Evidence map›Paper›PMID 28237281›Full record

ReviewSeminars in ultrasound, CT, and MR2017

Hereditary Renal Tumor Syndromes: Update on Diagnosis and Management.

Sonia Gaur, Baris Turkbey, Peter Choyke

Open access · greenAbstract readReview
In one paragraph

Review in Seminars in ultrasound, CT, and MR, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

12 citing papers in PubMed, 24 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Clinical predictors of a positive test result in patients undergoing genetic evaluation for a hereditary kidney cancer syndrome.Canadian Urological Association journal = Journal de l'Association des urologues du Canada · 2020
    Article
  10. Article
  11. Article
  12. 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

3 authors at 2 institutions in 1 country.

Sonia GaurMolecular Imaging Program, National Cancer Institute, Bethesda, MD; Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA.
Baris TurkbeySidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA.
Peter ChoykeMolecular Imaging Program, National Cancer Institute, Bethesda, MD. Electronic address: pchoyke@nih.gov.
National Cancer Institute · USThomas Jefferson University · US

Funding

Lymphatic ImagingZIABC010654 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI CHOYKE, PETER L · 2009 to 2020
$4.8M
Lymphatic ImagingZ01BC010654 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI CHOYKE, PETER L · 2005 to 2008
$1.1M
Intramural NIH HHS Z01 BC010654
6 · The paper itself

Abstract

Hereditary renal cancers account for approximately 5%-8% of all renal tumors. Over the past 2 decades, a number of syndromes have been identified that predispose patients to early renal cancer development, representing all the major histologic types of tumor pathology. In this article, we describe the current knowledge concerning the cell type, known mechanism of tumor development, other manifestations of the syndrome, imaging findings, genetic screening, and imaging surveillance recommendations for each of the major syndromes associated with hereditary renal cancers.

Indexed as

Diagnostic ImagingHumansKidneyKidney NeoplasmsNeoplastic Syndromes, Hereditary

Identifiers

PMID28237281
PMCPMC5330200
OpenAlexW2532739838

What OpenQuestion holds

Textmetadata
LicenceTDM
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.