Evidence map›Paper›PMID 31893231›Full record

ArticleTomography (Ann Arbor, Mich.)2019

Ex Vivo Human Placenta Perfusion, Metabolic and Functional Imaging for Obstetric Research-A Feasibility Study.

Katrine Elbæk Madsen, Christian Østergaard Mariager, Christina S Duvald, Esben Søvsø Szocska Hansen, Lotte Bonde Bertelsen, Michael Pedersen, Lars Henning Pedersen, Niels Uldbjerg, Christoffer Laustsen

Open access · goldAbstract read
In one paragraph

Article in Tomography (Ann Arbor, Mich.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
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

9 authors at 2 institutions in 1 country.

Katrine Elbæk MadsenDepartment of Clinical Medicine, MR-Research Centre, Aarhus University, Aarhus, Denmark.
Christian Østergaard MariagerDepartment of Clinical Medicine, MR-Research Centre, Aarhus University, Aarhus, Denmark.
Christina S DuvaldDepartment of Clinical Medicine, Comparative Medicine Laboratory, Aarhus University, Aarhus, Denmark; and.
Esben Søvsø Szocska HansenDepartment of Clinical Medicine, MR-Research Centre, Aarhus University, Aarhus, Denmark.
Lotte Bonde BertelsenDepartment of Clinical Medicine, MR-Research Centre, Aarhus University, Aarhus, Denmark.
Michael PedersenDepartment of Clinical Medicine, Comparative Medicine Laboratory, Aarhus University, Aarhus, Denmark; and.
Lars Henning PedersenDepartment of Gynaecology and Obstetrics, Aarhus University Hospital and Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
Niels UldbjergDepartment of Gynaecology and Obstetrics, Aarhus University Hospital and Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
Christoffer LaustsenDepartment of Clinical Medicine, MR-Research Centre, Aarhus University, Aarhus, Denmark.
Aarhus University · DKAarhus University Hospital · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Placenta metabolism is closely linked to pregnancy outcome, and few modalities are currently available for studying the human placenta. Here, we aimed to investigate a novel ex vivo human placenta perfusion system for metabolic imaging using hyperpolarized [1-

Indexed as

Blood VolumeFeasibility StudiesFemaleGlucoseHemodynamicsHumansIn Vitro TechniquesLactic AcidMagnetic Resonance ImagingPlacentaPregnancyPyruvic AcidGlucoseLactic AcidPyruvic Acid13ChyperpolarizationmetabolismMRIPlacentapyruvate

Identifiers

PMID31893231
PMCPMC6935991
OpenAlexW2997465046

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.