Evidence map›Paper›PMID 32211364›Full record

ArticleFrontiers in public health2020

Composite Measure of Physiological Dysregulation as a Predictor of Mortality: The Long Life Family Study.

Konstantin G Arbeev, Olivia Bagley, Svetlana V Ukraintseva, Hongzhe Duan, Alexander M Kulminski, Eric Stallard, Deqing Wu, Kaare Christensen, Mary F Feitosa, Bharat Thyagarajan and 2 more

Abstract read
In one paragraph

Article in Frontiers in public health, 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
–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

4 citing papers in PubMed.

  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

12 authors.

Konstantin G ArbeevBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, United States.
Olivia BagleyBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, United States.
Svetlana V UkraintsevaBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, United States.
Hongzhe DuanBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, United States.
Alexander M KulminskiBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, United States.
Eric StallardBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, United States.
Deqing WuBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, United States.
Kaare ChristensenDanish Aging Research Center, Department of Public Health, University of Southern Denmark, Odense, Denmark.
Mary F FeitosaDivision of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO, United States.
Bharat ThyagarajanDepartment of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, United States.
Joseph M ZmudaDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, PA, United States.
Anatoliy I YashinBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, United States.

Funding

The Long Life Family StudyU19AG063893 · NIA · WASHINGTON UNIVERSITY · PI Stacy Andersen, KAARE CHRISTENSEN · 2019 to 2026
$125.4M
Long Life Family Study: Data Management and Coordinating CenterU01AG023746 · NIA · WASHINGTON UNIVERSITY · PI PROVINCE, MICHAEL A. · 2004 to 2018
$29.2M
Plasma beta-amyloid in long lived families: genetics and risk of ADU01AG023749 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI COSENTINO, STEPHANIE ANN, LEE, JOSEPH HYUNGWOO · 2004 to 2018
$13.0M
STALLARD Admin Supp: Predicting Future Care Needs and Costs for Individual Medicare Enrollees with Incident Suspected Alzheimer's DiseaseP30AG034424 · NIA · DUKE UNIVERSITY · PI Herman Pontzer · 2009 to 2026
$12.2M
Long Life Family Study: Duke Univ./Univ. of Southern Denmark Field CenterU01AG023712 · NIA · DUKE UNIVERSITY · PI CHRISTENSEN, KAARE · 2004 to 2018
$10.4M
Relationships among Genetic Regulators of Aging Health and LifespanP01AG043352 · NIA · DUKE UNIVERSITY · PI YASHIN, ANATOLIY I · 2014 to 2018
$8.7M
Understanding Alzheimer's Disease in the Context of the AgingR01AG062623 · NIA · DUKE UNIVERSITY · PI OUKRAINTSEVA, SVETLANA V. · 2019 to 2023
$3.6M
Genetics of changes in population pyramids: Implications for health forecasting with a focus on Alzheimer's Disease and related dementiasRF1AG046860 · NIA · DUKE UNIVERSITY · PI YASHIN, ANATOLIY I · 2019 to 2019
$3.1M
Explanations of Racial Disparities in Active LifeR03HD050374 · NICHD · PRINCETON UNIVERSITY · PI LYNCH, SCOTT M · 2005 to 2006
$156k
NIA NIH HHS P01 AG043352NIA NIH HHS P30 AG034424NIA NIH HHS R01 AG062623NIA NIH HHS RF1 AG046860NIA NIH HHS U01 AG023712NIA NIH HHS U01 AG023746NIA NIH HHS U01 AG023749NIA NIH HHS U19 AG063893NICHD NIH HHS R03 HD050374
6 · The paper itself

Abstract

Biological aging results in changes in an organism that accumulate over age in a complex fashion across different regulatory systems, and their cumulative effect manifests in increased physiological dysregulation (PD) and declining robustness and resilience that increase risks of health disorders and death. Several composite measures involving multiple biomarkers that capture complex effects of aging have been proposed. We applied one such approach, the Mahalanobis distance (D

Indexed as

AgingLongevityBiomarkersHumansProportional Hazards ModelsROC CurveBiomarkersagingdeficits indexLong Life Family Studymortalityphysiological dysregulationpredictionstatistical distance

Identifiers

PMID32211364
PMCPMC7067825

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.