Evidence map›Paper›PMID 28719978›Full record

ArticleJournal of endourology2017

Optimizing RNA Extraction of Renal Papilla Biopsy Tissue in Kidney Stone Formers: A New Methodology for Genomic Study.

Kazumi Taguchi, Manint Usawachintachit, Shuzo Hamamoto, Rei Unno, David T Tzou, Benjamin A Sherer, Yongmei Wang, Atsushi Okada, Marshall L Stoller, Takahiro Yasui and 1 more

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PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of endourology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 28% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. miR-148b-5p regulates hypercalciuria and calcium-containing nephrolithiasis.Cellular and molecular life sciences : CMLS · 2024
    Article
  4. Review
  5. Article
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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

11 authors at 2 institutions in 3 countries.

Kazumi Taguchi1 Department of Urology, University of California , San Francisco, San Francisco, California.
Manint Usawachintachit1 Department of Urology, University of California , San Francisco, San Francisco, California.
Shuzo Hamamoto2 Department of Nephro-urology, Nagoya City University Graduate School of Medical Sciences , Nagoya, Japan .
Rei Unno2 Department of Nephro-urology, Nagoya City University Graduate School of Medical Sciences , Nagoya, Japan .
David T Tzou1 Department of Urology, University of California , San Francisco, San Francisco, California.
Benjamin A Sherer1 Department of Urology, University of California , San Francisco, San Francisco, California.
Yongmei Wang4 Endocrine Research Unit, Veterans Affairs Medical Center, San Francisco and University of California , San Francisco, California.
Atsushi Okada2 Department of Nephro-urology, Nagoya City University Graduate School of Medical Sciences , Nagoya, Japan .
Marshall L Stoller1 Department of Urology, University of California , San Francisco, San Francisco, California.
Takahiro Yasui2 Department of Nephro-urology, Nagoya City University Graduate School of Medical Sciences , Nagoya, Japan .
Thomas Chi1 Department of Urology, University of California , San Francisco, San Francisco, California.
Nagoya City University · JPUniversity of California, San Francisco · US

Funding

Optimizing Kidney Stone Management Using Metallomics and MetabolomicsP20DK100863 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI STOLLER, MARSHALL · 2013 to 2016
$1.6M
NIDDK NIH HHS P20 DK100863
6 · The paper itself

Abstract

introductionEndoscopic tools have provided versatile examination and treatment for kidney stone procedures. Despite endourologists researching urinary stone disease using endoscopes to collect tissue, this tissue collection method is limited. Endoscopically removed tissues are small in size, restricting the types of genome-based examination possible. We investigated a new method of renal papilla biopsy and RNA extraction to establish a genomic research methodology for kidney stone disease. PATIENTS AND

methodsWe conducted a prospective multi-institutional study and collected renal papilla specimens from consecutive percutaneous nephrolithotomy and ureteroscopy (URS) cases performed for removal of upper urinary tract stones. Renal papilla tissue was extracted using ureteroscopic biopsy forceps after stone removal. RNA was extracted using two different extraction kits, and their quantity and quality were examined. Additionally, the impact of biopsy on surgical complications was compared between cases performed with and without biopsy by matched case-control analysis adjusted for age, gender, body mass index, bilaterality, and stone burden.

resultsA total of 90 biopsies from 49 patients were performed, and the median duration between specimen collection and RNA extraction was 61 days. Both univariate and multivariate analyses showed BIGopsy

conclusionsWe demonstrate a safe methodology for optimal RNA extraction of renal papilla tissue. This technique will accelerate advanced genomic studies for kidney stone formers by facilitating larger tissue yields.

Indexed as

AdultAgedBiopsyCase-Control StudiesFemaleGenomicsHematocritHumansKidney CalculiKidney MedullaMaleMiddle AgedMultivariate AnalysisNephrolithotomy, PercutaneousProspective StudiesRNARNAkidney stone diseasepercutaneous nephrolithotomyRandall's plaquerenal papilla biopsyRNA extractionureteroscopy

Identifiers

PMID28719978
PMCPMC5610383
OpenAlexW2737834074

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.