Evidence map›Paper›PMID 34389565›Full record

ArticleBMJ open2021

Risk stratification for hydronephrosis in the evaluation of acute kidney injury: a cross-sectional analysis.

Sri Lekha Tummalapalli, John R Zech, Hyung J Cho, Celine Goetz

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 43% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

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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

4 authors at 4 institutions in 1 country.

Sri Lekha TummalapalliDivision of Healthcare Delivery Science and Innovation, Department of Population Health Sciences, Weill Cornell Medicine, New York, New York, USA lct4001@med.cornell.edu.ORCID 0000-0002-6513-8460
John R ZechDepartment of Radiology, New York Presbyterian Hospital-Columbia University Irving Medical Center, New York, New York, USA.
Hyung J ChoChief Value Officer, New York City Health and Hospitals, New York, NY, USA.
Celine GoetzDirector of Education, Division of Hospital Medicine, Department of Internal Medicine, Rush University Medical Center, Chicago, IL, USA.
Cornell University · USNew York City Health and Hospitals Corporation · USNewYork–Presbyterian Hospital · USRush University Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo validate an existing clinical decision support tool to risk-stratify patients with acute kidney injury (AKI) for hydronephrosis and compare the risk stratification framework with nephrology consultant recommendations.

settingCross-sectional study of hospitalised adults with AKI who had a renal ultrasound (RUS) ordered at a large, tertiary, academic medical centre.

participantsTwo hundred and eighty-one patients were included in the study cohort. Based on the risk stratification framework, 111 (40%), 76 (27%) and 94 (33%) patients were in the high-risk, medium-risk and low-risk groups for hydronephrosis, respectively. OUTCOMES: Outcomes were the presence of unilateral or bilateral hydronephrosis on RUS.

resultsThirty-five patients (12%) were found to have hydronephrosis. The high-risk group had 86% sensitivity and 67% specificity for identifying hydronephrosis. A nephrology consult was involved in 168 (60%) patients and RUS was recommended by the nephrology service in 95 (57%) cases. Among patients with a nephrology consultation, 9 (56%) of the 16 total patients with hydronephrosis were recommended to obtain an RUS.

conclusionsWe further externally validated a risk stratification framework for hydronephrosis. Clinical decision support systems may be useful to supplement clinical judgement in the evaluation of AKI.

Indexed as

Acute Kidney InjuryHydronephrosisCross-Sectional StudiesHumansRisk AssessmentUltrasonographyacute renal failurenephrologyquality in health care

Identifiers

PMID34389565
PMCPMC8365791
OpenAlexW3191245908

What OpenQuestion holds

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Registered trials

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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.