Evidence map›Paper›PMID 28977343›Full record

Observational studyThe journals of gerontology. Series A, Biological sciences and medical sciences2018

Trajectories of IGF-I Predict Mortality in Older Adults: The Cardiovascular Health Study.

Jason L Sanders, Wensheng Guo, Ellen S O'Meara, Robert C Kaplan, Michael N Pollak, Traci M Bartz, Anne B Newman, Linda P Fried, Anne R Cappola

Open access · bronzeAbstract readObservational Study
In one paragraph

Observational study in The journals of gerontology. Series A, Biological sciences and medical sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

17 citing papers in PubMed, 23 citations in OpenAlex.

  1. Trial
  2. Does Allostatic Load in 50-89-Year-Olds Predict the Development of Frailty? Evidence From a National Longitudinal Study Over 12 Years.Stress and health : journal of the International Society for the Investigation of Stress · 2025
    Article
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  14. IGF-1 and cardiovascular disease.Growth hormone & IGF research : official journal of the Growth Hormone Research Society and the International IGF Research Society · 2019
    Review
  15. Article
  16. Association of Biomarker and Physiologic Indices With Mortality in Older Adults: Cardiovascular Health Study.The journals of gerontology. Series A, Biological sciences and medical sciences · 2019
    Article
  17. 40 YEARS of IGF1: IGF1: the Jekyll and Hyde of the aging brain.Journal of molecular endocrinology · 2018
    Review
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

9 authors at 8 institutions in 2 countries.

Jason L SandersDepartment of Medicine, Massachusetts General Hospital, Boston.
Wensheng GuoDivision of Biostatistics, Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia.
Ellen S O'MearaKaiser Permanente Washington Health Research Institute, Seattle.
Robert C KaplanDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York.
Michael N PollakCancer Prevention Research Unit, Departments of Medicine and Oncology, Lady Davis Research Institute of Jewish General Hospital and McGill University, Montreal, Quebec, Canada.
Traci M BartzDepartment of Biostatistics, University of Washington, Seattle.
Anne B NewmanDepartment of Epidemiology, University of Pittsburgh, Pennsylvania.
Linda P FriedDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York.
Anne R CappolaDivision of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia.
University of Pennsylvania · USAlbert Einstein College of Medicine · USColumbia University · USKaiser Permanente Washington Health Research Institute · USMassachusetts General Hospital · USMcGill University · CAUniversity of Pittsburgh · USUniversity of Washington · US

Funding

VARIABILITY, STABILITY & SMOOTHNESS OF WALKINGP30AG024827 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI JENNIFER S BRACH · 2004 to 2026
$28.6M
Translational Research CoreP30DK020541 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI STREAMSON C CHUA · 2015 to 2026
$27.7M
Exceptional Survival: Trajectories to Functional Aging (CHS All Stars)R01AG023629 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI NEWMAN, ANNE B. · 2004 to 2016
$9.5M
Epidemiology of IGF's and AgingR01AG031890 · NIA · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI KAPLAN, ROBERT C · 2009 to 2012
$2.3M
Hormonal trajectories in agingR01AG027058 · NIA · UNIVERSITY OF PENNSYLVANIA · PI CAPPOLA, ANNE R · 2006 to 2009
$1.2M
CHS-Transition PhaseN01HC55222 · NHLBI · PI , · 2007 to 2007
$575k
CHS-ULTRASOUND READINGN01HC045133 · HC · GEISINGER HEALTH SYSTEM · PI O'LEARY, DANIEL H. · 1994 to 2000
$155k
Epidemiology of lens aging in older womenF30AG038093 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SANDERS, JASON LEIGH · 2010 to 2013
$141k
CARDIOVASCULAR HEALTH STUDY-ECHOCARDIOGRAPHY READING CTRN01HC035129 · HC · GEORGETOWN UNIVERSITY · PI GOTTDIENER, JOHN S. · 1993 to 2001
–
MRI READING CENTER FOR THE CARDIOVASCULAR HEALTH STUDYN01HC015103 · HC · JOHNS HOPKINS UNIVERSITY · PI BEAUCHAMP, NORMAN J · 1991 to 1998
–
NHLBI NIH HHS HHSN268201200036CNHLBI NIH HHS N01 HC015103NHLBI NIH HHS N01 HC035129NHLBI NIH HHS N01 HC045133NHLBI NIH HHS N01HC55222NHLBI NIH HHS N01HC75150NHLBI NIH HHS N01HC85079NHLBI NIH HHS N01HC85086NIA NIH HHS F30 AG038093NIA NIH HHS P30 AG024827NIA NIH HHS R01 AG023629NIA NIH HHS R01 AG027058NIA NIH HHS R01 AG031890NIDDK NIH HHS P30 DK020541
6 · The paper itself

Abstract

Background: Disruption of insulin-like growth factor-I (IGF-I) increases health and life span in animal models, though this is unconfirmed in humans. If IGF-I stability indicates homeostasis, the absolute level of IGF-I may be less clinically relevant than maintaining an IGF-I setpoint. Methods: Participants were 945 U.S. community-dwelling individuals aged ≥65 years enrolled in the Cardiovascular Health Study with IGF-I levels at 3-6 timepoints. We examined the association of baseline IGF-I level, trajectory slope, and variability around the trajectory with mortality. Results: There were 633 deaths over median 11.3 years of follow-up. Lower IGF-I levels, declining or increasing slope, and increasing variability were each individually associated with higher mortality (all p < .001). In an adjusted model including all three trajectory parameters, baseline IGF-I levels <70 ng/mL (hazard ratio [HR] 1.58, 95% CI 1.28-1.96 relative to IGF-I levels of 170 ng/mL), steep declines and steep increases in trajectory slope (HR 2.22, 1.30-3.80 for a 15% decline; HR 1.40, 1.07-1.84 for a 10% decline; HR 1.80, 1.12-2.89 for a 15% increase; HR 1.31, 1.00-1.72 for a 10% increase, each vs no change), and variability ≥10% (HR 1.59, 1.09-2.32 for ≥ 30%; HR 1.36, 1.06-1.75 for 20%; and HR 1.17, 1.03-1.32 for 10% variability, each vs 0%) in IGF-I levels were independently associated with mortality. Conclusions: In contrast to data from animal models, low IGF-I levels are associated with higher mortality in older humans. Irrespective of the actual IGF-I level, older individuals with stability of IGF-I levels have lower mortality than those whose IGF-I levels fluctuate over time.

Indexed as

AgedAged, 80 and overAgingAnimalsBiomarkersCardiovascular DiseasesCohort StudiesFemaleHumansIndependent LivingInsulin-Like Growth Factor ILongevityLongitudinal StudiesMaleProportional Hazards ModelsRisk FactorsBiomarkersIGF1 protein, humanInsulin-Like Growth Factor I

Identifiers

PMID28977343
PMCPMC6001890
OpenAlexW2738160457

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.