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PubMed Publications| Keyword search (4,163 papers available) |  |
"screening" Keyword-tagged Publications:
| Title | Authors | PubMed ID | |
|---|---|---|---|
| 1 | PARPAL: PARalog Protein Redistribution using Abundance and Localization in Yeast Database | Greco BM; Zapata G; Dandage R; Papkov M; Pereira V; Lefebvre F; Bourque G; Parts L; Kuzmin E; | 40580499 BIOLOGY |
| 2 | Imaging flow cytometry-based cellular screening elucidates pathophysiology in individuals with Variants of Uncertain Significance | Muffels IJJ; Waterham HR; D' Alessandro G; Zagnoli-Vieira G; Sacher M; Lefeber DJ; Van der Vinne C; Roifman CM; Gassen KLI; Rehmann H; Van Haaften-Visser DY; Nieuwenhuis ESS; Jackson SP; Fuchs SA; Wijk F; van Hasselt P; | 39920830 BIOLOGY |
| 3 | Automated abdominal aortic calcification and major adverse cardiovascular events in people undergoing osteoporosis screening: the Manitoba Bone Mineral Density Registry | Smith C; Sim M; Ilyas Z; Gilani SZ; Suter D; Reid S; Monchka BA; Jozani MJ; Figtree G; Schousboe JT; Lewis JR; Leslie WD; | 39749990 ENCS |
| 4 | Validation and Reliability of the Dyslexia Adult Checklist in Screening for Dyslexia | Stark Z; Elalouf K; Soldano V; Franzen L; Johnson AP; | 39660384 PSYCHOLOGY |
| 5 | Exploring the Qualitative Experiences of Administering and Participating in Remote Research via Telephone Using the Montreal Cognitive Assessment-Blind: Cross-Sectional Study of Older Adults | Dumassais S; Grewal KS; Aubin G; O' Connell M; Phillips NA; Wittich W; | 39546346 PSYCHOLOGY |
| 6 | Are MEDLINE searches sufficient for systematic reviews and meta-analyses of the diagnostic accuracy of depression screening tools? A review of meta-analyses | Rice DB; Kloda LA; Levis B; Qi B; Kingsland E; Thombs BD; | 27411746 LIBRARY |
| 7 | Reporting quality in abstracts of meta-analyses of depression screening tool accuracy: a review of systematic reviews and meta-analyses | Rice DB; Kloda LA; Shrier I; Thombs BD; | 27864250 LIBRARY |
| 8 | Depression Screening and Health Outcomes in Children and Adolescents: A Systematic Review | Roseman M; Saadat N; Riehm KE; Kloda LA; Boruff J; Ickowicz A; Baltzer F; Katz LY; Patten SB; Rousseau C; Thombs BD; | 28851234 LIBRARY |
| 9 | Simultaneous automated ascertainment of prevalent vertebral fracture and abdominal aortic calcification in clinical practice: role in fracture risk assessment | Schousboe JT; Lewis JR; Monchka BA; Reid SB; Davidson MJ; Kimelman D; Jozani MJ; Smith C; Sim M; Gilani SZ; Suter D; Leslie WD; | 38699950 ENCS |
| 10 | Screening for parent and child ADHD in urban pediatric primary care: pilot implementation and stakeholder perspectives | Lui JHL; Danko CM; Triece T; Bennett IM; Marschall D; Lorenzo NE; Stein MA; Chronis-Tuscano A; | 37442955 PSYCHOLOGY |
| 11 | A "biphasic glycosyltransferase high-throughput screen" identifies novel anthraquinone glycosides in the diversification of phenolic natural products | Mohideen FI; Kwan DH; | 36682498 CHEMBIOCHEM |
| 12 | Microfluidics for long-term single-cell time-lapse microscopy: Advances and applications | Allard P; Papazotos F; Potvin-Trottier L; | 36312536 BIOLOGY |
| 13 | Transparency and completeness of reporting of depression screening tool accuracy studies: A meta-research review of adherence to the Standards for Reporting of Diagnostic Accuracy Studies statement | Nassar EL; Levis B; Neyer MA; Rice DB; Booij L; Benedetti A; Thombs BD; | 36047034 PSYCHOLOGY |
| 14 | Perfluoroalkyl and polyfluoroalkyl substances (PFASs) in groundwater: current understandings and challenges to overcome | Zhao Z; Li J; Zhang X; Wang L; Wang J; Lin T; | 35593984 CHEMBIOCHEM |
| 15 | Sample size and precision of estimates in studies of depression screening tool accuracy: A meta-research review of studies published in 2018-2021 | Nassar EL; Levis B; Neyer MA; Rice DB; Booij L; Benedetti A; Thombs BD; | 35362161 PSYCHOLOGY |
| 16 | Inclusion of currently diagnosed or treated individuals in studies of depression screening tool accuracy: a meta-research review of studies published in 2018-2021 | Nassar EL; Levis B; Rice DB; Booij L; Benedetti A; Thombs BD; | 35334411 PSYCHOLOGY |
| 17 | Osseointegration Pharmacology: A Systematic Mapping Using Artificial Intelligence | Mahri M; Shen N; Berrizbeitia F; Rodan R; Daer A; Faigan M; Taqi D; Wu KY; Ahmadi M; Ducret M; Emami E; Tamimi F; | 33181361 CONCORDIA |
| 18 | Equivalency of the diagnostic accuracy of the PHQ-8 and PHQ-9: a systematic review and individual participant data meta-analysis | Wu Y; Levis B; Riehm KE; Saadat N; Levis AW; Azar M; Rice DB; Boruff J; Cuijpers P; Gilbody S; Ioannidis JPA; Kloda LA; McMillan D; Patten SB; Shrier I; Ziegelstein RC; Akena DH; Arroll B; Ayalon L; Baradaran HR; Baron M; Bombardier CH; Butterworth P; Carter G; Chagas MH; Chan JCN; Cholera R; Conwell Y; de Man-van Ginkel JM; Fann JR; Fischer FH; Fung D; Gelaye B; Goodyear-Smith F; Greeno CG; Hall BJ; Harrison PA; Härter M; Hegerl U; Hides L; Hobfoll SE; Hudson M; Hyphantis T; Inagaki M; Jetté N; Khamseh ME; Kiely KM; Kwan Y; Lamers F; Liu SI; Lotrakul M; Loureiro SR; Löwe B; McGuire A; Mohd-Sidik S; Munhoz TN; Muramatsu K; Osório FL; Patel V; Pence BW; Persoons P; Picardi A; Reuter K; Rooney AG; Santos IS; Shaaban J; Sidebottom A; Simning A; Stafford L; Sung S; Tan PLL; Turner A; van Weert HC; White J; Whooley MA; Winkley K; Yamada M; Benedetti A; Thombs BD; | 31298180 LIBRARY |
| 19 | Virtual screening, docking, and dynamics of potential new inhibitors of dihydrofolate reductase from Yersinia pestis. | Bastos Lda C, de Souza FR, Guimarães AP, Sirouspour M, Cuya Guizado TR, Forgione P, Ramalho TC, França TC | 26494420 CHEMISTRY |
| 20 | Diagnostic accuracy of the Depression subscale of the Hospital Anxiety and Depression Scale (HADS-D) for detecting major depression: protocol for a systematic review and individual patient data meta-analyses. | Thombs BD, Benedetti A, Kloda LA, Levis B, Azar M, Riehm KE, Saadat N, Cuijpers P, Gilbody S, Ioannidis JP, McMillan D, Patten SB, Shrier I, Steele RJ, Ziegelstein RC, Loiselle CG, Henry M, Ismail Z, Mitchell N, Tonelli M | 27075844 LIBRARY |
| 21 | Evolutionary Adaptation to Generate Mutants. | de Vries RP, Lubbers R, Patyshakuliyeva A, Wiebenga A, Benoit-Gelber I | 29876815 BIOLOGY |
| Title: | Simultaneous automated ascertainment of prevalent vertebral fracture and abdominal aortic calcification in clinical practice: role in fracture risk assessment | ||||
| Authors: | Schousboe JT, Lewis JR, Monchka BA, Reid SB, Davidson MJ, Kimelman D, Jozani MJ, Smith C, Sim M, Gilani SZ, Suter D, Leslie WD | ||||
| Link: | https://pubmed.ncbi.nlm.nih.gov/38699950/ | ||||
| DOI: | 10.1093/jbmr/zjae066 | ||||
| Publication: | Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research | ||||
| Keywords: | DXA; Fracture Risk Assessment; General Population Studies; Osteoporosis; Screening; | ||||
| PMID: | 38699950 | Category: | Date Added: | 2024-05-03 | |
| Dept Affiliation: |
ENCS
1 Park Nicollet Clinic and HealthPartners Institute, Minneapolis MN. 2 Division of Health Policy and Management, University of Minnesota, Minneapolis MN. 3 Nutrition & Health Innovation Research Institute, Edith Cowan University, Perth, Australia. 4 Medical School, University of Western Australia, Perth, Australia. 5 Centre for Kidney Research, School of Public Health, The University of Sydney, Sydney. 6 George & Fay Yee Centre for Healthcare Innovation, University of Manitoba, Winnipeg. 7 Department of Computer Science, Concordia University, Montreal, Canada. 8 Department of Medicine, University of Manitoba, Winnipeg, Canada. 9 Department of Statistics, University of Manitoba, Winnipeg, Canada. 10 Centre for AI & ML, School of Science, Edith Cowan University, Perth, Australia. 11 Computer Science and Software Engineering, University of Western Australia, Perth. |
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Description: |
Whether simultaneous automated ascertainments of prevalent vertebral fracture (auto-PVFx) and abdominal aortic calcification (auto-AAC) on vertebral fracture assessment (VFA) lateral spine bone density (BMD) images jointly predict incident fractures in routine clinical practice is unclear. We estimated the independent associations of auto-PVFx and auto-AAC primarily with incident major osteoporotic and secondarily with incident hip and any clinical fractures in 11 013 individuals (mean [SD] age 75.8 [6.8] years, 93.3% female) who had a BMD test combined with VFA between March 2010 and December 2017. Auto-PVFx and auto-AAC were ascertained using convolutional neural networks (CNNs). Proportional hazards models were used to estimate the associations of auto-PVFx and auto-AAC with incident fractures over a mean (SD) follow-up of 3.7 (2.2) years, adjusted for each other and other risk factors. At baseline, 17% (n = 1881) had auto-PVFx and 27% (n = 2974) had a high level of auto-AAC (= 6 on scale of 0 to 24). Multivariable-adjusted hazard ratios (HR) for incident major osteoporotic fracture (95% C.I.) were 1.85 (1.59, 2.15) for those with compared to those without auto-PVFx, and 1.36 (1.14, 1.62) for those with high compared to low auto-AAC. The multivariable-adjusted HRs for incident hip fracture were 1.62 (95% C.I. 1.26 to 2.07) for those with compared to those without auto-PVFx, and 1.55 (95% C.I. 1.15 to 2.09) for those high auto-AAC compared to low auto-AAC. The 5-year cumulative incidence of major osteoporotic fracture was 7.1% in those with no auto-PVFx and low auto-AAC, 10.1% in those with no auto-PVFx and high auto-AAC, 13.4% in those with auto-PVFx and low auto-AAC, and 18.0% in those with auto-PVFx and high auto-AAC. While physician manual review of images in clinical practice will still be needed to confirm image quality and provide clinical context for interpretation, simultaneous automated ascertainment of auto-PVFx and auto-AAC can aid fracture risk assessment. |
