Evidence map›Paper›PMID 31413973›Full record

ReviewJournal of patient-centered research and reviews2017

Models for Predicting Incident Delirium in Hospitalized Older Adults: A Systematic Review.

Sundeep Kalimisetty, Wajih Askar, Brenda Fay, Ariba Khan

Open access · diamondAbstract readReview
In one paragraph

Review in Journal of patient-centered research and reviews, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
0.2field-weighted citation impact, top 49% of its field
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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Observational
  4. Article
  5. Treatment paradigms in Parkinson's Disease and Covid-19.International review of neurobiology · 2022
    Article
  6. Can Variables From the Electronic Health Record Identify Delirium at Bedside?Journal of patient-centered research and reviews · 2022
    Article
  7. Spotlight on non-motor symptoms and Covid-19.International review of neurobiology · 2022
    Article
  8. Article
  9. Article
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

4 authors at 1 institution in 1 country.

Sundeep KalimisettyDepartment of Geriatrics, Aurora Health Care, Milwaukee, WI.
Wajih AskarDepartment of Geriatrics, Aurora Health Care, Milwaukee, WI.
Brenda FayAurora Libraries, Aurora Health Care, Milwaukee, WI.
Ariba KhanDepartment of Geriatrics, Aurora Health Care, Milwaukee, WI.
Aurora Health Care · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe purpose of this systematic review is to summarize the reported risk prediction models and identify the most prevalent factors for incident delirium in older inpatient populations (age ≥ 65 years). In the future, these risk factors could be used to develop a delirium risk prediction model in the electronic health record that can be used by the Hospital Elder Life Program to reduce the incidence of delirium.

methodsA medical librarian customized and conducted a search strategy for all published articles on delirium prediction models using an array of electronic databases and specific inclusion and exclusion criteria. Then, a geriatrician and two research associates assessed the quality of the selected studies using the Newcastle-Ottawa Scale (NOS).

resultsA total of 4,351 articles were identified from initial literature search. After review, data were extracted from 12 studies. The quality of these studies was assessed using NOS and ranged from 4 to 8. The most common risk factors reported were dementia, decreased functional status, high blood urea nitrogen-to-creatinine ratio, infection and severe illness.

conclusionsThe most prevalent factors associated with incidence of delirium in hospitalized older patients identified by this systematic review could be used to develop an electronic health record-generated risk prediction model to identify inpatients at risk of developing delirium.

Indexed as

altered mental statuscognitive impairmentdeliriumHospital Elder Life Programhospitalized older adultsincidenceinpatientrisk factors

Identifiers

PMID31413973
PMCPMC6664369
OpenAlexW2532771125

What OpenQuestion holds

Textmetadata
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.