Evidence map›Paper›PMID 35465621›Full record

ArticlePractical laboratory medicine2022

Urine testing to differentiate glomerular from tubulointerstitial diseases on kidney biopsy.

Anna C Tran, Hannah Melchinger, Jason Weinstein, Melissa Shaw, Candice Kent, Mark A Perazella, F Perry Wilson, Chirag R Parikh, Dennis G Moledina

Open access · goldAbstract read
In one paragraph

Article in Practical laboratory medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-weighted citation impact, top 24% 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

4 citing papers in PubMed, 8 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

9 authors at 2 institutions in 1 country.

Anna C TranYale College, New Haven, CT, USA.
Hannah MelchingerSection of Nephrology, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.
Jason WeinsteinSection of Nephrology, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.
Melissa ShawSection of Nephrology, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.
Candice KentSection of Nephrology, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.
Mark A PerazellaSection of Nephrology, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.
F Perry WilsonSection of Nephrology, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.
Chirag R ParikhDivision of Nephrology, Department of Internal Medicine, Johns Hopkins Medicine, Baltimore, MD, USA.
Dennis G MoledinaSection of Nephrology, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.
Yale University · USJohns Hopkins Medicine · US

Funding

Renal Physiology and Phenotyping CoreP30DK079310 · NIDDK · YALE UNIVERSITY · PI ARONSON, PETER S. · 2008 to 2022
$16.8M
Optimizing Electronic Alerts for Acute Kidney InjuryR01DK113191 · NIDDK · YALE UNIVERSITY · PI WILSON, FRANCIS PERRY · 2018 to 2022
$3.1M
Biomarkers for acute interstitial nephritis in humansR01DK128087 · NIDDK · YALE UNIVERSITY · PI MOLEDINA, DENNIS G. · 2021 to 2025
$2.9M
Identification of Non-Invasive Biomarkers and Indices for Diagnosis of Drug-Induced Acute Interstitial NephritisK23DK117065 · NIDDK · YALE UNIVERSITY · PI MOLEDINA, DENNIS G. · 2018 to 2022
$920k
AHRQ HHS R01 HS027626NIDDK NIH HHS K23 DK117065NIDDK NIH HHS P30 DK079310NIDDK NIH HHS R01 DK113191NIDDK NIH HHS R01 DK128087
6 · The paper itself

Abstract

Background: Differentiating between glomerular and tubulointerstitial diseases can guide selection of appropriate patients for kidney biopsy. The aim of this study is to identify urine tests that can differentiate between these histological diagnoses. Methods: In this sub-study of a prospectively enrolled cohort of participants with urine samples concurrent with their kidney biopsy, we tested the association of 24 features on urinalysis, urine sediment microscopy, and biomarkers of glomerular and tubular injury and inflammation with histological diagnosis of glomerular or tubulointerstitial disease. We selected a combination of features associated with glomerular disease using stepwise forward and backward regression, and LASSO algorithm after dividing the cohort into training (70%) and test (30%) sets. Results: Of 359 participants, 121 had glomerular, 89 had tubulointerstitial diseases, and 149 were classified as mixed. Compared to patients with tubulointerstitial diseases, those with glomerular diseases had more dipstick hematuria (3+ vs. 1+, P < 0.001) and urine albumin (1.25 vs. 0.09 mg/mg, P < 0.001). Patients with glomerular diseases had higher levels of tubular health biomarkers (Uromodulin, 1.22 vs. 0.92, P = 0.03). In a multivariable model, higher urine albumin, dipstick blood, and urine uromodulin were independently associated with higher odds of glomerular diseases (test set AUC, 0.81 (0.69, 0.93)). Conclusion: Urine tests, including urine albumin, dipstick blood, and urine uromodulin, were associated with the histological diagnosis of glomerular disease. These findings can help clinicians differentiate between glomerular and tubulointerstitial diseases and guide clinical decisions regarding a kidney biopsy.

Identifiers

PMID35465621
PMCPMC9018443
OpenAlexW4224438864

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.