Evidence map›Paper›PMID 42410334›Full record

ArticleInternational journal of emergency medicine2026

Can resident-performed POCUS and clinical predictors effectively risk-stratify emergency department patients with confirmed renal colic?

Mohannad Alghamdi, Dunya Alfaraj, Laila Buarish, Maram Busuhail, Abdulrazzag Alharbi, Khaled Alharthi, Abdullah Alotaibi, Talal Albogami, Abdulaziz Alsaleh, Arwaa Haji and 1 more

Abstract read
In one paragraph

Article in International journal of emergency medicine, 2026. 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

11 authors.

Mohannad AlghamdiEmergency Medicine Department, College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia. mohaghamdi@iau.edu.sa.ORCID https://orcid.org/0000-0001-8649-4205
Dunya AlfarajEmergency Medicine Department, College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Laila BuarishEmergency Medicine Department, College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Maram BusuhailEmergency Medicine Department, College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Abdulrazzag AlharbiCollege of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Khaled AlharthiCollege of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Abdullah AlotaibiCollege of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Talal AlbogamiCollege of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Abdulaziz AlsalehCollege of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Arwaa HajiAssociate Consultant Emergency Medicine, King Abdullah Medical City, Makkah, Saudi Arabia.
Thamir AlSayedEmergency Medicine Department, College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUniversal reliance on non-contrast computed tomography (NCCT KUB) for suspected renal colic contributes to emergency department (ED) overcrowding and significant radiation exposure. This study evaluates the diagnostic performance of resident-performed point-of-care ultrasound (POCUS) alongside clinical and laboratory markers to establish an early multi-modal risk-stratification framework for managing patients with confirmed urolithiasis.

methodsWe conducted a retrospective observational cohort study of 313 consecutive patients with CT-confirmed urolithiasis at a tertiary-care ED over six months. We assessed the diagnostic performance of resident-performed POCUS for hydronephrosis detection against CT as the reference standard, and used multivariable logistic regression to identify independent clinical predictors of CT-confirmed hydronephrosis.

resultsDocumented resident-performed POCUS achieved a high sensitivity of 91.1% for identifying hydronephrosis against CT imaging, but displayed a critically low specificity of 21.4%. Microscopic hematuria operated at an extremely high baseline prevalence of 84.4% (n = 255 of 302 patients with urinalysis) across the cohort. Multivariable logistic regression identified three independent predictors of CT-confirmed hydronephrosis: microscopic hematuria (OR = 3.91, 95% CI [1.85, 8.23], p <.001), nausea or vomiting (OR = 3.29, 95% CI [1.27, 8.56], p =.015), and female sex (OR = 0.34, 95% CI [0.17, 0.68], p =.002). Resident-performed POCUS achieved a PPV of 89.3% alongside its high sensitivity, reinforcing its utility as a rule-in adjunct. A secondary bivariate analysis linked elevated serum creatinine (> 1.4 mg/dL) to acute inpatient resource utilization (p <.001).

conclusionWhile resident-performed POCUS is a sensitive but poorly specific tool for detecting hydronephrosis, it cannot safely guide disposition in isolation. Its clinical value lies in integration: when combined with key clinical red flags and secondary biochemical markers, it enables a structured, multi-modal approach to risk stratification that is practical and radiation-sparing in a high-volume emergency setting. Prospective multicenter trials are needed to validate this framework in pre-imaging triage settings.

Indexed as

Computed tomographyDispositionEmergency medicinePOCUSRenal colicRisk stratification

Identifiers

PMID42410334
PMCPMC13621638

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.