Evidence map›Paper›PMID 41077755›Full record

ArticleJournal of medical radiation sciences2026

A Qualitative Review of Clinical Decision-Making Using [

Akira Ohtsu, Seiji Arai, Tirso Peña, Yusuke Otani, Mai Onose-Kato, Yusuke Tsuji, Tatsuhiro Sawada, Yuji Fujizuka, Yoshitaka Sekine, Hidekazu Koike and 2 more

Abstract read
In one paragraph

Article in Journal of medical radiation sciences, 2026. 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

12 authors.

Akira OhtsuDepartment of Urology, Gunma University Graduate School of Medicine, Maebashi, Gunma, Japan.
Seiji AraiDepartment of Urology, Gunma University Graduate School of Medicine, Maebashi, Gunma, Japan.ORCID https://orcid.org/0000-0002-9514-735X
Tirso PeñaDepartment of Pathology, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA.
Yusuke OtaniDepartment of Pathology, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA.
Mai Onose-KatoDepartment of Urology, Gunma University Graduate School of Medicine, Maebashi, Gunma, Japan.
Yusuke TsujiDepartment of Urology, Gunma University Graduate School of Medicine, Maebashi, Gunma, Japan.
Tatsuhiro SawadaDepartment of Urology, Gunma University Graduate School of Medicine, Maebashi, Gunma, Japan.
Yuji FujizukaDepartment of Urology, Gunma University Graduate School of Medicine, Maebashi, Gunma, Japan.
Yoshitaka SekineDepartment of Urology, Gunma University Graduate School of Medicine, Maebashi, Gunma, Japan.
Hidekazu KoikeDepartment of Urology, Gunma University Graduate School of Medicine, Maebashi, Gunma, Japan.
Tetsuya HiguchiDepartment of Diagnostic and Interventional Radiology, Gunma University Graduate School of Medicine, Maebashi, Gunma, Japan.
Kazuhiro SuzukiDepartment of Urology, Gunma University Graduate School of Medicine, Maebashi, Gunma, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionUrinary drainage (ureteral stenting or percutaneous nephrostomy) is commonly used for malignant ureteral obstruction (MUO), but optimal indications remain unclear. [

methodsWe retrospectively reviewed 44 MUO patients who underwent MAG

resultsAmong the conservative group (n = 15), MAG

conclusionFourteen of 15 patients treated conservatively after MAG

Indexed as

Clinical Decision-MakingKidneyRadionuclide ImagingTechnetium Tc 99m MertiatideUreteral ObstructionAgedAged, 80 and overFemaleHumansMaleMiddle AgedRetrospective StudiesTechnetium Tc 99m Mertiatide[99mTc]Tc‐MAG3 scintigraphyconservative treatmenthydronephrosismalignant ureteral obstructionradioisotopes

Identifiers

PMID41077755
PMCPMC12950512

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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.