Evidence map›Paper›PMID 10799427›Full record

ArticleArchives of disease in childhood2000

Risk assessment of renal cortical scarring with urinary tract infection by clinical features and ultrasonography.

M T Christian, J H McColl, J R MacKenzie, T J Beattie

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Archives of disease in childhood, 2000. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
2.8field-weighted citation impact, top 9% 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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 63 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Community-acquired enterococcal urinary tract infections.Pediatric nephrology (Berlin, Germany) · 2005
    Article
  12. Article
  13. The role of imaging in urinary tract infections.World journal of urology · 2004
    Review
  14. Article
  15. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

M T ChristianRenal Unit, Royal Hospital for Sick Children, Yorkhill, Glasgow G3 8SJ, Scotland, UK.
J H McColl
J R MacKenzie
T J Beattie
Royal Hospital for Children · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsTo address some of the issues in the ongoing debate over the optimal diagnostic imaging following childhood urinary tract infection (UTI), by determining the risk of missing renal cortical scarring which would be detected on a technetium-99m dimercaptosuccinic acid (DMSA) gold standard if ultrasound alone were used, factoring for clinical features (upper or lower tract), UTI recurrence, and age group (infants, preschool, or school age).

methodsDetails of UTI clinical features and recurrence were recorded for 990 children with a proven UTI, and their DMSA and ultrasound results were compared for each kidney.

resultsThe risks of missing DMSA scarring varied between 0.4% (school age children with solitary lower tract UTI) and 11.1% (infants with recurrent upper tract UTI).

conclusionsUTI clinical features are important in assessing the need for DMSA imaging. Current UK imaging guidelines are endorsed, although preschool children with solitary lower tract UTI remain a controversial group and more attention needs to focused on children with recurrent UTI.

Indexed as

AdolescentAge FactorsChildChild, PreschoolCicatrixClinical ProtocolsFemaleHumansInfantKidney CortexKidney DiseasesMaleRadionuclide ImagingRecurrenceRisk AssessmentTechnetium Tc 99m Dimercaptosuccinic AcidTechnetium Tc 99m Dimercaptosuccinic Acid

Identifiers

PMID10799427
PMCPMC1718320
OpenAlexW2164941405

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.