Evidence map›Paper›PMID 40669699›Full record

ArticleUrology2025

Patterns of Outpatient Urinalysis Testing and the Detection of Microscopic Hematuria.

Richard S Matulewicz, Samuel A Gold, Fady Baky, Andrew Nicholson, Eric Wahlstedt, Patrick Alba, Bernard H Bochner, Harry W Herr, David S Goldfarb, Julie A Lynch and 5 more

Abstract read
In one paragraph

Article in Urology, 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

15 authors.

Richard S MatulewiczMemorial Sloan Kettering Cancer Center Department of Surgery, Urology Service, New York, NY; VA New York Harbor Health Care, Manhattan, VA. Electronic address: matulewr@mskcc.org.
Samuel A GoldMemorial Sloan Kettering Cancer Center Department of Surgery, Urology Service, New York, NY.
Fady BakyMemorial Sloan Kettering Cancer Center Department of Surgery, Urology Service, New York, NY.
Andrew NicholsonVA New York Harbor Health Care, Manhattan, VA; New York University Langone Medical Center, New York, NY.
Eric WahlstedtUniversity of Kentucky College of Medicine, Lexington, KY.
Patrick AlbaVA Informatics and Computer Infrastructure and the University of Utah, Salt Lake City, UT.
Bernard H BochnerMemorial Sloan Kettering Cancer Center Department of Surgery, Urology Service, New York, NY.
Harry W HerrMemorial Sloan Kettering Cancer Center Department of Surgery, Urology Service, New York, NY.
David S GoldfarbVA New York Harbor Health Care, Manhattan, VA; New York University Langone Medical Center, New York, NY.
Julie A LynchVA Informatics and Computer Infrastructure and the University of Utah, Salt Lake City, UT.
Lamont J BarlowVA New York Harbor Health Care, Manhattan, VA; New York University Langone Medical Center, New York, NY.
Melissa AsselMemorial Sloan Kettering Cancer Center, Department of Epidemiology & Biostatistics, New York, NY.
Andrew J VickersMemorial Sloan Kettering Cancer Center, Department of Epidemiology & Biostatistics, New York, NY.
Scott E ShermanVA New York Harbor Health Care, Manhattan, VA; New York University Langone Medical Center, New York, NY.
Danil V MakarovVA New York Harbor Health Care, Manhattan, VA; New York University Langone Medical Center, New York, NY.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
UROLOGY ONCOLOGY RESEARCH TRAINING GRANTT32CA082088 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Brett Stewart Carver · 1999 to 2026
$7.1M
NCI NIH HHS P30 CA008748NCI NIH HHS T32 CA082088
6 · The paper itself

Abstract

objectiveTo evaluate urinalysis testing patterns within the Veterans Health Administration (VHA), estimate the proportion and likelihood of patients who completed a urinalysis to have microscopic hematuria (MH), and explore how urinalysis testing patterns may influence MH detection.

methodsThis was a retrospective cross-sectional study using VHA data. We identified adult patients without a known urologic cancer history who had at least 1 outpatient visit at any VHA site and at least 1 interpretable urinalysis performed in 2015. The factors associated with the number of urinalyses performed on each patient and associations with the presence of MH were investigated.

resultsAmong 5,719,966 adults, 39% completed a urinalysis. Variation in the proportion of patients who completed urinalyses was highest by age, among patients with hypertension and diabetes, and by region. Of patients who underwent urinalysis and had no prior genitourinary cancer history, 54% did not have an interpretable urinalysis result. Among patients with at least one interpretable microscopic urinalysis, 37% had MH. This was more common among older patients, females, current smokers, and patients with more comorbidities. Variation in the likelihood of patients having MH remained after adjusting for multiple factors and when contextualized by urinalysis completion and interpretability patterns.

conclusionThe number of urinalyses performed in the VHA system is remarkably high. Detection of MH is influenced by the frequency of urinalysis testing and interpretability of results. The presence and detection of MH varies by factors which should be considered when adjudicating the need for further evaluation of MH.

Indexed as

Ambulatory CareHematuriaUrinalysisAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedOutpatientsRetrospective StudiesUnited States

Identifiers

PMID40669699
PMCPMC13527643

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.