Evidence map›Paper›PMID 25897246›Full record

ArticleOncoTargets and therapy2015

Development of a preliminary nomogram to predict progression of bone scan for castration-resistant prostate cancer.

Guo-Wen Lin, Ding-Wei Ye, Hui-Xun Jia, Bo Dai, Hai-Liang Zhang, Yao Zhu, Guo-Hai Shi, Chun-Guang Ma

Abstract read
In one paragraph

Article in OncoTargets and therapy, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

8 authors.

Guo-Wen LinDepartment of Urology, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, People's Republic of China ; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China.
Ding-Wei YeDepartment of Urology, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, People's Republic of China ; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China.
Hui-Xun JiaDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China ; Department of Clinical Statistics Center, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, People's Republic of China.
Bo DaiDepartment of Urology, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, People's Republic of China ; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China.
Hai-Liang ZhangDepartment of Urology, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, People's Republic of China ; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China.
Yao ZhuDepartment of Urology, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, People's Republic of China ; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China.
Guo-Hai ShiDepartment of Urology, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, People's Republic of China ; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China.
Chun-Guang MaDepartment of Urology, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, People's Republic of China ; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The optimal time to perform bone scan to detect new metastasis during the castration-resistant prostate cancer (CRPC) stage remains undefined. This study attempted to identify predictors of progression of bone scan for CRPC, and use such information to develop a nomogram to predict the optimal time of examinations for bone scan. The analysis included 167 CRPC patients. Progression of bone lesion, as evaluated by bone scan, occurred in 64 (38.3%) cases. A logistic regression identified the following three risk factors: short time to prostate-specific antigen (PSA) progression, severe pain, and short PSA doubling time (PSADT) (P<0.05 for all). A nomogram model was constructed to predict progression of bone scan using time to PSA progression and severe pain as dichotomized variables and PSADT as a continuous variable. The result indicated that a predictive nomogram model showed a bootstrap-corrected concordance index of 0.762 and good calibration using the three readily available variables, and there were worse prognosis and higher progression rate of bone scan for patients with time to PSA progression <6.6 months, severe pain, and short PSADT (<2 months). In conclusion, short time to PSA progression, severe pain, and short PSADT are three risk factors of progression of bone scan for CRPC patients. The predictive nomogram model may be a valuable numerical assessment tool for patient consultation and treatment decision.

Indexed as

bone scancastration-resistant prostate cancernomogrampredictorprogression

Identifiers

PMID25897246
PMCPMC4396577

What OpenQuestion holds

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Registered trials

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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.