Evidence map›Paper›PMID 32853147›Full record

ArticleJournal of hospital medicine2020

Ultrabrief Screens for Detecting Delirium in Postoperative Cognitively Intact Older Adults.

Andrea Yevchak Sillner, Long Ngo, Yoojin Jung, Sharon K Inouye, Marie Boltz, Douglas Leslie, Edward R Marcantonio, Donna M Fick

Open access · greenAbstract read
In one paragraph

Article in Journal of hospital medicine, 2020. 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
0.5field-weighted citation impact, top 34% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. 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

8 authors at 3 institutions in 1 country.

Andrea Yevchak SillnerCollege of Nursing, The Pennsylvania State University, University Park, Pennsylvania.
Long NgoDepartment of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts.
Yoojin JungDepartment of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts.
Sharon K InouyeDepartment of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts.
Marie BoltzCollege of Nursing, The Pennsylvania State University, University Park, Pennsylvania.
Douglas LeslieDepartment of Public Health Sciences, College of Medicine, The Pennsylvania State University, Hershey, Pennsylvania.
Edward R MarcantonioDepartment of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts.
Donna M FickCollege of Nursing, The Pennsylvania State University, University Park, Pennsylvania.
Pennsylvania State University · USHarvard University · USBeth Israel Deaconess Medical Center · US

Funding

The Role of Inflammation in the Pathophysiology of Delirium and its Associated Long-Term Cognitive DeclineP01AG031720 · NIA · HEBREW REHABILITATION CENTER FOR AGED · PI MARCANTONIO, EDWARD R · 2010 to 2022
$26.7M
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
Supplement to Network for Investigation of Delirium across the U.S (NIDUS)R24AG054259 · NIA · HEBREW REHABILITATION CENTER FOR AGED · PI INOUYE, SHARON K. · 2016 to 2020
$4.3M
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 P01 AG031720NIA NIH HHS R01 AG030618NIA NIH HHS R24 AG054259
6 · The paper itself

Abstract

The authors' sought to develop an ultrabrief screen for postoperative delirium in cognitively intact patients older than 70 years undergoing major elective surgery. All possible combinations of one-, two- and three-item screens and their sensitivities, specificities, and 95% confidence intervals were calculated and compared with the delirium reference standard Confusion Assessment Method (CAM). Among the 560 participants (mean age, 77 years; 58% women), delirium occurred in 134 (24%). We considered 1,100 delirium assessments from postoperative days 1 and 2. The screen with the best overall performance consisted of three items: (1) Patient reports feeling confused, (2) Months of the year backward, and (3) "Does the patient appear sleepy?" with sensitivity of 92% and specificity of 72%. This brief, three-item screen rules out delirium quickly, identifies a subset of patients who require further testing, and may be an important tool to improve recognition of postoperative delirium.

Indexed as

Activities of Daily LivingDeliriumAgedElective Surgical ProceduresFemaleHumansMaleReproducibility of Results

Identifiers

PMID32853147
PMCPMC7489801
OpenAlexW3074514672

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.