Evidence map›Paper›PMID 22174010›Full record

ArticleAge (Dordrecht, Netherlands)2013

Remodelling of biological parameters during human ageing: evidence for complex regulation in longevity and in type 2 diabetes.

Liana Spazzafumo, Fabiola Olivieri, Angela Marie Abbatecola, Gastone Castellani, Daniela Monti, Rosamaria Lisa, Roberta Galeazzi, Cristina Sirolla, Roberto Testa, Rita Ostan and 8 more

Open access · greenAbstract read
In one paragraph

Article in Age (Dordrecht, Netherlands), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
0.9field-weighted citation impact, top 33% 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

22 citing papers in PubMed, 57 citations in OpenAlex.

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  13. Common methods of biological age estimation.Clinical interventions in aging · 2017
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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

18 authors at 8 institutions in 1 country.

Liana SpazzafumoBiostatistical Center, Polo Scientifico Tecnologico, I.N.R.C.A., Via Birarelli, 8, Ancona, Italy. l.spazzafumo@inrca.it
Fabiola Olivieri
Angela Marie Abbatecola
Gastone Castellani
Daniela Monti
Rosamaria Lisa
Roberta Galeazzi
Cristina Sirolla
Roberto Testa
Rita Ostan
Maria Scurti
Calogero Caruso
Sonya Vasto
Rosanna Vescovini
Giulia Ogliari
Daniela Mari
Fabrizia Lattanzio
Claudio Franceschi
University of Bologna · ITI.R.C.C.S. Oasi Maria SS · ITIstituto Nazionale di Riposo e Cura per Anziani · ITUniversity of Milan · ITUniversity of Palermo · ITMarche Polytechnic University · ITUniversity of Florence · ITUniversity of Parma · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Factor structure analyses have revealed the presence of specific biological system markers in healthy humans and diseases. However, this type of approach in very old persons and in type 2 diabetes (T2DM) is lacking. A total sample of 2,137 Italians consisted of two groups: 1,604 healthy and 533 with T2DM. Age (years) was categorized as adults (≤65), old (66-85), oldest old (>85-98) and centenarians (≥99). Specific biomarkers of routine haematological and biochemical testing were tested across each age group. Exploratory factorial analysis (EFA) by principal component method with Varimax rotation was used to identify factors including related variables. Structural equation modelling (SEM) was applied to confirm factor solutions for each age group. EFA and SEM identified specific factor structures according to age in both groups. An age-associated reduction of factor structure was observed from adults to oldest old in the healthy group (explained variance 60.4% vs 50.3%) and from adults to old in the T2DM group (explained variance 57.4% vs 44.2%). Centenarians showed three-factor structure similar to those of adults (explained variance 58.4%). The inflammatory component became the major factor in old group and was the first one in T2DM. SEM analysis in healthy subjects suggested that the glucose levels had an important role in the oldest old. Factorial structure change during healthy ageing was associated with a decrease in complexity but showed an increase in variability and inflammation. Structural relationship changes observed in healthy subjects appeared earlier in diabetic patients and later in centenarians.

Indexed as

AdolescentAdultAgedAged, 80 and overAgingAnalysis of VarianceBiomarkersBlood GlucoseChi-Square DistributionCholesterolC-Reactive ProteinDiabetes Mellitus, Type 2Factor Analysis, StatisticalFemaleFibrinogenHematologic TestsBiomarkersBlood GlucoseCholesterolC-Reactive ProteinFibrinogenHemoglobinsTriglycerides

Identifiers

PMID22174010
PMCPMC3592946
OpenAlexW2012365702

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.