Evidence map›Paper›PMID 36443713›Full record

Trial reportBMC nephrology2022

Reliability of rubidium-82 PET/CT for renal perfusion determination in healthy subjects.

Stine Sundgaard Langaa, Frank Holden Mose, Claire Anne Fynbo, Jørn Theil, Jesper Nørgaard Bech

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC nephrology, 2022. 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
1.4field-weighted citation impact, top 19% 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, 10 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. First-time rest-stress dynamic whole-bodyEuropean journal of nuclear medicine and molecular imaging · 2023
    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

5 authors at 1 institution in 1 country.

Stine Sundgaard LangaaUniversity Clinic in Nephrology and Hypertension, Department of Medicine, Gødstrup Hospital and Aarhus University, Herning, Denmark. stinlg@rm.dk.
Frank Holden MoseUniversity Clinic in Nephrology and Hypertension, Department of Medicine, Gødstrup Hospital and Aarhus University, Herning, Denmark.
Claire Anne FynboClinic for Nuclear Medicine, Gødstrup Hospital, Herning, Denmark.
Jørn TheilClinic for Nuclear Medicine, Gødstrup Hospital, Herning, Denmark.
Jesper Nørgaard BechUniversity Clinic in Nephrology and Hypertension, Department of Medicine, Gødstrup Hospital and Aarhus University, Herning, Denmark.
Aarhus University · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChanges in renal perfusion may play a pathophysiological role in hypertension and kidney disease, however to date, no method for renal blood flow (RBF) determination in humans has been implemented in clinical practice. In a previous study, we demonstrated that estimation of renal perfusion based on a single positron emission tomography/computed tomography (PET/CT) scan with Rubidium-82 (

methodsSeventeen healthy subjects underwent three dynamic

resultsDay-to-day variation was observed to be 5.5% for the right kidney and 6.0% for the left kidney (n = 15 quality accepted scans). K

conclusionDay-to-day variation is acceptably low. A significant K CLINICAL

trial registrationEU Clinical Trials Register, 2017-005008-88. Registered 18/01/2018.

Indexed as

KidneyPositron Emission Tomography Computed TomographyAmino AcidsHealthy VolunteersHumansPerfusionReproducibility of ResultsRubidium RadioisotopesAmino AcidsRubidium-82Rubidium RadioisotopesPET/CTPharmacokinetic modellingRenal blood FlowRenal clearanceRenal plasma flowRubidium-82

Identifiers

PMID36443713
PMCPMC9706837
OpenAlexW4310073074

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.