Evidence map›Paper›PMID 27614885›Full record

ReviewEmergency radiology2017

Imaging of flank pain: readdressing state-of-the-art.

Priyanka Jha, Brian Bentley, Spencer Behr, Judy Yee, Ronald Zagoria

Abstract readReview
PubMed Publisher
In one paragraph

Review in Emergency radiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Imaging of acute pelvic pain.The British journal of radiology · 2021
    Review
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  5. Article
  6. Article
  7. Article
  8. Article
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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

5 authors.

Priyanka JhaDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, 4150 Clement Street, Building 200, Rm 2A-166, San Francisco, CA, 94121, USA. priyanka.jha@ucsf.edu.
Brian BentleyDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, 4150 Clement Street, Building 200, Rm 2A-166, San Francisco, CA, 94121, USA.
Spencer BehrDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, 4150 Clement Street, Building 200, Rm 2A-166, San Francisco, CA, 94121, USA.
Judy YeeDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, 4150 Clement Street, Building 200, Rm 2A-166, San Francisco, CA, 94121, USA.
Ronald ZagoriaDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, 4150 Clement Street, Building 200, Rm 2A-166, San Francisco, CA, 94121, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pain resulting from renal and ureteral stones is a common cause for patients presenting in the acute setting. Since the late 1990s, computed tomography (CT) has been the initial imaging method of choice to evaluate patients with suspected ureteral stones; however, concerns regarding both radiation dose and cost-effectiveness have prompted investigations into a different imaging algorithm. Studies utilizing ultrasound have provided evidence indicating that it may be a more appropriate first step, with selective use of CT in selected cases, in the diagnostic work-up. Techniques have evolved with low-dose CT, dual-energy CT, and magnetic resonance urography emerging as useful in imaging of renal colic patients. This manuscript reviews the current literature on state-of-the-art imaging for acute flank pain and proposes a new imaging algorithm in the evaluation of patients with acute flank pain and suspected ureteral stones.

Indexed as

Diagnostic ImagingAlgorithmsFlank PainHumansPain MeasurementRisk FactorsUreteral CalculiImaging protocolLow-dose CTMRIPregnancyRenal stoneSTONE scoreUltrasound

Identifiers

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.