Department of Pharmacy, University of Pisa Via Bonanno 6 56126 Pisa Italy giulia.bononi@farm.unipi.it valentina.citi@unipi.it alma.martelli@unipi.it giulio.poli@unipi.it tiziano.tuccinardi@unipi.it carlotta.granchi@unipi.it lara.testai@unipi.it vincenzo.calderone@unipi.it filippo.minutolo@unipi.it.
Department of Pharmacy, University of Pisa Via Bonanno 6 56126 Pisa Italy giulia.bononi@farm.unipi.it valentina.citi@unipi.it alma.martelli@unipi.it giulio.poli@unipi.it tiziano.tuccinardi@unipi.it carlotta.granchi@unipi.it lara.testai@unipi.it vincenzo.calderone@unipi.it filippo.minutolo@unipi.it.
Department of Pharmacy, University of Pisa Via Bonanno 6 56126 Pisa Italy giulia.bononi@farm.unipi.it valentina.citi@unipi.it alma.martelli@unipi.it giulio.poli@unipi.it tiziano.tuccinardi@unipi.it carlotta.granchi@unipi.it lara.testai@unipi.it vincenzo.calderone@unipi.it filippo.minutolo@unipi.it.
Center for Instrument Sharing of the University of Pisa (CISUP) Lungarno Pacinotti 43 56126 Pisa Italy.
Department of Pharmacy, University of Pisa Via Bonanno 6 56126 Pisa Italy giulia.bononi@farm.unipi.it valentina.citi@unipi.it alma.martelli@unipi.it giulio.poli@unipi.it tiziano.tuccinardi@unipi.it carlotta.granchi@unipi.it lara.testai@unipi.it vincenzo.calderone@unipi.it filippo.minutolo@unipi.it.
Department of Pharmacy, University of Pisa Via Bonanno 6 56126 Pisa Italy giulia.bononi@farm.unipi.it valentina.citi@unipi.it alma.martelli@unipi.it giulio.poli@unipi.it tiziano.tuccinardi@unipi.it carlotta.granchi@unipi.it lara.testai@unipi.it vincenzo.calderone@unipi.it filippo.minutolo@unipi.it.
Center for Instrument Sharing of the University of Pisa (CISUP) Lungarno Pacinotti 43 56126 Pisa Italy.
Department of Pharmacy, University of Pisa Via Bonanno 6 56126 Pisa Italy giulia.bononi@farm.unipi.it valentina.citi@unipi.it alma.martelli@unipi.it giulio.poli@unipi.it tiziano.tuccinardi@unipi.it carlotta.granchi@unipi.it lara.testai@unipi.it vincenzo.calderone@unipi.it filippo.minutolo@unipi.it.
Center for Instrument Sharing of the University of Pisa (CISUP) Lungarno Pacinotti 43 56126 Pisa Italy.
Department of Pharmacy, University of Pisa Via Bonanno 6 56126 Pisa Italy giulia.bononi@farm.unipi.it valentina.citi@unipi.it alma.martelli@unipi.it giulio.poli@unipi.it tiziano.tuccinardi@unipi.it carlotta.granchi@unipi.it lara.testai@unipi.it vincenzo.calderone@unipi.it filippo.minutolo@unipi.it.
Center for Instrument Sharing of the University of Pisa (CISUP) Lungarno Pacinotti 43 56126 Pisa Italy.
Department of Pharmacy, University of Pisa Via Bonanno 6 56126 Pisa Italy giulia.bononi@farm.unipi.it valentina.citi@unipi.it alma.martelli@unipi.it giulio.poli@unipi.it tiziano.tuccinardi@unipi.it carlotta.granchi@unipi.it lara.testai@unipi.it vincenzo.calderone@unipi.it filippo.minutolo@unipi.it.
Center for Instrument Sharing of the University of Pisa (CISUP) Lungarno Pacinotti 43 56126 Pisa Italy.
Department of Pharmacy, University of Pisa Via Bonanno 6 56126 Pisa Italy giulia.bononi@farm.unipi.it valentina.citi@unipi.it alma.martelli@unipi.it giulio.poli@unipi.it tiziano.tuccinardi@unipi.it carlotta.granchi@unipi.it lara.testai@unipi.it vincenzo.calderone@unipi.it filippo.minutolo@unipi.it.
Center for Instrument Sharing of the University of Pisa (CISUP) Lungarno Pacinotti 43 56126 Pisa Italy.
Department of Animal Sciences, The Robert H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, Rehovot 761001, Israel.
School of Pharmaceutical Science and Technology, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China.
State Key Laboratory of Chemical Biology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China.
Computed tomography (CT) can accurately measure muscle mass, which is necessary for diagnosing sarcopenia, even in dialysis patients. However, CT-based screening for such patients is challenging, espe...
Hemodialysis patients (n = 619) who had undergone abdominal CT screening were divided into the development (n = 441) and validation (n = 178) groups. PMI was manually measured using abdominal CT image...
Of all subjects, 226 (37%) were diagnosed with low muscle mass using PMI. A predictive model for low muscle mass was calculated using ten variables: each grip strength, sex, height, dry weight, primar...
Our results facilitate skeletal muscle screening in hemodialysis patients, assisting in sarcopenia prophylaxis and intervention decisions....
We aimed to examine the relationship between the fat-free mass index (FFMI; FFM/height...
Cross-sectional study....
This study included 1313 adults (women, 33.6%) aged 40-87 years (mean age, 55 ± 10 years) from the WASEDA'S Health Study....
Body composition was measured using multifrequency BIA and DXA. Low muscle mass was defined according to the criteria of the Asian Working Group for Sarcopenia 2019....
BIA-measured FFMI showed strong positive correlations with both BIA- (r = 0.96) and DXA-measured (r = 0.95) ASMIs. Similarly, in the subgroup analysis according to age and obesity, the FFMI was correl...
The FFMI showed a strong positive correlation with BIA- and DXA-measured ASMIs, regardless of age and obesity. The FFMI could be a useful simple surrogate marker of the ASMI for low muscle mass screen...
In Dutch breast cancer screening, solitary, new or growing well-circumscribed masses should be recalled for further assessment. This results in cancers detected but also in false positive recalls, esp...
A systematic literature search was performed using PubMed. In addition, follow-up data were retrieved on all 8860 recalled women in a Dutch screening region from 2014 to 2019....
Based on 15 articles identified in the literature search, we found that probably benign well-circumscribed masses that were kept under surveillance had a positive predictive value (PPV) of 0-2%. New o...
To recognize malignancies presenting as well-circumscribed masses, identifying solitary, new or growing lesions is key. This information is missing at initial screening since prior examinations are no...
Newborn screening (NBS) can prevent inborn errors of metabolism (IEMs), which may cause long-term disability and even death in newborns. However, in China, tandem mass spectrometry (MS/MS) screening h...
A Markov model was built to estimate the cost and quality-adjusted life-years (QALYs) of different screening programs. We compared PKU screening using traditional immunofluorescence (IF) with the othe...
The incremental cost-effectiveness ratio (ICER) of detecting all 12 IEMs in the national program is 277,823 RMB per QALY, below three times per capita GDP in Shenzhen. MS/MS screening in Shenzhen can ...
We conclude that the newborn screening using MS/MS in Shenzhen is cost-effective, and the budget affordable for the Shenzhen government. Two concepts for selecting the IEMs to be detected are also pre...
Chronic obstructive pulmonary disease (COPD) is a preventable and treatable disease, highlighting the need for efficient screening strategies to identify patients with COPD. However, there is little e...
In this cross-sectional study, we originally investigated the efficacy of mass screening for COPD among community residents in the aforementioned region using two COPD screening questionnaires....
From July 2018 through January 2019, 688 participants were enrolled. COPD was diagnosed using the Global Initiative for the Chronic Obstructive Lung Disease criteria. Twenty-one patients were newly di...
Mass screening for COPD using screening questionnaires, particularly the COPD-PS questionnaire, might be useful to identify the early stages of COPD in a medical health check-up population....
Although the study design for identifying specific disease associations using a health insurance database has been well-established, few studies explore unknown comorbidities. We conducted a series of...
Gastric cancer is an inflammation-related cancer triggered by Helicobacter pylori infection. Understanding of the natural disease course has prompted the hypothesis that gastric cancer can be prevente...
The early detection of symptoms and rapid testing are the basis of an efficient screening strategy to control COVID-19 transmission. The olfactory dysfunction is one of the most prevalent symptom and ...
The main goal of this study was to examine the relationship between exposure to mass media health campaign massages and the uptake of non-communicable diseases (NCDs) screening services in Ghana and w...
Updated data on the seroprevalences of hepatitis B and C viruses (HBV, HCV) are required to enable the adaptation of control strategies. In this study, we aimed to: (i) estimate the seroprevalences of...
From October 2020 to October 2022, a mass screening campaign was conducted in 10 cities across Burkina Faso. Individuals of all ages and genders who consented to participate were screened for viral ma...
A total of 15,650 participants were enrolled in the study. Of these, 51.4% were women and the age range was from 1 to 97 years. All participants were screened for HBsAg and 7,507 were also screened fo...
The prevalence of HBV and HCV infections remains high in Burkina Faso. Prevention strategies, including initial mass screening with rapid diagnostic tests and vaccination, need to be intensified....
