In one paragraphArticle in medRxiv : the preprint server for health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from itWhat 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 registryThe 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.
3 · Its place in the literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
13 authors.
N K NadkarniDepartment of Medicine (Division of Geriatric Medicine), and Neurology, University of Pittsburgh, Pittsburgh PA.ORCID 0000-0002-4363-1553 D MartinezDepartments of Medicine and Epidemiology, Columbia University Irving Medical Center, New York, NY.ORCID 0009-0002-1101-5825 M TemprosaBiostatistics Center and Department of Biostatistics and Bioinformatics, Milken Institute of Public Health, George Washington University, Bethesda, MD.ORCID 0000-0002-9976-745X A BowersBiostatistics Center and Department of Biostatistics and Bioinformatics, Milken Institute of Public Health, George Washington University, Bethesda, MD.ORCID 0009-0006-0880-7310 L DohertyBiostatistics Center and Department of Biostatistics and Bioinformatics, Milken Institute of Public Health, George Washington University, Bethesda, MD.ORCID 0000-0002-5740-0422 G J FebresDepartments of Medicine and Epidemiology, Columbia University Irving Medical Center, New York, NY.ORCID 0009-0002-1552-8791 H SherifBiostatistics Center and Department of Biostatistics and Bioinformatics, Milken Institute of Public Health, George Washington University, Bethesda, MD.ORCID 0009-0004-9979-6965 J A LuchsingerDepartments of Medicine and Epidemiology, Columbia University Irving Medical Center, New York, NY.ORCID 0000-0002-5886-3648 Funding
PRIMARY PREVENTION TRIAL--DATA COORDINATING CENTERU01DK048489 · NIDDK · GEORGE WASHINGTON UNIVERSITY · PI JABLONSKI, KATHLEEN ANN, TEMPROSA, MARINELLA · 1994 to 2021
$84.8MPhysical activity, physical function, and frailty in relation to cognitive impairment and AD/ADRD biomarkers in DPPOSU19AG078558 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Jose Alejandro Luchsinger, DAVID M NATHAN · 2022 to 2026
$82.5MPost-DDP Follow-up StudyU01DK048413 · NIDDK · UNIVERSITY OF WASHINGTON · PI KAHN, STEVEN EMANUEL · 1994 to 2021
$13.7MPRIMARY PREVENTION TRIAL (DPT-2)U01DK048397 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI NATHAN, DAVID M · 1994 to 2021
$12.0MNIDDM PRIMARY PREVENTION TRIAL (DPT 2)U01DK048404 · NIDDK · ST. LUKE'S-ROOSEVELT INST FOR HLTH SCIS · PI LAFERRERE, BLANDINE B · 1994 to 2021
$11.6MPRIMARY PREVENTION TRIAL (DPT-2)U01DK048339 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ARANETA, MARIA ROSARIO GORREZ, MUDALIAR, SUNDER · 1994 to 2022
$11.4MNIDDM PRIMARY PREVENTION TRIALU01DK048412 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI VENDITTI, ELIZABETH MARY · 1994 to 2021
$11.4MPRIMARY PREVENTION TRIALU01DK048387 · NIDDK · MEDSTAR RESEARCH INSTITUTE · PI MAGEE, MICHELLE FISCHMANN · 1994 to 2022
$11.1MTITLE OMITTEDU01DK048349 · NIDDK · YESHIVA UNIVERSITY · PI CRANDALL, JILL P · 1994 to 2021
$11.0MPRIMARY PREVENTION TRIALU01DK048443 · NIDDK · UNIVERSITY OF SOUTHERN CALIFORNIA · PI WATSON, KAROL E · 1994 to 2021
$10.2MPost-DPP Follow-up StudyU01DK048375 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI DABELEA, DANA · 1994 to 2022
$10.0MPost-Diabetes Prevention Program (DPP)U01DK048381 · NIDDK · UNIVERSITY OF CHICAGO · PI EHRMANN, DAVID A · 1994 to 2021
$9.6MNIA NIH HHS U19 AG078558NIDDK NIH HHS U01 DK048339NIDDK NIH HHS U01 DK048349NIDDK NIH HHS U01 DK048375NIDDK NIH HHS U01 DK048377NIDDK NIH HHS U01 DK048380NIDDK NIH HHS U01 DK048381NIDDK NIH HHS U01 DK048387NIDDK NIH HHS U01 DK048397NIDDK NIH HHS U01 DK048400NIDDK NIH HHS U01 DK048404NIDDK NIH HHS U01 DK048406NIDDK NIH HHS U01 DK048407NIDDK NIH HHS U01 DK048411NIDDK NIH HHS U01 DK048412NIDDK NIH HHS U01 DK048413NIDDK NIH HHS U01 DK048434NIDDK NIH HHS U01 DK048437NIDDK NIH HHS U01 DK048443NIDDK NIH HHS U01 DK048468NIDDK NIH HHS U01 DK048485NIDDK NIH HHS U01 DK048489NIDDK NIH HHS U01 DK048514
6 · The paper itselfAbstract
Introduction: The Diabetes Prevention Program Outcomes Study (DPPOS) is an established cohort of aging persons with pre-diabetes and type 2 diabetes with 25 years of median follow-up. In 2022 DPPOS added Alzheimer's disease (AD), and AD related dementias (ADRD) phenotyping using the National Alzheimer's Coordinating Center (NACC) Uniform Data Set (UDSv3), which included a standardized neurological examination across 25 clinical sites, administered by clinical staff and interpreted centrally by clinicians. Methods: A DPPOS video-based asynchronous neurological examination (DPPOS-VANE) was developed iteratively through consensus from research clinicians and staff feedback to harmonize with UDSv3 to identify common neurological diagnoses aside from dementia including diabetic cranial neuropathies, stroke and parkinsonism. DPPOS-VANE was designed to be conducted without direct participant contact by the examiner, reproducible, and independent of clinical skills of PCs. An iPad Discussion: Engaging 55 research staff across 25 sites and 3 physician-reviewers, this study is the first to demonstrate feasibility of a VANE as an efficient neurological examination model enabled by commonly used devices. Such a multisite standardized VANE represents a novel paradigm for large epidemiological studies.
Identifiers
PMID42528526
PMCPMC13409267
What Socratic holds
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