Evidence map›Paper›PMID 28593428›Full record

ArticleEuropean radiology2017

Size matters: The width and location of a ureteral stone accurately predict the chance of spontaneous passage.

Johan Jendeberg, Håkan Geijer, Muhammed Alshamari, Bartosz Cierzniak, Mats Lidén

Open access · hybridAbstract read
In one paragraph

Article in European radiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 1 pooled it
6.1field-weighted citation impact, top 3% 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

60 citing papers in PubMed, 1 synthesis or guideline pooled it, 141 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Extracorporeal shockwavelithotripsyWorld journal of critical care medicine · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Observational
  15. Article
  16. Article
  17. Limitations of ultrasound compared with computed tomography for kidney stone surveillance.Canadian Urological Association journal = Journal de l'Association des urologues du Canada · 2025
    Article
  18. Article
  19. Review
  20. 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

5 authors at 2 institutions in 1 country.

Johan JendebergDepartment of Radiology, Faculty of Medicine and Health, Örebro University Hospital, 70185, Örebro, Sweden. johan.jendeberg@regionorebrolan.se.ORCID http://orcid.org/0000-0001-8949-119X
Håkan GeijerDepartment of Radiology, Faculty of Medicine and Health, Örebro University Hospital, 70185, Örebro, Sweden.
Muhammed AlshamariDepartment of Radiology, Faculty of Medicine and Health, Örebro University Hospital, 70185, Örebro, Sweden.
Bartosz CierzniakDepartment of Surgery, Faculty of Medicine and Health, Örebro University, Örebro, Sweden.
Mats LidénDepartment of Radiology, Faculty of Medicine and Health, Örebro University Hospital, 70185, Örebro, Sweden.
Örebro University Hospital · SEÖrebro University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo determine how to most accurately predict the chance of spontaneous passage of a ureteral stone using information in the diagnostic non-enhanced computed tomography (NECT) and to create predictive models with smaller stone size intervals than previously possible.

methodsRetrospectively 392 consecutive patients with ureteric stone on NECT were included. Three radiologists independently measured the stone size. Stone location, side, hydronephrosis, CRP, medical expulsion therapy (MET) and all follow-up radiology until stone expulsion or 26 weeks were recorded. Logistic regressions were performed with spontaneous stone passage in 4 weeks and 20 weeks as the dependent variable.

resultsThe spontaneous passage rate in 20 weeks was 312 out of 392 stones, 98% in 0-2 mm, 98% in 3 mm, 81% in 4 mm, 65% in 5 mm, 33% in 6 mm and 9% in ≥6.5 mm wide stones. The stone size and location predicted spontaneous ureteric stone passage. The side and the grade of hydronephrosis only predicted stone passage in specific subgroups.

conclusionSpontaneous passage of a ureteral stone can be predicted with high accuracy with the information available in the NECT. We present a prediction method based on stone size and location. KEY POINTS: • Non-enhanced computed tomography can predict the outcome of ureteral stones. • Stone size and location are the most important predictors of spontaneous passage. • Prediction models based on stone width or length and stone location are introduced. • The observed passage rates for stone size in mm-intervals are reported. • Clinicians can make better decisions about treatment.

Indexed as

Tomography, X-Ray ComputedAdolescentAdultAgedAged, 80 and overFemaleHumansHydronephrosisLogistic ModelsMaleMiddle AgedProbabilityPrognosisRemission, SpontaneousRetrospective StudiesUreteral CalculiKidney stoneRenal colicSpiral computed tomographyUreterUreteral calculi

Identifiers

PMID28593428
PMCPMC5635101
OpenAlexW2623258686

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.