Evidence map›Paper›PMID 34768454›Full record

ArticleJournal of clinical medicine2021

Evaluation of Age and Sex-Related Metabolic Changes in Healthy Subjects: An Italian Brain 18F-FDG PET Study.

Michela Allocca, Flavia Linguanti, Maria Lucia Calcagni, Angelina Cistaro, Valeria Gaudieri, Ugo Paolo Guerra, Silvia Morbelli, Flavio Nobili, Sabina Pappatà, Stelvio Sestini and 3 more

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2021. 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
0.6field-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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Observational
  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

13 authors at 7 institutions in 1 country.

Michela AlloccaNuclear Medicine Unit, Department of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, 50134 Florence, Italy.ORCID 0000-0001-6170-1378
Flavia LinguantiNuclear Medicine Unit, Department of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, 50134 Florence, Italy.ORCID 0000-0001-9954-5032
Maria Lucia CalcagniNuclear Medicine Unit, Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy.
Angelina CistaroNuclear Medicine, Salus Alliance Medical, 16128 Genoa, Italy.ORCID 0000-0001-8024-8425
Valeria GaudieriDepartment of Advanced Biomedical Sciences, University Federico II, 80138 Naples, Italy.
Ugo Paolo GuerraDepartment of Nuclear Medicine, Poliambulanza Foundation, 25124 Brescia, Italy.
Silvia MorbelliNuclear Medicine, Department of Health Science (DISSAL), University of Genoa, 16132 Genoa, Italy.
Flavio NobiliNeurology Clinic, IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy.ORCID 0000-0001-9811-0897
Sabina PappatàInstitute of Biostructure and Bioimaging, National Research Council (CNR), 80131 Naples, Italy.
Stelvio SestiniNuclear Medicine Unit, U.S.L. Toscana Centro, Ospedale S. Stefano, 59100 Prato, Italy.
Duccio VolterraniNuclear Medicine Unit, Department of Translational Research and New Technologies in Medicine and Surgery, University Hospital of Pisa, 56126 Pisa, Italy.
Valentina BertiNuclear Medicine Unit, Department of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, 50134 Florence, Italy.ORCID 0000-0001-9947-6559
For The Neurology Study Group Of The Italian Association Of Nuclear Medicine
University of Florence · ITOspedale Policlinico San Martino · ITAzienda Ospedaliera Universitaria Pisana · ITFederico II University Hospital · ITFondazione Poliambulanza Istituto Ospedaliero · ITInstitute of Biostructure and Bioimaging · ITUniversità Cattolica del Sacro Cuore · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background18F-fluorodeoxyglucose (18F-FDG) positron-emission-tomography (PET) allows detection of cerebral metabolic alterations in neurological diseases vs. normal aging. We assess age- and sex-related brain metabolic changes in healthy subjects, exploring impact of activity normalization methods.

methodsbrain scans of Italian Association of Nuclear Medicine normative database (151 subjects, 67 Males, 84 Females, aged 20-84) were selected. Global mean, white matter, and pons activity were explored as normalization reference. We performed voxel-based and ROI analyses using SPM12 and IBM-SPSS software.

resultsSPM proved a negative correlation between age and brain glucose metabolism involving frontal lobes, anterior-cingulate and insular cortices bilaterally. Narrower clusters were detected in lateral parietal lobes, precuneus, temporal pole and medial areas bilaterally. Normalizing on pons activity, we found a more significant negative correlation and no positive one. ROIs analysis confirmed SPM results. Moreover, a significant age × sex interaction effect was revealed, with worse metabolic reduction in posterior-cingulate cortices in females than males, especially in post-menopausal age.

conclusionsthis study demonstrated an age-related metabolic reduction in frontal lobes and in some parieto-temporal areas more evident in females. Results suggested pons as the most appropriate normalization reference. Knowledge of age- and sex-related cerebral metabolic changes is critical to correctly interpreting brain 18F-FDG PET imaging.

Indexed as

18F-FDGAlzheimer diseasebrainfluorodeoxyglucosehealthy agingmenopausePET imagingpositron-emission tomographysex differences

Identifiers

PMID34768454
PMCPMC8584846
OpenAlexW3210545329

What OpenQuestion holds

Textmetadata
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.