Evidence map›Paper›PMID 34742246›Full record

Observational studyBMC nephrology2021

Remnant renal volume can predict prognosis of remnant renal function in kidney transplantation donors: a prospective observational study.

Shunta Hori, Nobumichi Tanaka, Tatsuo Yoneda, Nobutaka Nishimura, Mitsuru Tomizawa, Tomonori Nakahama, Yasushi Nakai, Makito Miyake, Kazumasa Torimoto, Kiyoyuki Minamiguchi and 1 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC nephrology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
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  4. Review
  5. Observational
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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 1 institution in 1 country.

Shunta HoriDepartment of Urology, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8522, Japan.
Nobumichi TanakaDepartment of Urology, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8522, Japan. sendo@naramed-u.ac.jp.ORCID 0000-0001-9242-7877
Tatsuo YonedaDepartment of Urology, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8522, Japan.
Nobutaka NishimuraDepartment of Urology, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8522, Japan.
Mitsuru TomizawaDepartment of Urology, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8522, Japan.
Tomonori NakahamaDepartment of Urology, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8522, Japan.
Yasushi NakaiDepartment of Urology, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8522, Japan.
Makito MiyakeDepartment of Urology, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8522, Japan.
Kazumasa TorimotoDepartment of Urology, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8522, Japan.
Kiyoyuki MinamiguchiDepartment of Radiology and Nuclear Medicine, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8522, Japan.
Kiyohide FujimotoDepartment of Urology, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8522, Japan.
Nara Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSafety and survival during and after donor nephrectomy (DN) are one of the main concerns in living kidney donors (LKDs). Therefore, kidney (left/right) to be procured should be determined after considering the difficulty of DN, as well as the preservation of remnant renal function (RRF). In this prospective study, we investigated the roles of computed tomography volumetry (CTV) in split renal function (SRF) and established a predictive model for RRF in LKDs.

methodsWe assessed 103 LKDs who underwent DN at our institute. The Volume Analyzer SYNAPSE VINCENT image analysis system were used as CTV. RRF was defined as the estimated glomerular filtration rate (eGFR) 12 months after DN. The association between various factors measured by CTV and RRF were investigated, and a role of CTV on prediction for RRF was assessed.

resultsThe median age and the preoperative eGFR were 58 years and 80.7 mL/min/1.73m

conclusionsOur findings suggest that RRV/BSA measured by CTV can play an important role in predicting RRF, and a comprehensive assessment including age and CrCl is important to determine the kidney to be procured.

Indexed as

Kidney TransplantationLiving DonorsOrgan SizeAdultAgedAged, 80 and overFemaleGlomerular Filtration RateHumansKidneyKidney CortexMaleMiddle AgedNephrectomyPrognosisProspective StudiesRadiopharmaceuticalsTechnetium Tc 99m PentetateComputed tomography volumetryDonor selectionLiving donationLiving donor kidney transplantationRemnant renal functionRemnant renal volumeRenal scintigraphy

Identifiers

PMID34742246
PMCPMC8572493
OpenAlexW3213976901

What OpenQuestion holds

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LicenceCC BY
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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.