Evidence map›Paper›PMID 30557371›Full record

ArticlePloS one2018

Evaluation of renal oxygen saturation using photoacoustic imaging for the early prediction of chronic renal function in a model of ischemia-induced acute kidney injury.

Kenichiro Okumura, Junichi Matsumoto, Yasunori Iwata, Kotaro Yoshida, Norihide Yoneda, Takahiro Ogi, Azusa Kitao, Kazuto Kozaka, Wataru Koda, Satoshi Kobayashi and 5 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

17 citing papers in PubMed, 27 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

15 authors at 2 institutions in 1 country.

Kenichiro OkumuraDepartment of Radiology, Kanazawa University School of Medical Science, Kanazawa, Ishikawa, Japan.ORCID 0000-0001-8131-7584
Junichi MatsumotoDepartment of Radiology, Kanazawa University School of Medical Science, Kanazawa, Ishikawa, Japan.ORCID 0000-0002-0190-7806
Yasunori IwataDivision of Nephrology, Kanazawa University Hospital, Kanazawa, Ishikawa, Japan.
Kotaro YoshidaDepartment of Radiology, Kanazawa University School of Medical Science, Kanazawa, Ishikawa, Japan.ORCID 0000-0002-8398-0969
Norihide YonedaDepartment of Radiology, Kanazawa University School of Medical Science, Kanazawa, Ishikawa, Japan.
Takahiro OgiDepartment of Radiology, Kanazawa University School of Medical Science, Kanazawa, Ishikawa, Japan.
Azusa KitaoDepartment of Radiology, Kanazawa University School of Medical Science, Kanazawa, Ishikawa, Japan.
Kazuto KozakaDepartment of Radiology, Kanazawa University School of Medical Science, Kanazawa, Ishikawa, Japan.
Wataru KodaDepartment of Radiology, Kanazawa University School of Medical Science, Kanazawa, Ishikawa, Japan.
Satoshi KobayashiDepartment of Radiology, Kanazawa University School of Medical Science, Kanazawa, Ishikawa, Japan.ORCID 0000-0001-7759-399X
Dai InoueDepartment of Radiology, Kanazawa University School of Medical Science, Kanazawa, Ishikawa, Japan.
Norihiko SakaiDivision of Nephrology, Kanazawa University Hospital, Kanazawa, Ishikawa, Japan.
Kengo FuruichiDivision of Nephrology, Kanazawa University Hospital, Kanazawa, Ishikawa, Japan.
Takashi WadaDepartment of Nephrology and laboratory, Kanazawa University, Kanazawa, Ishikawa, Japan.
Toshifumi GabataDepartment of Radiology, Kanazawa University School of Medical Science, Kanazawa, Ishikawa, Japan.
Kanazawa University · JPKanazawa University Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate the utility of photoacoustic imaging in measuring changes in renal oxygen saturation after ischemia-induced acute kidney injury, and to compare these measurements with histological findings and serum levels of kidney function. MATERIAL AND

methodsAcute kidney injury was induced by clamping the left renal pedicle in C57Bl/6 mice, with a 35-min ischemic period used to induce mild renal injury (14 mice) and a 50-min period for severe injury (13 mice). The oxygen saturation was measured before induction, and at 5 time-points over the first 48 h after induction, starting at 4 h after induction. Oxygen saturation, histological score, kidney volume, and the 24 h creatinine clearance rate and serum blood urea nitrogen were also measured on day 28. Between-group differences were evaluated using a Mann-Whitney U-test and Dunn's multiple comparisons. The association between oxygen saturation and measured variables was evaluated using Spearman's correlation. A receiver operator characteristic curve was constructed from oxygen saturation values at 24 h after heminephrectomy to predict chronic renal function.

resultsThe oxygen saturation was higher in the mild than severe renal injury group at 24 h after induction (73.7% and 66.9%, respectively, P<0.05). Between-group comparison on day 28 revealed a higher kidney volume (P = 0.007), lower tubular injury (P<0.001), lower serum level of blood urea nitrogen level (P = 0.016), and lower 24 h creatinine clearance rate (P = 0.042) in the mild compared with the severe injury group. The oxygen saturation at 24 h correlated with the 24 h creatinine clearance rate (P = 0.036) and serum blood urea nitrogen (P<0.001) on day 28, with an area under the receiver operating curve of 0.825.

conclusionOxygen saturation, measured by photoacoustic imaging at 24 h after acute kidney injury can predict the extent of subsequent histological alterations in the kidney early after injury.

Indexed as

Acute Kidney InjuryIschemiaPhotoacoustic TechniquesAnimalsDisease Models, AnimalKidney Function TestsMaleMiceOxygenOxygen

Identifiers

PMID30557371
PMCPMC6296502
OpenAlexW2904648120

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LicenceCC BY
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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.