Evidence map›Paper›PMID 41815364›Full record

ArticleAsian journal of urology2026

Clinical, pathological, and prognostic features of invasive pyelocaliceal urothelial carcinoma with venous thrombus: A propensity score-matched retrospective cohort study.

Zhanyi Zhang, Shaohui Deng, Yu Zhang, Ruiyang Xie, Min Lu, Yimeng Song, Yuehao Sun, LuLin Ma, Hongxian Zhang, Shudong Zhang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Asian journal of urology, 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

10 authors.

Zhanyi ZhangDepartment of Urology, Peking University Third Hospital, Beijing, China.
Shaohui DengDepartment of Urology, Peking University Third Hospital, Beijing, China.
Yu ZhangDepartment of Urology, Peking University Third Hospital, Beijing, China.
Ruiyang XieDepartment of Urology, Peking University Third Hospital, Beijing, China.
Min LuDepartment of Pathology, School of Basic Medical Sciences, Peking University Third Hospital, Peking University Health Science Center, Beijing, China.
Yimeng SongDepartment of Urology, Peking University Third Hospital, Beijing, China.
Yuehao SunDepartment of Urology, Peking University Third Hospital, Beijing, China.
LuLin MaDepartment of Urology, Peking University Third Hospital, Beijing, China.
Hongxian ZhangDepartment of Urology, Peking University Third Hospital, Beijing, China.
Shudong ZhangDepartment of Urology, Peking University Third Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To elucidate the clinical, pathological, and prognostic characteristics of invasive pyelocaliceal urothelial carcinoma (pUC) with venous thrombus (pUC-VT). Methods: The study included 23 pUC-VT patients and 88 pUC patients without venous thrombus (VT) from March 2016 to April 2022. The features of pUC-VT were detailed and were compared with those without VT. Normally distributed continuous variables were presented as mean±standard deviation; non-normally distributed variables were expressed as median (interquartile range); categorical variables were described as Results: After matching, all 23 pUC-VT patients were paired with pUC patients without VT, revealing significant differences only in open surgery rates (48% Conclusion: Patients with pUC-VT face a higher risk of early death and recurrence, necessitating multimodal treatment strategies to improve prognosis.

Indexed as

PrognosisPropensity-matchedRadical nephroureterectomyUpper tract urothelial carcinomaVenous thrombus

Identifiers

PMID41815364
PMCPMC12974159

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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.