ArticleRenal failure2025
Study on the diagnostic efficacy of the computerized tomography attenuation value of renal pelvis urine in true bacteriuria secondary to renal and ureteral stones.
Article in Renal failure, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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.
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.
Who cites it
2 citing papers in PubMed.
- Measuring and analyzing objective factors of impacted ureteral stones on Non-Contrast Computed Tomography (NCCT): a retrospective case-control study.Urolithiasis · 2026Article
- Perioperative Outcomes of Ureteroscopy in Patients with Anatomical Anomalies of the Urinary Tract and Neurogenic Bladder: A Retrospective Comparative Study.Journal of clinical medicine · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To explore the diagnostic efficacy of the computed tomography (CT) attenuation value of renal pelvic urine in true bacteriuria secondary to renal and ureteral stones, and to construct a nomogram prediction model. This retrospective study analyzed data from patients with renal and ureteral stones. The participants were categorized into an infection group (
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Registered trials
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.