Evidence map›Paper›PMID 36722177›Full record

ArticleJournal of the American Geriatrics Society2023

A pilot study testing the iOS UB-CAM delirium app.

Ashley Kuzmik, John Hannan, Marie Boltz, Priyanka Shrestha, Erica K Husser, Donna M Fick, Edward R Marcantonio

Abstract readLetter
In one paragraph

Article in Journal of the American Geriatrics Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Guideline
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

7 authors.

Ashley KuzmikRoss and Carol Nese College of Nursing, The Pennsylvania State University, University Park, Pennsylvania, USA.ORCID 0000-0002-2921-6767
John HannanDepartment of Computer Science & Engineering, The Pennsylvania State University, University Park, Pennsylvania, USA.
Marie BoltzRoss and Carol Nese College of Nursing, The Pennsylvania State University, University Park, Pennsylvania, USA.ORCID 0000-0003-1133-2249
Priyanka ShresthaSchool of Nursing, George Washington University, Washington, DC, USA.ORCID 0000-0003-3817-747X
Erica K HusserRoss and Carol Nese College of Nursing, The Pennsylvania State University, University Park, Pennsylvania, USA.ORCID 0000-0002-0799-5122
Donna M FickRoss and Carol Nese College of Nursing, The Pennsylvania State University, University Park, Pennsylvania, USA.ORCID 0000-0002-6777-1913
Edward R MarcantonioDivisions of General Medicine and Gerontology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0002-2911-4250

Funding

READI-SET-GO: Researching Efficient Approaches to Delirium Identification - Sustaining Effective Translation to create Gero-friendly OrganizationsR01AG030618 · NIA · PENNSYLVANIA STATE UNIVERSITY, THE · PI DONNA Marie FICK, EDWARD R MARCANTONIO · 2008 to 2026
$7.9M
Reducing Disability via a Family-centered Intervention for Acutely-ill Persons with Alzheimer's Disease and Related DementiasR01AG054425 · NIA · PENNSYLVANIA STATE UNIVERSITY, THE · PI BOLTZ, MARIE · 2017 to 2021
$2.8M
Mid-Career Mentoring Award for Patient-Oriented Research in AgingK24AG035075 · NIA · BETH ISRAEL DEACONESS MEDICAL CENTER · PI MARCANTONIO, EDWARD R · 2010 to 2021
$1.9M
NIA NIH HHS K24 AG035075NIA NIH HHS R01 AG030618NIA NIH HHS R01 AG054425
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

DeliriumMobile ApplicationsHumansIntensive Care UnitsPilot ProjectsReproducibility of Results

Identifiers

PMID36722177
PMCPMC10258118

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.