Abnormal Ultrasound Findings After a Urinary Tract Infection in Children

Limiting ultrasound screening after pyelonephritis to children under 2 years of age, as recommended in many current treatment guidelines, may miss a significant proportion (30%) of children with urinary tract abnormalities.

Authors

Institutions

Publication Details

Journal
Acta Paediatrica
Published
2025-05-27
DOI
https://doi.org/10.1111/apa.70152
Citations
1
Primary Topic
Pediatric Urology and Nephrology Studies
Type
article
Field-Weighted Citation Impact
3.49

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abnormal Ultrasound Findings After a Urinary Tract Infection in Children

Tytti Pokka, Mika Venhola, Oskari Pieviläinen, Mikael Hakkola et al.
1 citations
Acta Paediatrica
Pediatric Urology and Nephrology Studies
3.49
article

Abnormal Ultrasound Findings After a Urinary Tract Infection in Children

Tytti Pokka, Mika Venhola, Oskari Pieviläinen, Mikael Hakkola, Juha P. Heiskanen, Minna Honkila, Niko Paalanne, Marja Perhomaa, Terhi Ruuska‐Loewald, Ida Tervo
article en
1 citations

Abstract

Limiting ultrasound screening after pyelonephritis to children under 2 years of age, as recommended in many current treatment guidelines, may miss a significant proportion (30%) of children with urinary tract abnormalities.

Acta PaediatricaVol. 114(10)
Oulu University Hospital (FI), University of Oulu (FI)
Päivikki ja Sakari Sohlbergin Säätiö, Orionin Tutkimussäätiö
Good health and well-being
Openalex Percentile: Top 10%
Pediatric Urology and Nephrology Studies
3.49
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.