Evidence map›Paper›PMID 29020384›Full record

ArticleEuropean heart journal2017

Fibrosis as measured by the biomarker, tissue inhibitor metalloproteinase-1, predicts mortality in Age Gene Environment Susceptibility-Reykjavik (AGES-Reykjavik) Study.

Gina LaRocca, Thor Aspelund, Anders M Greve, Gudny Eiriksdottir, Tushar Acharya, Gudmundur Thorgeirsson, Tamara B Harris, Lenore J Launer, Vilmundur Gudnason, Andrew E Arai

Abstract read
In one paragraph

Article in European heart journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  11. As time flies by: Investigating cardiac aging in the short-lived Drosophila model.Biochimica et biophysica acta. Molecular basis of disease · 2019
    Review
  12. Proteases: Pivot Points in Functional Proteomics.Methods in molecular biology (Clifton, N.J.) · 2019
    Review
  13. Article
  14. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Gina LaRoccaDepartment of Health and Human Services, National Heart, Lung, and Blood, National Institutes of Health, Building 10, Room B1D416, MSC 1061, 10 Center Drive, Bethesda, MD 20892-1061, USA.
Thor AspelundIcelandic Heart Association, Holtasmari 1, Kopavogur, Iceland.
Anders M GreveDepartment of Health and Human Services, National Heart, Lung, and Blood, National Institutes of Health, Building 10, Room B1D416, MSC 1061, 10 Center Drive, Bethesda, MD 20892-1061, USA.
Gudny EiriksdottirIcelandic Heart Association, Holtasmari 1, Kopavogur, Iceland.
Tushar AcharyaDepartment of Health and Human Services, National Heart, Lung, and Blood, National Institutes of Health, Building 10, Room B1D416, MSC 1061, 10 Center Drive, Bethesda, MD 20892-1061, USA.
Gudmundur ThorgeirssonUniversity of Iceland, 101 Reykjavik, Reykjavik, Iceland.
Tamara B HarrisDepartment of Health and Human Services, National Institute on Aging, 31 Center Drive, MSC 2292, Bethesda, MD 20892, USA.
Lenore J LaunerDepartment of Health and Human Services, National Institute on Aging, 31 Center Drive, MSC 2292, Bethesda, MD 20892, USA.
Vilmundur GudnasonIcelandic Heart Association, Holtasmari 1, Kopavogur, Iceland.
Andrew E AraiDepartment of Health and Human Services, National Heart, Lung, and Blood, National Institutes of Health, Building 10, Room B1D416, MSC 1061, 10 Center Drive, Bethesda, MD 20892-1061, USA.

Funding

Technical Development of Diagnostic Cardiovascular MRIZIAHL004607 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI ARAI, ANDREW · 2009 to 2020
$25.3M
Advanced Cardiovascular Imaging FellowshipZIEHL006139 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI ARAI, ANDREW · 2011 to 2020
$8.8M
6 · The paper itself

Abstract

backgroundFibrosis is a key pathological process in many chronic inflammatory disease states.

aimsWe hypothesized that tissue inhibitor metalloproteinase-1 and matrix metalloproteinase-9 (TIMP-1 and MMP-9), biomarkers of fibrosis, would predict all-cause mortality and we assessed the incremental value of these biomarkers when adjusting for clinical and other biomarkers.

methodsThe cohort included 5511 community-dwelling participants in the AGES-Reykjavik Study. The baseline Cox proportional hazards regression model was based on the Framingham Risk Score variables; we added TIMP-1, MMP-9, serum high-sensitivity C-reactive protein (hsCRP), and estimated glomerular filtration rate (eGFR). The primary outcome was all-cause 10-year mortality. Cause of death was categorized as cardiovascular death (CVD), cancer death, and other causes.

resultsParticipants averaged 76 years and 43% were male. Ten-year mortality was 41% (2263 deaths). Of these, 915 (16.6%) died of cardiovascular disease (CVD), 543 (9.9%) with cancer, and 805 (14.6%) from other causes. For 10-year mortality, age was the strongest predictor (log likelihood χ2 = 798.7, P < 0.0001), followed by TIMP-1 (χ2 = 125.2, P < 0.0001), female gender, current smoker, diabetes mellitus, total cholesterol, eGFR (χ2 16.7, P < 0.0001), body mass index, and hsCRP (χ2 11.3, P = 0.0008) in that order. TIMP-1 and hsCRP had the highest continuous net reclassification improvement over the baseline model for 5-year survival [net reclassification index (NRI) 0.28 and 0.19, respectively, both P < 0.0001] and for 10-year survival (NRI 0.19 and 0.11, respectively, both statistically significant).

conclusionTIMP-1 is the strongest predictor of all-cause mortality after age. The metabolic pathways regulating extracellular matrix homeostasis and fibrogenic processes appear pathologically relevant and are prognostically important.

Indexed as

AgedAged, 80 and overBiomarkersCardiovascular DiseasesCause of DeathFemaleFibrosisHumansIcelandMaleMatrix Metalloproteinase 9NeoplasmsRisk AssessmentTissue Inhibitor of Metalloproteinase-1BiomarkersMatrix Metalloproteinase 9TIMP1 protein, humanTissue Inhibitor of Metalloproteinase-1

Identifiers

PMID29020384
PMCPMC5837193

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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.