Evidence map›Paper›PMID 36132210›Full record

ArticleFrontiers in surgery2022

Removal of large fibrotic bladder blood clots using prostatic tissue morcellator under real-time ultrasound guidance.

Ronghua Wu, Yonggang Shang, Xing Liu, Wei Chen, Shanhong Yi

Open access · goldAbstract read
In one paragraph

Article in Frontiers in surgery, 2022. 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, top 79% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

5 authors at 3 institutions in 1 country.

Ronghua WuDepartment of Urology, Xinqiao Hospital of Army Medical University, Chongqing, China.
Yonggang ShangReproductive Medicine Center, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Xing LiuDepartment of Urology, Xinqiao Hospital of Army Medical University, Chongqing, China.
Wei ChenDepartment of Urology, Xinqiao Hospital of Army Medical University, Chongqing, China.
Shanhong YiDepartment of Urology, Xinqiao Hospital of Army Medical University, Chongqing, China.
Army Medical University · CNXinqiao Hospital · CNFirst Affiliated Hospital of Chongqing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Large fibrotic bladder blood clots are difficult to treat Methods: We chose 9 patients with large fibrotic bladder blood clots who were treated in our department from January 2019 to December 2020. Under the condition that conventional methods were ineffective in removing the bladder blood clot, real-time ultrasound guidance combined with a prostatic tissue morcellator was used to remove the large fibrotic bladder blood clot through the steps of positioning, breaking, adjusting repositioning and recrushing. After removal, the bipolar electrocautery was replaced to stop bleeding of the bladder mucosa. Results: All patients successfully underwent the operation. After the blood clot was removed, the bladder mucosa was examined. There was no damage to the bladder mucosa or muscle layer. The urine was clear at the end of the procedure with slow irrigation, and no bleeding was found again. Conclusion: Real-time ultrasound guidance combined with a prostate tissue morcellator was a safe, effective and quick method for the removal of large fibrotic bladder blood clots.

Indexed as

applicationbladder blood clotprostatic tissue morcellatorremovalultrasound guidance

Identifiers

PMID36132210
PMCPMC9483016
OpenAlexW4294628228

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.