Evidence map›Paper›PMID 34057645›Full record

ArticleEJNMMI physics2021

Estimation of renal perfusion based on measurement of rubidium-82 clearance by PET/CT scanning in healthy subjects.

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

Open access · goldAbstract read
In one paragraph

Article in EJNMMI physics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

7 citing papers in PubMed, 17 citations in OpenAlex.

  1. Trial
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  3. Total-body positron emission tomography: Investigating mechanisms in cardiovascular-kidney-metabolic syndrome.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2025
    Review
  4. Article
  5. Article
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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

6 authors at 1 institution in 1 country.

Stine Sundgaard LangaaGødstrup HospitalUniversity Clinic in Nephrology and Hypertension, Department of Medical Research, Gødstrup Hospital and Aarhus University, Lægaardvej 12J, 7500, Holstebro, Denmark. stinlg@rm.dk.ORCID http://orcid.org/0000-0003-4525-7283
Thomas Guldager LauridsenGødstrup HospitalUniversity Clinic in Nephrology and Hypertension, Department of Medical Research, Gødstrup Hospital and Aarhus University, Lægaardvej 12J, 7500, Holstebro, Denmark.
Frank Holden MoseGødstrup HospitalUniversity Clinic in Nephrology and Hypertension, Department of Medical Research, Gødstrup Hospital and Aarhus University, Lægaardvej 12J, 7500, Holstebro, Denmark.
Claire Anne FynboDepartment of Nuclear Medicine, Gødstrup Hospital, Herning, Denmark.
Jørn TheilDepartment of Nuclear Medicine, Gødstrup Hospital, Herning, Denmark.
Jesper Nørgaard BechGødstrup HospitalUniversity Clinic in Nephrology and Hypertension, Department of Medical Research, Gødstrup Hospital and Aarhus University, Lægaardvej 12J, 7500, Holstebro, Denmark.
Aarhus University · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChanges in renal blood flow (RBF) may play a pathophysiological role in hypertension and kidney disease. However, RBF determination in humans has proven difficult. We aimed to confirm the feasibility of RBF estimation based on positron emission tomography/computed tomography (PET/CT) and rubidium-82 (

methodsEighteen healthy subjects underwent two dynamic

resultsFor both kidneys, K

conclusionMeasurement of renal perfusion based on PET/CT and

Indexed as

Effective renal plasma flowPET/CTPharmacokinetic modellingRenal blood flowRenal volumesRubidium-82

Identifiers

PMID34057645
PMCPMC8167076
OpenAlexW3126826097

What OpenQuestion holds

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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.