Evidence map›Paper›PMID 25788992›Full record

ArticleOncology letters2015

Animal models for bladder cancer: The model establishment and evaluation (Review).

Ning Zhang, Dongyang Li, Jialiang Shao, Xiang Wang

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

23 citing papers in PubMed, 30 citations in OpenAlex.

  1. Review
  2. Review
  3. Pigs: Large Animal Preclinical Cancer Models.World journal of oncology · 2024
    Review
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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

4 authors at 1 institution in 1 country.

Ning ZhangDepartment of Urology, Huashan Hospital, Fudan University, Shanghai, P.R. China ; Fudan Institute of Urology, Huashan Hospital, Fudan University, Shanghai, P.R. China.
Dongyang LiDepartment of Urology, Huashan Hospital, Fudan University, Shanghai, P.R. China ; Fudan Institute of Urology, Huashan Hospital, Fudan University, Shanghai, P.R. China.
Jialiang ShaoDepartment of Urology, Huashan Hospital, Fudan University, Shanghai, P.R. China ; Fudan Institute of Urology, Huashan Hospital, Fudan University, Shanghai, P.R. China.
Xiang WangDepartment of Urology, Huashan Hospital, Fudan University, Shanghai, P.R. China ; Fudan Institute of Urology, Huashan Hospital, Fudan University, Shanghai, P.R. China.
Huashan Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bladder cancer is the most common type of tumor in the urogenital system. Approximately 75% of patients with bladder cancer present with non-muscle-invasive cancer, which is generally treated by transurethral resection and intravesical chemotherapy. In spite of different therapeutic options, there remains a very variable risk of recurrence and progression. Novel therapeutic methods of treating bladder cancer are urgently required. The exploration and preclinical evaluation of new treatments requires an animal tumor model that mimics the human counterpart. Animal models are key in bladder cancer research and provide a bridge to the clinic. Various animal bladder cancer models have been described to date, but the tumor take rate is reported to be 30-100%. Establishment of reliable, simple, practicable and reproducible animal models remains an ongoing challenge. The present review summarizes the latest developments with regard to the establishment of animal models and tumor evaluation.

Indexed as

animal modelsbladder cancerheterotopic modelsliving tissue graftingorthotopic models

Identifiers

PMID25788992
PMCPMC4356294
OpenAlexW2120102559

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.