellitus, although frequent follow-up by a physician does not affect the control of blood glucose level in the subsequent year, the annual treatment cost becomes much higher. We suggest that patients with well-controlled diabetes can be followed up less often.
MeSH term(s)	Aged ; Biomarkers/analysis ; Blood Glucose/analysis ; Blood Pressure ; Cost-Benefit Analysis ; Diabetes Mellitus, Type 2/blood ; Diabetes Mellitus, Type 2/economics ; Diabetes Mellitus, Type 2/physiopathology ; Female ; Follow-Up Studies ; Glycated Hemoglobin/analysis ; Humans ; Hypoglycemic Agents/therapeutic use ; Japan ; Male ; Monitoring, Physiologic/methods ; Prognosis ; Propensity Score ; Retrospective Studies
Chemical Substances	Biomarkers ; Blood Glucose ; Glycated Hemoglobin A ; Hypoglycemic Agents ; hemoglobin A1c protein, human
Language	English
Publishing date	2019-05-02
Publishing country	England
Document type	Journal Article
ZDB-ID	2091323-0
ISSN	1472-6823 ; 1472-6823
ISSN (online)	1472-6823
ISSN	1472-6823
DOI	10.1186/s12902-019-0372-5
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Article ; Online: Development of an artificial intelligence-assisted computed tomography diagnosis technology for rib fracture and evaluation of its clinical usefulness.

Niiya, Akifumi / Murakami, Kouzou / Kobayashi, Rei / Sekimoto, Atsuhito / Saeki, Miho / Toyofuku, Kosuke / Kato, Masako / Shinjo, Hidenori / Ito, Yoshinori / Takei, Mizuki / Murata, Chiori / Ohgiya, Yoshimitsu

Scientific reports

2022 Volume 12, Issue 1, Page(s) 8363

Abstract: Artificial intelligence algorithms utilizing deep learning are helpful tools for diagnostic imaging. A deep learning-based automatic detection algorithm was developed for rib fractures on computed tomography (CT) images of high-energy trauma patients. In ...

Abstract	Artificial intelligence algorithms utilizing deep learning are helpful tools for diagnostic imaging. A deep learning-based automatic detection algorithm was developed for rib fractures on computed tomography (CT) images of high-energy trauma patients. In this study, the clinical effectiveness of this algorithm was evaluated. A total of 56 cases were retrospectively examined, including 46 rib fractures and 10 control cases from our hospital, between January and June 2019. Two radiologists annotated the fracture lesions (complete or incomplete) for each CT image, which is considered the "ground truth." Thereafter, the algorithm's diagnostic results for all cases were compared with the ground truth, and the sensitivity and number of false positive (FP) results per case were assessed. The radiologists identified 199 images with a fracture. The sensitivity of the algorithm was 89.8%, and the number of FPs per case was 2.5. After additional learning, the sensitivity increased to 93.5%, and the number of FPs was 1.9 per case. FP results were found in the trabecular bone with the appearance of fracture, vascular grooves, and artifacts. The sensitivity of the algorithm used in this study was sufficient to aid the rapid detection of rib fractures within the evaluated validation set of CT images.
MeSH term(s)	Algorithms ; Artificial Intelligence ; Humans ; Retrospective Studies ; Rib Fractures/diagnostic imaging ; Technology ; Tomography, X-Ray Computed/methods
Language	English
Publishing date	2022-05-19
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2615211-3
ISSN	2045-2322 ; 2045-2322
ISSN (online)	2045-2322
ISSN	2045-2322
DOI	10.1038/s41598-022-12453-5
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Article ; Online: Tissue-scale tensional homeostasis in skin regulates structure and physiological function

Shun Kimura / Ayako Tsuchiya / Miho Ogawa / Miki Ono / Nao Suda / Kaori Sekimoto / Makoto Takeo / Takashi Tsuji

Communications Biology, Vol 3, Iss 1, Pp 1-

2020 Volume 14

Abstract: Kimura et al. reports a refined human skin equivalent (HSE) model that reproduces traction-force balance in the lateral direction. This tension improves HSE characteristics and promotes skin homeostasis. This model has great potential for applications in ...

Abstract	Kimura et al. reports a refined human skin equivalent (HSE) model that reproduces traction-force balance in the lateral direction. This tension improves HSE characteristics and promotes skin homeostasis. This model has great potential for applications in drug screening and understanding the molecular mechanisms of drug effects, skin ageing and diseases.
Keywords	Biology (General) ; QH301-705.5
Language	English
Publishing date	2020-10-01T00:00:00Z
Publisher	Nature Publishing Group
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Tissue-scale tensional homeostasis in skin regulates structure and physiological function.

Kimura, Shun / Tsuchiya, Ayako / Ogawa, Miho / Ono, Miki / Suda, Nao / Sekimoto, Kaori / Takeo, Makoto / Tsuji, Takashi

Communications biology

2020 Volume 3, Issue 1, Page(s) 637

Abstract: Tensional homeostasis is crucial for organ and tissue development, including the establishment of morphological and functional properties. Skin plays essential roles in waterproofing, cushioning and protecting deeper tissues by forming internal tension- ... ...

Abstract	Tensional homeostasis is crucial for organ and tissue development, including the establishment of morphological and functional properties. Skin plays essential roles in waterproofing, cushioning and protecting deeper tissues by forming internal tension-distribution patterns, which involves aligning various cells, appendages and extracellular matrices (ECMs). The balance of traction force is thought to contribute to the formation of strong and pliable physical structures that maintain their integrity and flexibility. Here, by using a human skin equivalent (HSE), the horizontal tension-force balance of the dermal layer was found to clearly improve HSE characteristics, such as the physical relationship between cells and the ECM. The tension also promoted skin homeostasis through the activation of mechano-sensitive molecules such as ROCK and MRTF-A, and these results compared favourably to what was observed in tension-released models. Tension-induced HSE will contribute to analyze skin physiological functions regulated by tensional homeostasis as an alternative animal model.
MeSH term(s)	Amides/pharmacology ; Animals ; Biomechanical Phenomena ; Cell Adhesion ; Epidermis/physiology ; Extracellular Matrix/physiology ; Female ; Fibroblasts/physiology ; Gene Expression Regulation ; Homeostasis ; Humans ; Keratinocytes/cytology ; Keratinocytes/physiology ; Mice, Inbred C57BL ; Models, Biological ; Pyridines/pharmacology ; Skin/chemistry ; Skin/cytology ; Skin/drug effects ; Skin Physiological Phenomena ; Stress, Mechanical ; Tissue Culture Techniques
Chemical Substances	Amides ; Pyridines ; Y 27632 (138381-45-0)
Language	English
Publishing date	2020-10-30
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ISSN	2399-3642
ISSN (online)	2399-3642
DOI	10.1038/s42003-020-01365-7
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Article ; Online: Development of an artificial intelligence-assisted computed tomography diagnosis technology for rib fracture and evaluation of its clinical usefulness

Akifumi Niiya / Kouzou Murakami / Rei Kobayashi / Atsuhito Sekimoto / Miho Saeki / Kosuke Toyofuku / Masako Kato / Hidenori Shinjo / Yoshinori Ito / Mizuki Takei / Chiori Murata / Yoshimitsu Ohgiya

Scientific Reports, Vol 12, Iss 1, Pp 1-

2022 Volume 7

Abstract: Abstract Artificial intelligence algorithms utilizing deep learning are helpful tools for diagnostic imaging. A deep learning-based automatic detection algorithm was developed for rib fractures on computed tomography (CT) images of high-energy trauma ... ...

Abstract	Abstract Artificial intelligence algorithms utilizing deep learning are helpful tools for diagnostic imaging. A deep learning-based automatic detection algorithm was developed for rib fractures on computed tomography (CT) images of high-energy trauma patients. In this study, the clinical effectiveness of this algorithm was evaluated. A total of 56 cases were retrospectively examined, including 46 rib fractures and 10 control cases from our hospital, between January and June 2019. Two radiologists annotated the fracture lesions (complete or incomplete) for each CT image, which is considered the “ground truth.” Thereafter, the algorithm’s diagnostic results for all cases were compared with the ground truth, and the sensitivity and number of false positive (FP) results per case were assessed. The radiologists identified 199 images with a fracture. The sensitivity of the algorithm was 89.8%, and the number of FPs per case was 2.5. After additional learning, the sensitivity increased to 93.5%, and the number of FPs was 1.9 per case. FP results were found in the trabecular bone with the appearance of fracture, vascular grooves, and artifacts. The sensitivity of the algorithm used in this study was sufficient to aid the rapid detection of rib fractures within the evaluated validation set of CT images.
Keywords	Medicine ; R ; Science ; Q
Subject code	006
Language	English
Publishing date	2022-05-01T00:00:00Z
Publisher	Nature Portfolio
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: STAT3 Activation in Psoriasis and Cancers.

Kishimoto, Megumi / Komine, Mayumi / Sashikawa-Kimura, Miho / Ansary, Tuba Musarrat / Kamiya, Koji / Sugai, Junichi / Mieno, Makiko / Kawata, Hirotoshi / Sekimoto, Ryutaro / Fukushima, Noriyoshi / Ohtsuki, Mamitaro

Diagnostics (Basel, Switzerland)

2021 Volume 11, Issue 10

Abstract: Activation of signal transducer and activator of transcription (STAT)3 has been reported in many cancers. It is also well known that STAT3 is activated in skin lesions of psoriasis, a chronic skin disease. In this study, to ascertain whether patients ... ...

Abstract	Activation of signal transducer and activator of transcription (STAT)3 has been reported in many cancers. It is also well known that STAT3 is activated in skin lesions of psoriasis, a chronic skin disease. In this study, to ascertain whether patients with psoriasis have a predisposition to STAT3 activation, we examined phosphorylated STAT3 in cancer cells of psoriasis patients via immunohistochemistry. We selected patients with psoriasis who visited the Department of Dermatology, Jichi Medical University Hospital, from January 2000 to May 2015, and had a history of cancer. We performed immunostaining for phosphorylated STAT3 in tumor cells of five, four, and six cases of gastric, lung, and head and neck cancer, respectively. The results showed that there was no significant difference in STAT3 activation in any of the three cancer types between the psoriasis and control groups. Although this study presents limitations in its sample size and inconsistency in the histology and differentiation of the cancers, results suggest that psoriasis patients do not have a predisposition to STAT3 activation. Instead, STAT3 activation is intricately regulated by each disorder or cellular microenvironment in both cancer and psoriasis.
Language	English
Publishing date	2021-10-15
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2662336-5
ISSN	2075-4418
ISSN	2075-4418
DOI	10.3390/diagnostics11101903
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Article ; Online: STAT3 Activation in Psoriasis and Cancers

Megumi Kishimoto / Mayumi Komine / Miho Sashikawa-Kimura / Tuba Musarrat Ansary / Koji Kamiya / Junichi Sugai / Makiko Mieno / Hirotoshi Kawata / Ryutaro Sekimoto / Noriyoshi Fukushima / Mamitaro Ohtsuki

Diagnostics, Vol 11, Iss 1903, p

2021 Volume 1903

Abstract	Activation of signal transducer and activator of transcription (STAT)3 has been reported in many cancers. It is also well known that STAT3 is activated in skin lesions of psoriasis, a chronic skin disease. In this study, to ascertain whether patients with psoriasis have a predisposition to STAT3 activation, we examined phosphorylated STAT3 in cancer cells of psoriasis patients via immunohistochemistry. We selected patients with psoriasis who visited the Department of Dermatology, Jichi Medical University Hospital, from January 2000 to May 2015, and had a history of cancer. We performed immunostaining for phosphorylated STAT3 in tumor cells of five, four, and six cases of gastric, lung, and head and neck cancer, respectively. The results showed that there was no significant difference in STAT3 activation in any of the three cancer types between the psoriasis and control groups. Although this study presents limitations in its sample size and inconsistency in the histology and differentiation of the cancers, results suggest that psoriasis patients do not have a predisposition to STAT3 activation. Instead, STAT3 activation is intricately regulated by each disorder or cellular microenvironment in both cancer and psoriasis.
Keywords	psoriasis ; STAT3 ; cancer ; immunohistochemistry ; Medicine (General) ; R5-920
Subject code	610
Language	English
Publishing date	2021-10-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: Correction: Sugimoto et al. Trends in the Prevalence and Progression of Diabetic Retinopathy Associated with Hyperglycemic Disorders during Pregnancy in Japan.

Sugimoto, Masahiko / Sampa, Kohei / Tsukitome, Hideyuki / Kato, Kumiko / Matsubara, Hisashi / Asami, Shin / Sekimoto, Kaori / Kitano, Shigehiko / Yoshida, Shigeo / Takamura, Yoshihiro / Hirano, Takao / Murata, Toshinori / Shimizu, Miho / Kinoshita, Takamasa / Kusuhara, Sentaro / Sawada, Osamu / Ohji, Masahito / Yoshikawa, Rina / Kimura, Kazuhiro /

Ishikawa, Hiroto / Gomi, Fumi / Terasaki, Hiroto / Kondo, Mineo / Ikeda, Tomoaki / On Behalf Of The Writing Committee Of Japan-Clinical Retina STudy Group J-Crest

Journal of clinical medicine

2022 Volume 11, Issue 10

Abstract: In the original publication [ ... ]. ...

Abstract	In the original publication [...].
Language	English
Publishing date	2022-05-16
Publishing country	Switzerland
Document type	Published Erratum
ZDB-ID	2662592-1
ISSN	2077-0383
ISSN	2077-0383
DOI	10.3390/jcm11102789
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Article ; Online: Protease-activated receptor 2 contributes to placental development and fetal growth in mice.

Yamakage, Shu / Oe, Yuji / Sekimoto, Akiyo / Obata, Hirofumi / Yasuta, Miho / Sato, Emiko / Kumakura, Satoshi / Sato, Hiroshi / Sugawara, Junichi / Ito, Sadayoshi / Takahashi, Nobuyuki

Thrombosis research

2020 Volume 193, Page(s) 173–179

Abstract: Background: Protease-activated receptor 2 (PAR2) is activated by serine proteases such as coagulation tissue factor/VIIa complex, factor Xa or trypsin and is pro-angiogenic in several disease models. Impaired angiogenesis in placenta causes placental ... ...

Abstract	Background: Protease-activated receptor 2 (PAR2) is activated by serine proteases such as coagulation tissue factor/VIIa complex, factor Xa or trypsin and is pro-angiogenic in several disease models. Impaired angiogenesis in placenta causes placental dysfunction and fetal growth restriction. PAR2 is expressed in the placenta trophoblast. However, the role of PAR2 in pregnancy remains unknown. Objective: The present study aimed to examine the role of PAR2 in placental development and fetal growth using a murine model. Methods: PAR2 Results: A deficiency of PAR2 significantly reduced the fetal and placental weight and impaired placental labyrinth development in mice on 18.5 dpc. Collagen IV expression in placenta labyrinth was smaller in PAR2 knockout mice compared to that of wild-type mice. A deficiency of PAR2 also reduced the expression levels of genes related to angiogenesis and coagulation in placenta. Conclusion: Our data suggest that PAR2 is required for fetal growth and angiogenesis in the placenta and is thus important for a normal pregnancy.
MeSH term(s)	Animals ; Female ; Fetal Development ; Male ; Mice ; Mice, Inbred ICR ; Mice, Knockout ; Placenta ; Placentation ; Pregnancy ; Receptor, PAR-2/genetics
Chemical Substances	F2rl1 protein, mouse ; Receptor, PAR-2
Language	English
Publishing date	2020-07-02
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	121852-9
ISSN	1879-2472 ; 0049-3848
ISSN (online)	1879-2472
ISSN	0049-3848
DOI	10.1016/j.thromres.2020.06.039
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