Evidence map›Paper›PMID 30189677›Full record

ArticleCancers2018

Non-Invasive Assessment of Lactate Production and Compartmentalization in Renal Cell Carcinomas Using Hyperpolarized

Renuka Sriram, Jeremy Gordon, Celine Baligand, Fayyaz Ahamed, Justin Delos Santos, Hecong Qin, Robert A Bok, Daniel B Vigneron, John Kurhanewicz, Peder E Z Larson and 1 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

19 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. A pharmacokinetic model for hyperpolarizedMagnetic resonance in medicine · 2024
    Article
  5. DynamicMagnetic resonance in medicine · 2024
    Article
  6. Article
  7. Review
  8. Review
  9. HyperpolarizedCancers · 2022
    Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Hyperpolarized Carbon (Methods in molecular biology (Clifton, N.J.) · 2021
    Article
  15. Review
  16. Article
  17. HyperpolarisedMagma (New York, N.Y.) · 2020
    Review
  18. Review
  19. 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

11 authors at 1 institution in 1 country.

Renuka SriramDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA. Renuka.Sriram@ucsf.edu.ORCID 0000-0003-3505-2479
Jeremy GordonDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA. jeremy.gordon@ucsf.edu.ORCID 0000-0003-2760-4886
Celine BaligandDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA. celinebaligand@gmail.com.ORCID 0000-0003-4548-5630
Fayyaz AhamedDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA. fayyaz_ahamed@berkeley.edu.
Justin Delos SantosDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA. justin.delossantos@ucsf.edu.
Hecong QinDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA. Hecong.Qin@ucsf.edu.ORCID 0000-0003-2618-8366
Robert A BokDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA. Robert.bok@ucsf.edu.
Daniel B VigneronDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA. Dan.vigneron@ucsf.edu.
John KurhanewiczDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA. john.kurhanewicz@ucsf.edu.
Peder E Z LarsonDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA. Peder.Larson@ucsf.edu.ORCID 0000-0003-4183-3634
Zhen J WangDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA. Zhen.Wang@ucsf.edu.
University of California, San Francisco · US

Funding

TR&D3: Open-Source Tools for Processing Hyperpolarized MR DataP41EB013598 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI DUAN XU · 2011 to 2026
$19.9M
Translating HP 13C MRI as a Novel Paradigm for Assessing Drug Target InhibitionR01CA183071 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HURD, RALPH EUGENE, MUNSTER, PAMELA N. · 2014 to 2018
$3.3M
Hyperpolarized C-13 Diffusion MRI Measures of Cellular Transport and MetabolismR01EB016741 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LARSON, PEDER ERIC ZUFALL · 2014 to 2017
$2.0M
Hyperpolarized 13C Markers of Diabetic Nephropathy and Treatment ResponseR01DK097357 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI WANG, ZHEN JANE · 2013 to 2017
$1.2M
NCI NIH HHS R01 CA183071NIBIB NIH HHS P41 EB013598NIBIB NIH HHS R01 EB016741NIDDK NIH HHS R01 DK097357NIH HHS R01 EB013427, R01 EB017449, R01 CA183071, R01EB016741, P41 EB013598, R21 EB005363, R00 EB014328, R01 CA166655, and R01 DK097357U.S. Department of Defense USAMRMC CA110032
6 · The paper itself

Abstract

Optimal treatment selection for localized renal tumors is challenging due to their variable biological behavior and limited ability to pre-operatively assess their aggressiveness. We investigated hyperpolarized (HP)

Indexed as

aerobic glycolysisdynamic nuclear polarization (DNP)hyperpolarized 13C magnetic resonance imaging (HP 13C MRI)lactate dehydrogenase (LDH)lactate effluxrenal cell carcinoma (RCC)

Identifiers

PMID30189677
PMCPMC6162434
OpenAlexW2892362385

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.