Evidence map›Paper›PMID 25677233›Full record

ReviewCurrent urology reports2015

Renal angiomyolipoma: preoperative identification of atypical fat-poor AML.

Crystal Farrell, Sabrina L Noyes, Mouafak Tourojman, Brian R Lane

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current urology reports, 2015. 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
2.3field-weighted citation impact, top 12% 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, 28 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Imaging and Management of Incidental Renal Lesions.BioMed research international · 2017
    Review
  11. Review
  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

4 authors at 2 institutions in 1 country.

Crystal FarrellGrand Rapids Medical Education Partners, 1000 Monroe Avenue NE, Grand Rapids, MI, 49503, USA, reachcrystalfarrell@gmail.com.
Sabrina L Noyes
Mouafak Tourojman
Brian R Lane
Spectrum Health · USMichigan State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The preoperative distinction between benign and malignant renal masses is a well-known radiographic diagnostic challenge. With angiomyolipoma (AML) and renal cell carcinoma (RCC) representing the most common benign and malignant renal parenchymal lesions, respectively, differentiating these two entities is especially important due to their vastly different treatments and prognoses. Renal AML is typically composed of smooth muscle cells, dysmorphic blood vessels, and varying amounts of adipose tissue. In most cases, "typical" AML can be diagnosed by identifying macroscopic fat with ultrasound, computed tomography, or magnetic resonance imaging. However, approximately 4-5 % of AML tumors have fat that is grossly undetectable by conventional techniques, precluding a straightforward diagnosis. The overlapping radiographic features between "atypical" or "fat-poor" AML and RCC, especially in smaller (<3-4 cm) lesions, lead many patients with benign AML to undergo unnecessary surgery for suspected RCC when the diagnosis is not established beforehand. This review presents the most recent studies and developments in preoperative evaluation of fat-poor AML.

Indexed as

Adipose TissueAngiomyolipomaBiopsyCarcinoma, Renal CellDiagnosis, DifferentialHumansKidney NeoplasmsMagnetic Resonance ImagingTomography, X-Ray ComputedUltrasonography

Identifiers

PMID25677233
OpenAlexW1996082907

What OpenQuestion holds

Textmetadata
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.