Evidence map›Paper›PMID 39862290›Full record

ArticleAbdominal radiology (New York)2025

Computed tomography-based nomogram for estimating progression-free survival probability in bladder cancer patients undergoing partial cystectomy.

Ting Cao, Xiaolin Zhu, Chuanchao Guo, Hui Zhang, Lihua Chen, Tianran Zhang, Simeng Jiang, Xudong Gao, Ximing Wang, Wen Shen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Abdominal radiology (New York), 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

10 authors.

Ting CaoThe First Central Clinical College, Tianjin Medical University, Tianjin, China.
Xiaolin ZhuDepartment of Radiology, the Affiliated Taian City Central Hospital of Qingdao University, Tai'an, Shandong Province, China.
Chuanchao GuoDepartment of Radiology, the Affiliated Taian City Central Hospital of Qingdao University, Tai'an, Shandong Province, China.
Hui ZhangDepartment of Radiology, the Affiliated Taian City Central Hospital of Qingdao University, Tai'an, Shandong Province, China.
Lihua ChenDepartment of Radiology, Tianjin First Central Hospital, Tianjin Institute of Imaging Medicine, School of Medicine, Nankai University, Tianjin, China.
Tianran ZhangDepartment of Radiology, the Affiliated Taian City Central Hospital of Qingdao University, Tai'an, Shandong Province, China.
Simeng JiangDepartment of Radiology, the Affiliated Taian City Central Hospital of Qingdao University, Tai'an, Shandong Province, China.
Xudong GaoDepartment of Radiology, the Affiliated Taian City Central Hospital of Qingdao University, Tai'an, Shandong Province, China.
Ximing WangDepartment of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong Province, China. wxming369@163.com.
Wen ShenDepartment of Radiology, Tianjin First Central Hospital, Tianjin Institute of Imaging Medicine, School of Medicine, Nankai University, Tianjin, China. shenwen66happy@126.com.

Funding

National Natural Science Foundation of China 82271971National Natural Science Foundation of China 82271993Natural Science Foundation of Tianjin Municipality 21JCYBJC01640Tianjin Key Medical Discipline (Specialty) Construction Project TJYXZDXK-041A
6 · The paper itself

Abstract

purposeTo establish a prognostic model to estimate progression-free survival (PFS) probability in bladder cancer (BCa) patients undergoing partial cystectomy. MATERIAL AND

methodsConsecutive patients who underwent partial cystectomy between August 2012 and April 2021 were enrolled. The primary endpoint was PFS during the follow-up. The following features were assessed: tumor location, amount, size, tortuous blood vessels around or within the lesions, perivesical fat stranding, stalk, computed tomography (CT) enhancement, calcification, cystic degeneration, CT reported lymph nodes status, and presence of hydronephrosis. Univariate Cox regression and LASSO regression, followed by backward stepwise multivariable Cox, were used to construct the nomogram.

resultsA total of 106 patients were enrolled. Gender, histology, tortuous blood vessels, and perivesical fat stranding were used to fit the nomogram. The overall Harrell's concordance index (C-index) was 0.752. The area under the receiver operator characteristic curves (AUC) at 1-year, 2-year and 3-year were 0.733, 0.789 and 0.833, respectively. The calibration curves showed remarkable consistency.

conclusionA nomogram model constructed based on the CT features and clinical risk factors is potentially feasible for predicting the PFS within 3 years after PC for BCa, which can assist in the choice of treatment and follow-up scheduling.

Indexed as

CystectomyNomogramsTomography, X-Ray ComputedUrinary Bladder NeoplasmsAgedAged, 80 and overFemaleHumansMaleMiddle AgedPrognosisProgression-Free SurvivalRetrospective StudiesBladder cancerBladder preservationCTPartial CystectomyProgression

Identifiers

PMID39862290
PMCPMC12267374

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.