Evidence map›Paper›PMID 37314150›Full record

SynthesisThe journals of gerontology. Series A, Biological sciences and medical sciences2023

The Role of a Composite Fitness Score in the Association Between Low-Density Cholesterol and All-Cause Mortality in Older Adults: An Individual Patient Data Meta-Analysis.

Milly A van der Ploeg, Rosalinde K E Poortvliet, Jonathan M K Bogaerts, Veerle M G T H van der Klei, Ngaire Kerse, Anna Rolleston, Ruth Teh, Louise Robinson, Carol Jagger, Yasumichi Arai and 5 more

Open access · hybridAbstract readMeta-Analysis
In one paragraph

Synthesis in The journals of gerontology. Series A, Biological sciences and medical sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 12% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

15 authors at 5 institutions in 4 countries.

Milly A van der PloegDepartment of Public Health and Primary Care, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0001-9415-338X
Rosalinde K E PoortvlietDepartment of Public Health and Primary Care, Leiden University Medical Center, Leiden, The Netherlands.
Jonathan M K BogaertsDepartment of Public Health and Primary Care, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0001-6438-6705
Veerle M G T H van der KleiDepartment of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands.
Ngaire KerseSchool of Population Health, University of Auckland, Auckland, New Zealand.
Anna RollestonThe Centre for Health, Tauranga, New Zealand.
Ruth TehSchool of Population Health, University of Auckland, Auckland, New Zealand.ORCID 0000-0001-7135-1850
Louise RobinsonPopulation Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK.
Carol JaggerPopulation Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK.ORCID 0000-0002-6377-9926
Yasumichi AraiCenter for Supercentenarian Medical Research, Keio University School of Medicine, Tokyo, Japan.
Ryo ShikimotoCenter for Supercentenarian Medical Research, Keio University School of Medicine, Tokyo, Japan.
Yukiko AbeCenter for Supercentenarian Medical Research, Keio University School of Medicine, Tokyo, Japan.
Jeanet W BlomDepartment of Public Health and Primary Care, Leiden University Medical Center, Leiden, The Netherlands.
Yvonne M DrewesDepartment of Public Health and Primary Care, Leiden University Medical Center, Leiden, The Netherlands.
Jacobijn GusseklooDepartment of Public Health and Primary Care, Leiden University Medical Center, Leiden, The Netherlands.
Leiden University Medical Center · NLKeio University · JPNewcastle University · GBUniversity of Auckland · NZThe Centre for Health (New Zealand) · NZ

Funding

Biotechnology and Biological Sciences Research CouncilBritish Heart FoundationDepartment of HealthMedical Research Council G0500997
6 · The paper itself

Abstract

backgroundIn the general population, an increase in low-density lipoprotein cholesterol (LDL-C) predicts higher cardiovascular disease risk, and lowering LDL-C can prevent cardiovascular disease and reduces mortality risk. Interestingly, in cohort studies that include very old populations, no or inverse associations between LDL-C and mortality have been observed. This study aims to investigate whether the association between LDL-C and mortality in the very old is modified by a composite fitness score.

methodsA 2-stage meta-analysis of individual participant data from the 5 observational cohort studies. The composite fitness score was operationalized by performance on a combination of 4 markers: functional ability, cognitive function, grip strength, and morbidity. We pooled hazard ratios (HR) from Cox proportional-hazards models for 5-year mortality risk for a 1 mmol/L increase in LDL-C. Models were stratified by high/low composite fitness score.

resultsComposite fitness scores were calculated for 2 317 participants (median 85 years, 60% females participants), of which 994 (42.9%) had a high composite fitness score, and 694 (30.0%) had a low-composite fitness score. There was an inverse association between LDL-C and 5-year mortality risk (HR 0.87 [95% CI: 0.80-0.94]; p < .01), most pronounced in participants with a low-composite fitness score (HR 0.85 [95% CI: 0.75-0.96]; p = .01), compared to those with a high composite fitness score (HR = 0.98 [95% CI: 0.83-1.15]; p = .78), the test for subgroups differences was not significant.

conclusionsIn this very old population, there was an inverse association between LDL-C and all-cause mortality, which was most pronounced in participants with a low-composite fitness scores.

Indexed as

Cardiovascular DiseasesAgedCholesterol, LDLFemaleHumansMaleRisk FactorsCholesterol, LDLActivities of daily livingCognitionFrailtyGrip strengthOldest old

Identifiers

PMID37314150
PMCPMC10460558
OpenAlexW4380534458

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.