Evidence map›Paper›PMID 24370765›Full record

ReviewClinical journal of the American Society of Nephrology : CJASN2014

Renal relevant radiology: radiologic imaging in autosomal dominant polycystic kidney disease.

Frederic Rahbari-Oskoui, Ankush Mittal, Pardeep Mittal, Arlene Chapman

Open access · bronzeAbstract readReview
In one paragraph

Review in Clinical journal of the American Society of Nephrology : CJASN, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
5.6field-weighted citation impact, top 4% 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

28 citing papers in PubMed, 68 citations in OpenAlex.

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  15. Article
  16. Radiographic Imaging in Autosomal Dominant Polycystic Kidney Disease: A Claims Analysis.International journal of nephrology and renovascular disease · 2021
    Article
  17. Article
  18. Examining the Role of Polymorphisms in Exon 25 of theReports of biochemistry & molecular biology · 2019
    Article
  19. ADPKD-what the radiologist should know.The British journal of radiology · 2019
    Review
  20. 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

4 authors at 1 institution in 1 country.

Frederic Rahbari-OskouiDepartments of Medicine and, †Radiology, Emory University School of Medicine, Atlanta, Georgia.
Ankush Mittal
Pardeep Mittal
Arlene Chapman
Emory University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autosomal-dominant polycystic kidney disease is a systemic disorder and the most common hereditary renal disease, which is characterized by cyst growth, progressive renal enlargement, and development of renal failure. The cystic nature of autosomal dominant polycystic kidney disease and its renal and extrarenal complications (kidney stones, cyst hemorrhage, intracerebral aneurysm, liver cysts, cardiac valve abnormalities, etc.) give radiologic imaging studies a central role in the management of these patients. This article reviews the indications, comparative use, and limitation of various imaging modalities (ultrasonography, magnetic resonance imaging, computerized tomography scan, Positron emission tomography scan, and renal scintigraphy) for the diagnosis and management of complications in autosomal dominant polycystic kidney disease. Finally, this work provides evidence for the value of total kidney volume to predict disease progression in autosomal dominant polycystic kidney disease.

Indexed as

Diagnostic ImagingKidneyAdolescentAdultFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedPolycystic Kidney, Autosomal DominantPositron-Emission TomographyPrognosisSeverity of Illness IndexTomography, X-Ray ComputedUltrasonographyYoung Adult

Identifiers

PMID24370765
PMCPMC3913246
OpenAlexW2103624598

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.