Results 241 to 250 of about 86,353 (308)

Biological ageing, diet quality, and stroke: evidence from two population-based studies and an exploratory hospital-based Chinese cross-sectional dataset. [PDF]

Front Nutr
Liu Y, Zhang M, Liu Y.
europepmc   +1 more source

Periodontal Status and the Risk of All‐Cause Dementia, Alzheimer's Disease and Vascular Dementia in a Community: The Hisayama Study

Journal of Clinical Periodontology, Volume 53, Issue 11, Page 1663-1672, November 2026.
ABSTRACT Aim This study examined the associations of periodontal status with incident dementia and its subtypes in a Japanese community. Materials and Methods The 1396 participants aged ≥ 60 years without dementia were followed for 10 years. Periodontal status at baseline and 5 years was assessed using mean probing pocket depth (PPD), clinical ...
Michiko Furuta, Tomoyuki Ohara, Satoko Sakata, Mao Shibata, Emi Oishi, Yoshihiko Furuta, Shinya Kageyama, Mikari Asakawa, Yoshihiro Shimazaki, Toru Takeshita, Toshiharu Ninomiya   +10 more
wiley   +1 more source

Interpreting Population Survey Measures of Periodontal Disease Experience Under Severity‐Dependent Tooth Loss

Journal of Clinical Periodontology, Volume 53, Issue 11, Page 1681-1690, November 2026.
ABSTRACT Aim Clinical attachment loss (CAL) measured at retained teeth is used as an indicator of periodontal disease experience. Because CAL can be measured only on teeth present at examination, retained‐dentition summaries are conditioned on the observable dentition.
Kym M. McCormick, Najith Amarasena, Gina Guzzo, Sonia Nath, Lisa Jamieson   +4 more
wiley   +1 more source

Who is eligible for lung cancer screening, and where are they? National subpopulation estimates of people eligible for lung cancer screening

Cancer, Volume 132, Issue 20, 15 October 2026.
Abstract Background The utilization of lung cancer screening services is less than 20%. There are a myriad of barriers at the patient, provider, and health care system levels that account for such low uptake. One reason lung cancer screening rates remain low is that identifying who is eligible is challenging at the patient and at the population level ...
David Haynes, Jihyoun Jeon, Gerard Silvestri, Christine Lambert, Rafael Meza, R. Adams Dudley, Anne Melzer, Arianne Baldomero, Anne Joseph, Abbie Begnaud   +9 more
wiley   +1 more source

Development and validation of a model using routine clinical features to improve diabetes diagnosis. [PDF]

J Endocr Soc
Hutchison AL, Narula S, Faubert B, Thomas CC, Rinella ME, Mirmira RG, Parker WF.   +6 more
europepmc   +1 more source

Machine-learning-based prediction model of type 2 diabetes using liver enzymes: a cross-sectional study. [PDF]

Front Endocrinol (Lausanne)
Bi Y, Yuan X, Wang Y, Sun C, Tian S.
europepmc   +1 more source