Evidence map›Paper›PMID 38393006›Full record

ArticleMetabolites2024

Kinetic Modeling of Brain [

Marco Bucci, Eleni Rebelos, Vesa Oikonen, Juha Rinne, Lauri Nummenmaa, Patricia Iozzo, Pirjo Nuutila

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Metabolites, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 98% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

7 authors at 4 institutions in 3 countries.

Marco BucciTurku PET Centre, Turku University Hospital, 20521 Turku, Finland.ORCID 0000-0002-5206-8651
Eleni RebelosTurku PET Centre, University of Turku, 20521 Turku, Finland.
Vesa OikonenTurku PET Centre, University of Turku, 20521 Turku, Finland.ORCID 0000-0002-1947-0219
Juha RinneTurku PET Centre, Turku University Hospital, 20521 Turku, Finland.
Lauri NummenmaaTurku PET Centre, University of Turku, 20521 Turku, Finland.
Patricia IozzoInstitute of Clinical Physiology (IFC), National Research Council (CNR), 56124 Pisa, Italy.
Pirjo NuutilaTurku PET Centre, University of Turku, 20521 Turku, Finland.ORCID 0000-0001-9597-338X
University of Turku · FIÅbo Akademi University · FIIstituto di Fisiologia Clinica · ITTurku University Hospital · FI

Funding

Åbo Akademi University NACenter of Excellence in Cardiovascular and Metabolic Diseases NAFinnish Diabetes Association NAResearch Council of Finland 294897Signe and Ane Gyllenberg Foundation NASigrid Jusélius Foundation NATurku University Hospital NAUniversity of Turku NA
6 · The paper itself

Abstract

Accurate positron emission tomography (PET) data quantification relies on high-quality input plasma curves, but venous blood sampling may yield poor-quality data, jeopardizing modeling outcomes. In this study, we aimed to recover sub-optimal input functions by using information from the tail (5th-100th min) of curves obtained through the frequent sampling protocol and an input recovery (IR) model trained with reference curves of optimal shape. Initially, we included 170 plasma input curves from eight published studies with clamp [

Indexed as

Bayesian estimationbrainFeng inputfluorodeoxyglucosehyper-insulinemic euglycemic clampinput functionkinetic modelingpositron emission tomography

Identifiers

PMID38393006
PMCPMC10890269
OpenAlexW4391655721

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.