Evidence map›Paper›PMID 39897457›Full record

ArticleFrontiers in aging neuroscience2024

Application of the Uniform Data Set version 3 tele-adapted test battery (T-cog) for remote cognitive assessment preoperatively in older adults.

Mika M Rockholt, Rachel R Wu, Elaine Zhu, Raven Perez, Hamleini Martinez, Jessica J Hui, Ekow B Commeh, Romario B Denoon, Gabrielle Bruno, Braden V Saba and 11 more

Abstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Trial
4 · The record

Corrections and comments

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

21 authors.

Mika M Rockholt *Department of Anesthesiology, Perioperative Care, Pain Medicine, New York University Grossman School of Medicine, New York, NY, United States.
Rachel R Wu *Department of Anesthesiology, Perioperative Care, Pain Medicine, New York University Grossman School of Medicine, New York, NY, United States.
Elaine ZhuDepartment of Anesthesiology, Perioperative Care, Pain Medicine, New York University Grossman School of Medicine, New York, NY, United States.
Raven PerezDepartment of Anesthesiology, Perioperative Care, Pain Medicine, New York University Grossman School of Medicine, New York, NY, United States.
Hamleini MartinezDepartment of Anesthesiology, Perioperative Care, Pain Medicine, New York University Grossman School of Medicine, New York, NY, United States.
Jessica J HuiInterdisciplinary Pain Research Program, New York University Grossman School of Medicine, New York, NY, United States.
Ekow B CommehDepartment of Anesthesiology, Perioperative Care, Pain Medicine, New York University Grossman School of Medicine, New York, NY, United States.
Romario B DenoonDepartment of Anesthesiology, Perioperative Care, Pain Medicine, New York University Grossman School of Medicine, New York, NY, United States.
Gabrielle BrunoDepartment of Orthopedic Surgery, New York University Grossman School of Medicine, New York, NY, United States.
Braden V SabaDepartment of Orthopedic Surgery, New York University Grossman School of Medicine, New York, NY, United States.
Daniel WarenDepartment of Orthopedic Surgery, New York University Grossman School of Medicine, New York, NY, United States.
Courtney O'BrienDepartment of Psychiatry, New York University Grossman School of Medicine, New York, NY, United States.
Vinay K AggarwalDepartment of Orthopedic Surgery, New York University Grossman School of Medicine, New York, NY, United States.
Joshua C RozellDepartment of Orthopedic Surgery, New York University Grossman School of Medicine, New York, NY, United States.
David FurgiueleDepartment of Anesthesiology, Perioperative Care, Pain Medicine, New York University Grossman School of Medicine, New York, NY, United States.
William MacaulayDepartment of Orthopedic Surgery, New York University Grossman School of Medicine, New York, NY, United States.
Ran SchwarzkopfDepartment of Orthopedic Surgery, New York University Grossman School of Medicine, New York, NY, United States.
Evan T SchulzeDepartment of Neurology, New York University Grossman School of Medicine, New York, NY, United States.
Ricardo S OsorioDepartment of Psychiatry, New York University Grossman School of Medicine, New York, NY, United States.
Lisa V DoanDepartment of Anesthesiology, Perioperative Care, Pain Medicine, New York University Grossman School of Medicine, New York, NY, United States.
Jing WangDepartment of Anesthesiology, Perioperative Care, Pain Medicine, New York University Grossman School of Medicine, New York, NY, United States.

Funding

Research Education ComponentP30AG066512 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Mary Sherman Mittelman · 2020 to 2026
$28.4M
NIA NIH HHS P30 AG066512
6 · The paper itself

Abstract

Introduction: Older adults undergoing surgery are at risk of postoperative neurocognitive disorders, prompting the need for preoperative cognitive screening in this population. Traditionally, cognitive screening has been conducted in-person using brief assessment tools such as the Montreal Cognitive Assessment (MoCA) or the Mini-Mental State Examination (MMSE). More comprehensive test batteries, such as the Uniform Data Set (UDS) Neuropsychological Battery, and its remote testing version, the Uniform Data Set version 3 tele-adapted test battery (UDS v3.0 T-cog), have been developed to assess cognitive decline in normal aging and disease conditions, but have not been applied in the perioperative setting. Methods: We assessed the feasibility of using this remote UDS v3.0 T-cog battery for preoperative cognitive assessment in 81 older adults 65+ scheduled for lower extremity joint replacement surgery. Results: Our results indicate that the UDS v3.0 T-cog achieves 99% completion rates and demonstrates high patient satisfaction. Further, we found 28% of subjects were cognitively impaired in this patient cohort. Discussion: These findings suggest that the UDS v3.0 T-cog is a feasible tool for assessing cognitive function in the older adult perioperative population. To our knowledge, this is the first study to apply this comprehensive remote test battery in the preoperative setting.

Indexed as

feasibilityneurocognitive disordersneurocognitive dysfunctionperioperative cognitive dysfunctionremote cognitive assessmentscreening

Identifiers

PMID39897457
PMCPMC11782117

What OpenQuestion holds

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Registered trials

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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.