Evidence map›Paper›PMID 37667554›Full record

ArticleBJU international2024

Real-time estimation of nephron activity with a linear measurement system (RENAL-MS) predicts postoperative estimated glomerular filtration rate.

Jared P Schober, Kevin B Ginsburg, Alexander Kutikov, Eric Y Cho, Matt Loecher, David Strauss, Alberto Andres Castro Bigalli, Elizabeth Handorf, Mengying Deng, Jordan Anaokar and 7 more

Open access · bronzeAbstract read
In one paragraph

Article in BJU international, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 21% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
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

17 authors at 4 institutions in 1 country.

Jared P SchoberDivision of Urologic Surgery, Department of Surgery, University of Nebraska Medical Center, Omaha, NE, USA.ORCID 0000-0002-5686-0312
Kevin B GinsburgDepartment of Urology, Wayne State University, Detroit, MI, USA.ORCID 0000-0002-8140-9793
Alexander KutikovDivision of Urologic Oncology, Department of Surgical Oncology, Fox Chase Cancer Center, Philadelphia, PA, USA.
Eric Y ChoDivision of Urologic Oncology, Department of Surgical Oncology, Fox Chase Cancer Center, Philadelphia, PA, USA.
Matt LoecherDivision of Urologic Oncology, Department of Surgical Oncology, Fox Chase Cancer Center, Philadelphia, PA, USA.
David StraussDivision of Urologic Oncology, Department of Surgical Oncology, Fox Chase Cancer Center, Philadelphia, PA, USA.
Alberto Andres Castro BigalliDivision of Urologic Oncology, Department of Surgical Oncology, Fox Chase Cancer Center, Philadelphia, PA, USA.
Elizabeth HandorfBiostatistics and Bioinformatics, Fox Chase Cancer Center, Philadelphia, PA, USA.
Mengying DengBiostatistics and Bioinformatics, Fox Chase Cancer Center, Philadelphia, PA, USA.
Jordan AnaokarDepartment of Diagnostic Radiology, Fox Chase Cancer Center, Philadelphia, PA, USA.
David Y T ChenDivision of Urologic Oncology, Department of Surgical Oncology, Fox Chase Cancer Center, Philadelphia, PA, USA.
Richard E GreenbergDivision of Urologic Oncology, Department of Surgical Oncology, Fox Chase Cancer Center, Philadelphia, PA, USA.
Marc C SmaldoneDivision of Urologic Oncology, Department of Surgical Oncology, Fox Chase Cancer Center, Philadelphia, PA, USA.
Rosalia ViterboDivision of Urologic Oncology, Department of Surgical Oncology, Fox Chase Cancer Center, Philadelphia, PA, USA.
Andres F CorreaDivision of Urologic Oncology, Department of Surgical Oncology, Fox Chase Cancer Center, Philadelphia, PA, USA.
Robert G UzzoDivision of Urologic Oncology, Department of Surgical Oncology, Fox Chase Cancer Center, Philadelphia, PA, USA.
Marshall StrotherDepartment of Urology, Oregon Health and Science University, Portland, OR, USA.
Fox Chase Cancer Center · USNebraska Medical Center · USOregon Health & Science University · USWayne State University · US

Funding

WORD PROCESSING CENTER--COREP30CA006927 · NCI · RESEARCH INST OF FOX CHASE CAN CTR · PI Dietmar J Kappes · 1985 to 2026
$138.8M
Fox Chase Cancer Center P30CA006927NCI NIH HHS P30 CA006927
6 · The paper itself

Abstract

objectiveTo determine whether a simple point-of-care measurement system estimating renal parenchymal volume using tools ubiquitously available could be used to replace nuclear medicine renal scintigraphy (NMRS) in current clinical practice to predict estimated glomerular filtration rate (eGFR) after nephrectomy by estimating preoperative split renal function. PATIENTS AND

methodsWe performed a retrospective review of patients who underwent abdominal cross-sectional imaging (computed tomography/magnetic resonance imaging) and mercaptoacetyltriglycine (MAG3) NMRS prior to total nephrectomy at a single institution. We developed the real-time estimation of nephron activity with a linear measurement system (RENAL-MS) method of estimating postoperative renal function via the following technique: renal parenchymal volume of the removed kidney relative to the remaining kidney was estimated as the product of renal length and the average of six renal parenchymal thickness measurements. The utility of this value was compared to the utility of the split renal function measured by MAG3 for prediction of eGFR and new onset Stage 3 chronic kidney disease (CKD) at ≥90 days after nephrectomy using uni- and multivariate linear and logistic regression.

resultsA total of 57 patients met the study criteria. The median (interquartile range [IQR]) age was 69 (61-80) years. The median (IQR) pre- and postoperative eGFR was 74 (IQR 58-90) and 46 (35-62) mL/min/1.73 m

Indexed as

Kidney NeoplasmsRenal Insufficiency, ChronicAgedAged, 80 and overGlomerular Filtration RateHumansKidneyNephrectomyNephronsRetrospective Studiesclinical nomogramkidney cancerkidney functionnuclear medicine renal scanradical nephrectomyrenal mass

Identifiers

PMID37667554
PMCPMC11279882
OpenAlexW4386438333

What OpenQuestion holds

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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.