Evidence map›Paper›PMID 32356919›Full record

ArticleJournal of the American Geriatrics Society2020

Integration of an Objective Cognitive Assessment Into a Prognostic Index for 5-Year Mortality Prediction.

Ashwin A Kotwal, Sei J Lee, William Dale, W John Boscardin, Linda J Waite, Alexander K Smith

Abstract read
In one paragraph

Article in Journal of the American Geriatrics Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. 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

6 authors.

Ashwin A KotwalDivision of Geriatrics, Department of Medicine, University of California, San Francisco, School of Medicine, San Francisco, California, USA.ORCID 0000-0002-6137-8512
Sei J LeeDivision of Geriatrics, Department of Medicine, University of California, San Francisco, School of Medicine, San Francisco, California, USA.
William DaleDepartment of Supportive Care Medicine, City of Hope National Medical Center, Duarte, California, USA.
W John BoscardinDivision of Geriatrics, Department of Medicine, University of California, San Francisco, School of Medicine, San Francisco, California, USA.
Linda J WaiteDepartment of Sociology, University of Chicago, Chicago, Illinois, USA.
Alexander K SmithDivision of Geriatrics, Department of Medicine, University of California, San Francisco, School of Medicine, San Francisco, California, USA.

Funding

National Social Life, Health, and Aging Project: Round 5R01AG048511 · NIA · NATIONAL OPINION RESEARCH CENTER · PI LINDA J WAITE · 2014 to 2026
$49.5M
National Social Life, Health and Aging: Wave 4R01AG043538 · NIA · NATIONAL OPINION RESEARCH CENTER · PI LINDA J WAITE · 2013 to 2026
$42.7M
VARC CoreP30AG044281 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Louise C. Walter · 2013 to 2026
$19.9M
Unnecessary and Harmful Medication Use in Older Adults with DementiaP01AG066605 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI R. Sean Morrison · 2020 to 2026
$17.7M
National Social Life, Health, and Aging Project: Anaylsis of Wave 1 and Wave 2R37AG030481 · NIA · NATIONAL OPINION RESEARCH CENTER · PI WAITE, LINDA J · 2008 to 2017
$15.4M
Prognostic calculators for patients with Alzheimers disease and related dementiasR01AG057751 · NIA · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI LEE, SEI, SMITH, ALEXANDER KELIIMOEANU · 2018 to 2021
$1.5M
Loneliness and Social Isolation Among Older Adults with and without Alzheimer's Disease and Related Dementia in the Last Years of LifeK23AG065438 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KOTWAL, ASHWIN AJIT · 2020 to 2024
$809k
Loneliness and Social Isolation among Older Adults in the Last Years of LIfeR03AG064323 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KOTWAL, ASHWIN AJIT · 2019 to 2020
$242k
Development and Validation of 10-Year Life Expectancy Calculators to Individualize Veterans’ Prevention DecisionsI01HX002135 · VA · VETERANS AFFAIRS MED CTR SAN FRANCISCO · PI LEE, SEI · 2018 to 2021
–
HSRD VA I01 HX002135NIA NIH HHS K23 AG065438NIA NIH HHS P01 AG066605NIA NIH HHS P30 AG044281NIA NIH HHS R01 AG043538NIA NIH HHS R01 AG048511NIA NIH HHS R01 AG057751NIA NIH HHS R03 AG064323NIA NIH HHS R37 AG030481NIH HHS R01AG043538NIH HHS R01AG043538; R01AG048511; R37AG030481NIH HHS R01AG0477897NIH HHS R01AG057751NIH HHS R03AG064323
6 · The paper itself

Abstract

BACKGROUND/

objectivesPrognostic indices rarely include cognition. We determined if a comprehensive cognitive screen or brief individual items were associated with improved mortality predictions of a widely used prognostic index. DESIGN, SETTING, AND

participantsThe National Social Life Health and Aging Project Wave 2, a nationally representative, cross-sectional, in-home survey conducted in 2010 to 2011 on 3,199 community-dwelling adults aged 60 to 99 years. MEASUREMENTS: Cognition was measured using a Survey-Adapted Montreal Cognitive Assessment (MoCA-SA) grouped into three screened categories: screen normal (≥24 points), screen positive for mild cognitive impairment (18-23 points), and screen positive for dementia (<18 points). Single-item cognitive measures included clock-draw and five-word delayed recall. We constructed a modified Lee Prognostic Index (range = 0-18 points) based on age, behavior, function, and comorbidities shown to predict long-term mortality. We used logistic regression and the fraction of new information provided to determine if each cognitive measure improved the Lee index's 5-year mortality prediction.

resultsThe sample was 54% female and had a mean age of 72 years, MoCA-SA score of 22 (SD = 4.5), and Lee index of 7 (SD = 3). Regression analysis indicated the MoCA-SA modestly improved the Lee index's mortality prediction (P < .001; fraction of new information provided = 0.06); for low Lee index scores (<4 points), the absolute mortality rate difference was 7% by cognitive status; and for higher Lee index scores (4-7 points or 8-12 points), the absolute mortality rate difference was 15% by cognitive status. The clock-draw and delayed-recall items added similar value to mortality predictions as the longer MoCA-SA. Cognition had the third highest fraction of new information of all 13 Lee index items.

conclusionIncorporating a brief measure of cognition into a modified Lee index, even with single items, resulted in more accurate 5-year mortality risk predictions. Cognition should be included in prognostic calculators in older adults given its independent association with mortality risk. J Am Geriatr Soc 68:1796-1802, 2020.

Indexed as

Health Status IndicatorsAgedAged, 80 and overAgingCognitionCognitive DysfunctionCross-Sectional StudiesFemaleGeriatric AssessmentHumansIndependent LivingMaleMental CompetencyMental Status and Dementia TestsMiddle AgedPredictive Value of Tests

Identifiers

PMID32356919
PMCPMC8189656

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.