Evidence map›Paper›PMID 28957382›Full record

ArticlePloS one2017

Combining LDL-C and HDL-C to predict survival in late life: The InChianti study.

Giovanni Zuliani, Stefano Volpato, Marco Dugo, Giovanni B Vigna, Mario Luca Morieri, Marcello Maggio, Antonio Cherubini, Stefania Bandinelli, Jack M Guralnik, Luigi Ferrucci

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. 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
1.8field-weighted citation impact, top 14% 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

8 citing papers in PubMed, 20 citations in OpenAlex.

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  5. Analyzing Successful Aging and Longevity: Risk Factors and Health Promoters in 2020 Older Adults.International journal of environmental research and public health · 2022
    Article
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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

10 authors at 5 institutions in 2 countries.

Giovanni ZulianiDepartment of Morphology, Surgery, and Experimental Medicine, Section of Internal and Cardiopulmonary Medicine, University of Ferrara, Ferrara, Italy.ORCID http://orcid.org/0000-0003-0969-3184
Stefano VolpatoDepartment of Morphology, Surgery, and Experimental Medicine, Section of Internal and Cardiopulmonary Medicine, University of Ferrara, Ferrara, Italy.
Marco DugoDepartment of Morphology, Surgery, and Experimental Medicine, Section of Internal and Cardiopulmonary Medicine, University of Ferrara, Ferrara, Italy.
Giovanni B VignaDepartment of Morphology, Surgery, and Experimental Medicine, Section of Internal and Cardiopulmonary Medicine, University of Ferrara, Ferrara, Italy.
Mario Luca MorieriDepartment of Morphology, Surgery, and Experimental Medicine, Section of Internal and Cardiopulmonary Medicine, University of Ferrara, Ferrara, Italy.
Marcello MaggioDepartment of Clinical and Experimental Medicine, Section of Geriatrics, University of Parma, Parma, Italy.
Antonio CherubiniInstitute of Gerontology and Geriatrics, INNRCA, Ancona, Italy.
Stefania BandinelliAzienda Sanitaria Firenze, Italy.
Jack M GuralnikDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, Maryland, United States of America.
Luigi FerrucciLongitudinal Studies Section, Clinical Research Branch, National Institute on Aging, NIH, Baltimore, Maryland, United States of America.
University of Ferrara · ITAzienda Sanitaria di Firenze · ITNational Institute on Aging · USUniversity of Maryland, Baltimore · USUniversity of Parma · IT

Funding

HISPANIC SECONDARY STROKE PREVENTION INITIATIVER01MD009164 · NIMHD · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI CARRASQUILLO, OLVEEN · 2014 to 2018
$1.9M
NIMHD NIH HHS R01 MD009164
6 · The paper itself

Abstract

backgroundWhile the relationship between total cholesterol (TC) and cardiovascular disease (CVD) progressively weakens with aging, several studies have shown that low TC is associated with increased mortality in older individuals. However, the possible additive/synergic contribution of the two most important cholesterol rich fractions (LDL-C and HDL-C) to mortality risk has not been previously investigated. Our study aimed to investigate the relationship between baseline LDL-C and HDL-C, both separately and combined, and 9-years mortality in a sample of community dwelling older individuals from the InCHIANTI study. METHODS AND

findings1044 individuals over 64 years were included. CVD and cancer mortality were defined by ICD-9 codes 390-459 and 140-239, respectively. LDL-C <130 mg/dL (3.36 mmol/L) was defined as "optimal/near optimal". Low HDL-C was defined as <40/50 mg/dL (1.03/1.29 mmol/L) in males/females, respectively. Nine-years mortality risk was calculated by multivariate Cox proportional hazards model. We found that, compared to subjects with high LDL-C and normal HDL-C (reference group), total mortality was significantly increased in subjects with optimal/near optimal LDL-C and low HDL-C (H.R.:1.58; 95%CI:1.11-2.25). As regards the specific cause of death, CVD mortality was not affected by LDL-C/HDL-C levels, while cancer mortality was significantly increased in all subjects with optimal/near optimal LDL-C (with normal HDL-C: H.R.: 2.49; with low HDL-C: H.R.: 4.52). Results were unchanged after exclusion of the first three years of follow-up, and of subjects with low TC (<160 g/dL-4.13 mmol/L).

conclusionsOur findings suggest that, in community dwelling older individuals, the combined presence of optimal/near optimal LDL-C and low HDL-C represents a marker of increased future mortality.

Indexed as

AgedCause of DeathCholesterol, HDLCholesterol, LDLFemaleFollow-Up StudiesHumansItalyMaleMultivariate AnalysisProportional Hazards ModelsSurvival AnalysisCholesterol, HDLCholesterol, LDL

Identifiers

PMID28957382
PMCPMC5619755
OpenAlexW2759666583

What OpenQuestion holds

Textmetadata
LicenceCC0
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.