Evidence map›Paper›PMID 32283734›Full record

ArticleJournal of personalized medicine2020

The "develOpment of metabolic and functional markers of Dementia IN Older people" (ODINO) Study: Rationale, Design and Methods.

Anna Picca, Daniela Ronconi, Hélio J Coelho-Junior, Riccardo Calvani, Federico Marini, Alessandra Biancolillo, Jacopo Gervasoni, Aniello Primiano, Cristina Pais, Eleonora Meloni and 6 more

Abstract read
In one paragraph

Article in Journal of personalized medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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

16 authors.

Anna PiccaFondazione Policlinico Universitario "Agostino Gemelli" IRCCS, 00168 Rome, Italy.ORCID 0000-0001-7032-3487
Daniela RonconiUniversità Cattolica del Sacro Cuore, 00168 Rome, Italy.
Hélio J Coelho-JuniorUniversità Cattolica del Sacro Cuore, 00168 Rome, Italy.ORCID 0000-0001-7482-9514
Riccardo CalvaniFondazione Policlinico Universitario "Agostino Gemelli" IRCCS, 00168 Rome, Italy.
Federico MariniDepartment of Chemistry, Sapienza Università di Roma, 00185 Rome, Italy.ORCID 0000-0001-8266-1117
Alessandra BiancolilloDepartment of Physical and Chemical Sciences, Università degli Studi dell'Aquila, 67100 L'Aquila, Italy.ORCID 0000-0002-9461-9597
Jacopo GervasoniFondazione Policlinico Universitario "Agostino Gemelli" IRCCS, 00168 Rome, Italy.
Aniello PrimianoFondazione Policlinico Universitario "Agostino Gemelli" IRCCS, 00168 Rome, Italy.
Cristina PaisFondazione Policlinico Universitario "Agostino Gemelli" IRCCS, 00168 Rome, Italy.
Eleonora MeloniFondazione Policlinico Universitario "Agostino Gemelli" IRCCS, 00168 Rome, Italy.
Domenico FuscoFondazione Policlinico Universitario "Agostino Gemelli" IRCCS, 00168 Rome, Italy.
Maria Rita Lo MonacoFondazione Policlinico Universitario "Agostino Gemelli" IRCCS, 00168 Rome, Italy.
Roberto BernabeiFondazione Policlinico Universitario "Agostino Gemelli" IRCCS, 00168 Rome, Italy.
Maria Camilla CiprianiFondazione Policlinico Universitario "Agostino Gemelli" IRCCS, 00168 Rome, Italy.
Emanuele MarzettiFondazione Policlinico Universitario "Agostino Gemelli" IRCCS, 00168 Rome, Italy.
Rosa LiperotiFondazione Policlinico Universitario "Agostino Gemelli" IRCCS, 00168 Rome, Italy.

Funding

Centro Studi "Achille e Linda Lorenzon" N/AInnovative Medicines Initiative 115621
6 · The paper itself

Abstract

Mild cognitive impairment (MCI), also termed mild neurocognitive disorder, includes a heterogeneous group of conditions characterized by declines in one or more cognitive domains greater than that expected during "normal" aging but not severe enough to impair functional abilities. MCI has been associated with an increased risk of developing dementia and even considered an early stage of it. Therefore, noninvasively accessible biomarkers of MCI are highly sought after for early identification of the condition. Systemic inflammation, metabolic perturbations, and declining physical performance have been described in people with MCI. However, whether biological and functional parameters differ across MCI neuropsychological subtypes is presently debated. Likewise, the predictive value of existing biomarkers toward MCI conversion into dementia is unclear. The "develOpment of metabolic and functional markers of Dementia IN Older people" (ODINO) study was conceived as a multi-dimensional investigation in which multi-marker discovery will be coupled with innovative statistical approaches to characterize patterns of systemic inflammation, metabolic perturbations, and physical performance in older adults with MCI. The ultimate aim of ODINO is to identify potential biomarkers specific for MCI subtypes and predictive of MCI conversion into Alzheimer's disease or other forms of dementia over a three-year follow-up. Here, we describe the rationale, design, and methods of ODINO.

Indexed as

agingAlzheimer’s diseasebiomarkerscognitive declinecytokinesmetabolomicsmultivariate analysisneuroinflammationperson-tailoredphysical performance

Identifiers

PMID32283734
PMCPMC7354545

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Registered trials

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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.