Article in Science advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
0numbers the graph read from it
0cells of the map it votes in
4citing 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.
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
15 authors.
Kaidong WangDivision of Cardiology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA.ORCID 0000-0001-5196-9346
Shaolei WangDivision of Cardiology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA.ORCID 0000-0001-8991-0550
Samuel MargolisDivision of Cardiology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA.ORCID 0009-0003-0374-2739
Jae Min ChoDivision of Cardiology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA.ORCID 0000-0002-4461-6945
Enbo ZhuDivision of Cardiology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA.ORCID 0000-0001-8600-8553
Alexander DupuyDepartment of Haematology, Royal Prince Alfred Hospital, Sydney, New South Wales 2050, Australia.
Junyi YinDepartment of Bioengineering, Henry Samueli School of Engineering and Applied Science, University of California Los Angeles, Los Angeles, CA 90095, USA.ORCID 0000-0002-3511-111X
Seul-Ki ParkDivision of Cardiology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA.ORCID 0000-0001-7027-7679
Clara E MagyarDepartment of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA.ORCID 0000-0003-2261-0187
Oladunni B AdeyigaDivision of Infectious Diseases, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA.ORCID 0000-0003-0019-0169
Kristin Schwab JensenDivision of Pulmonary and Critical Care Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA.
John A BelperioDivision of Pulmonary and Critical Care Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA.ORCID 0000-0003-2379-5486
Freda PassamDepartment of Haematology, Royal Prince Alfred Hospital, Sydney, New South Wales 2050, Australia.ORCID 0000-0003-4584-2044
Peng ZhaoDivision of Cardiology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA.ORCID 0000-0002-6610-6217
Tzung K HsiaiDivision of Cardiology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA.ORCID 0000-0003-1734-0792
Funding
Shear Stress and Light-Sheets to Study Cardiac TrabeculationR01HL129727 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HSIAI, TZUNG K, MARSDEN, ALISON L · 2015 to 2024
$3.5M
Electronica Impedance to Access Metabolically Active PlaqueR01HL118650 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HSIAI, TZUNG K · 2014 to 2022
$3.3M
Intravascular Deployment of a Wirelessly Powered Micro-PacerR01HL149808 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Tzung K Hsiai · 2020 to 2026
$2.8M
Caltech/UCLA Individualized Theranostic Engineering to Advance Metabolic System (iTEAM)T32EB027629 · NIBIB · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Dino Di Carlo, Azita Emami · 2020 to 2026
$2.0M
Integrating Volumetric Light-Field with Computational Fluid Dynamics to Study Myocardial Trabeculation and FunctionR01HL159970 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HSIAI, TZUNG K, MARSDEN, ALISON L · 2021 to 2024
$2.0M
Exercise-Induced Shear Stress Modulates Metabolic Pathways for Vascular Repair and ProtectionI01BX004356 · VA · VA GREATER LOS ANGELES HEALTHCARE SYSTEM · PI HSIAI, TZUNG K · 2019 to 2024
The recent SARS-CoV-2 pandemic underscores the need for rapid and accurate prediction of clinical thrombotic events. Here, we developed nanoengineered multichannel immunosensors for rapid detection of circulating biomarkers associated with thrombosis, including C-reactive protein (CRP), calprotectin, soluble platelet selectin (sP-selectin), and D-dimer. We fabricated the immunosensors using fiber laser engraving of carbon nanotubes and CO
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.
Rapid prediction of acute thrombosis via nanoengineered immunosensors with unsupervised clustering for multiple circulating biomarkers. · full record | OpenQuestion