Evidence map›Paper›PMID 20953403›Full record

ArticleCurrent gerontology and geriatrics research2010

Dynamic determinants of longevity and exceptional health.

Anatoli I Yashin, Konstantin G Arbeev, Igor Akushevich, Liubov Arbeeva, Julia Kravchenko, Dora Il'yasova, Alexander Kulminski, Lucy Akushevich, Irina Culminskaya, Deqing Wu and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Current gerontology and geriatrics research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

16 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
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  5. Dynamics of biomarkers in relation to aging and mortality.Mechanisms of ageing and development · 2016
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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

11 authors at 3 institutions in 1 country.

Anatoli I YashinCenter for Population Health and Aging, Duke University, Durham, NC 27708, USA.
Konstantin G Arbeev
Igor Akushevich
Liubov Arbeeva
Julia Kravchenko
Dora Il'yasova
Alexander Kulminski
Lucy Akushevich
Irina Culminskaya
Deqing Wu
Svetlana V Ukraintseva
Duke Medical Center · USDuke University · USCenter for Child and Family Health · US

Funding

DYNAMIC DETERMINANTS OF EXCEPTIONAL HEALTH AT LATE AGESR01AG027019 · NIA · DUKE UNIVERSITY · PI YASHIN, ANATOLIY I · 2006 to 2009
$1.4M
Healthy Life at Risk: The Role of SenescenceR01AG028259 · NIA · DUKE UNIVERSITY · PI YASHIN, ANATOLIY I · 2005 to 2009
$1.2M
NIA NIH HHS R01 AG027019NIA NIH HHS R01 AG028259
6 · The paper itself

Abstract

It is well known from epidemiology that values of indices describing physiological state in a given age may influence human morbidity and mortality risks. Studies of connection between aging and life span suggest a possibility that dynamic properties of age trajectories of the physiological indices could also be important contributors to morbidity and mortality risks. In this paper we use data on longitudinal changes in body mass index, diastolic blood pressure, pulse pressure, pulse rate, blood glucose, hematocrit, and serum cholesterol in the Framingham Heart Study participants, to investigate this possibility in depth. We found that some of the variables describing individual dynamics of the age-associated changes in physiological indices influence human longevity and exceptional health more substantially than the variables describing physiological state. These newly identified variables are promising targets for prevention aiming to postpone onsets of common elderly diseases and increase longevity.

Identifiers

PMID20953403
PMCPMC2952789
OpenAlexW2171396045

What OpenQuestion holds

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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 OpenQuestion graph.