Evidence map›Paper›PMID 39897998›Full record

ArticleUrology case reports2025

Giant calyceal diverticulum diagnosed in pregnancy: A case report of successful percutaneous catheter management during pregnancy and robot-assisted calyceal diverticulectomy after delivery.

Takashi Sakaguchi, Yoichi Osako, Akihiko Mitsuke, Risako Ogawa, Himawari Takeyama, Ryosuke Matsushita, Hirofumi Yoshino, Shuichi Tatarano, Hideki Enokida

Abstract readCase Reports
PubMed Full text at PMC Publisher
In one paragraph

Article in Urology case reports, 2025. 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

9 authors.

Takashi SakaguchiDepartment of Urology, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan.
Yoichi OsakoDepartment of Urology, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan.
Akihiko MitsukeDepartment of Urology, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan.
Risako OgawaDepartment of Urology, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan.
Himawari TakeyamaDepartment of Urology, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan.
Ryosuke MatsushitaDepartment of Urology, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan.
Hirofumi YoshinoDepartment of Urology, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan.
Shuichi TataranoDepartment of Urology, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan.
Hideki EnokidaDepartment of Urology, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We report our experience with a pregnant patient with a giant calyceal diverticulum-a very rare presentation. A 30-year-old pregnant woman was referred to our department with left flank pain at 7 weeks of gestation. Ultrasonography and computed tomography showed a giant cystic lesion on the left kidney. Single-puncture drainage was performed, but when fluid immediately reaccumulated, a percutaneous catheter was placed. We suspected a fistula between the cystic lesion and renal pelvis. After delivery, we made a definitive diagnosis of a calyceal diverticulum and successfully performed robot-assisted calyceal diverticulectomy.

Indexed as

DiverticulumPercutaneous catheterPregnancyRenal pelvisRobot-assisted surgery

Identifiers

PMID39897998
PMCPMC11786649

What OpenQuestion holds

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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.