Evidence map›Paper›PMID 33247785›Full record

ReviewCurrent urology reports2020

Dual-Energy CT for Urinary Stone Evaluation.

Alex Nourian, Eric Ghiraldi, Justin I Friedlander

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current urology reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 29% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Guideline
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Urate Crystals; Beyond Joints.Frontiers in medicine · 2021
    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

3 authors at 2 institutions in 1 country.

Alex NourianDepartment of Urology, Einstein Healthcare Network, 1200 Tabor Road, 3rd Floor Sley Building, Philadelphia, PA, 19141, USA.
Eric GhiraldiDepartment of Urology, Einstein Healthcare Network, 1200 Tabor Road, 3rd Floor Sley Building, Philadelphia, PA, 19141, USA.
Justin I FriedlanderDepartment of Urology, Einstein Healthcare Network, 1200 Tabor Road, 3rd Floor Sley Building, Philadelphia, PA, 19141, USA. friedlaj@einstein.edu.ORCID http://orcid.org/0000-0002-4866-3335
Einstein Healthcare Network · USFox Chase Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewConventional CT imaging is an excellent tool for the diagnosis of nephrolithiasis however is limited in its ability to detect stone composition. Dual-energy CT (DECT) scans have demonstrated promise in overcoming this limitation. We review the current utility of DECT in nephrolithiasis. RECENT

findingsDECT is superior to conventional CT in differentiating uric acid stones from non-uric acid stones, with numerous studies reporting sensitivities and specificities approaching > 95%. Dose reduction protocols incorporating low-dose CT scans are commonly used, providing significantly lower effective radiation doses compared to conventional CT. DECT remains an effective diagnostic tool in patients with large body habitus. DECT can accurately detect uric acid stones, which can help guide which stones may be suitable to medical dissolution. Further studies evaluating the effectiveness of DECT in guiding management of patients with nephrolithiasis can help to promote its widespread use.

Indexed as

Tomography, X-Ray ComputedFemaleHumansMaleSensitivity and SpecificityUrolithiasisDual-energy CTImagingNephrolithiasisRadiation exposureStone compositionUric acid

Identifiers

PMID33247785
OpenAlexW3108576254

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.