Evidence map›Paper›PMID 41426837›Full record

ArticleCureus2025

Conservatively Managed Grade V Blunt Renal Injury.

Nikita Rana, Ashwini Prakash

Abstract readCase Reports
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Nikita RanaMedical School, University College London, London, GBR.
Ashwini PrakashOncology, Royal Berkshire Hospital, Reading, GBR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Renal trauma is a relatively common clinical entity encompassing a broad range of presentations and etiologies. High-grade renal injuries represent the most severe end of this spectrum and are associated with substantial immediate and long-term morbidity and mortality. Accurate triage and timely management are therefore crucial for optimizing patient outcomes. We report the case of a 26-year-old otherwise healthy male who sustained a Grade V renal injury following a road traffic accident. The injury was identified through a primary trauma survey and was managed conservatively despite clinical indicators favoring operative intervention. Unusual features of this case included presentation with isolated right-sided chest pain, imaging evidence of significant renal hilum disruption with preserved renal function, absence of hematuria or urinary extravasation, and persistent hypotension despite adequate resuscitative and maintenance intravenous fluid therapy in a non-septic patient with stable interval imaging. Remarkably, the patient made a complete recovery under conservative management. This case underscores the criticality of early imaging in detecting occult renal trauma, often first recognized through primary trauma surveys in the emergency department. It highlights the nuanced decision-making process between operative and nonoperative management in high-grade renal injuries, an area where standardized clinical guidelines remain limited. Furthermore, the growing role of interventional radiology in the conservative management of renal trauma is discussed. This report emphasizes the necessity for robust follow-up protocols, including interval imaging, to facilitate early detection of complications and improve long-term outcomes in patients with high-grade renal injuries.

Indexed as

angioembolizationconservative managementgrade v renal injuryhypotensionoperative managementroad traffic accident

Identifiers

PMID41426837
PMCPMC12718121

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.