Evidence map›Paper›PMID 36650836›Full record

ArticlePeerJ2023

Development and validation of a novel risk model in newly diagnosed

Yang Zhang, Junqi Wang, Li Ding, Yuxin Zheng, Chuang Wu, Kun Wang, Wentao Xia, Peng Ge

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Review
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 at 1 institution in 1 country.

Yang Zhang *Department of Urology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China.
Junqi Wang *Department of Urology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China.
Li DingDepartment of Urology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China.
Yuxin ZhengDepartment of Urology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China.
Chuang WuDepartment of Urology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China.
Kun WangDepartment of Urology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China.
Wentao XiaDepartment of Urology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China.
Peng GeDepartment of Urology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China.
Xuzhou Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Previous studies suggested that bone metastasis has a significant effect on the time of progression to metastatic castration-resistant prostate cancer (CRPC) for newly diagnosed Methods: We enrolled 122 patients who were newly diagnosed with Results: The median patient age was 73 years. Most patients had Gleason score ≤8 (93 cases, 76.2%). The median follow-up duration was 11.5 months (range: 2-92 months). Eighty-six patients progressed to CRPC during the follow-up. The most common bone metastatic site was the pelvis (90.2%). The median BMS was 4. Seventy-six patients had HRG, while forty-six had LRG. The 1-, 2-, and 3-year AUCs for H/LRG were 0.620, 0.754, and 0.793, respectively. The HRG was associated with earlier time to CRPC. A nomogram based on four parameters (Gleason score, H/LRG, prostate-specific antigen [PSA] nadir, and time to PSA nadir) was developed to predict CRPC. Internal validation using bootstrapping demonstrated good accuracy for predicting the CRPC (C-index: 0.727). The calibration analysis demonstrated that the model performed well. Conclusion: We established a novel H/LRG risk model for newly diagnosed

Indexed as

Bone NeoplasmsProstatic Neoplasms, Castration-ResistantAgedAndrogen AntagonistsHumansMaleProstate-Specific AntigenRetrospective StudiesRisk FactorsAndrogen AntagonistsProstate-Specific AntigenBone metastatic prostate cancerM1bRisk model

Identifiers

PMID36650836
PMCPMC9840864
OpenAlexW4315781337

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.