Evidence map›Paper›PMID 34786998›Full record

Trial reportThe Journal of international medical research2021

A new nomogram for the prediction of bone metastasis in patients with prostate cancer.

Gang Bai, Zhonglin Cai, Xiuxia Zhai, Jian Xiong, Fa Zhang, Hongjun Li

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in The Journal of international medical research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 24% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
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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

6 authors at 4 institutions in 1 country.

Gang BaiCenter for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
Zhonglin CaiDepartment of Urology, 34732Peking Union Medical College Hospital, 34732Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.ORCID https://orcid.org/0000-0002-8098-8922
Xiuxia ZhaiHealth Service Department of the Guard Bureau of the General Office of the Central Committee of the Communist Party of China, Beijing, China.
Jian XiongDepartment of Urology, 34732Peking Union Medical College Hospital, 34732Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.
Fa ZhangDepartment of Urology, Gansu Provincial Hospital, Chengguan District, Lanzhou, Gansu, China.
Hongjun LiDepartment of Urology, 34732Peking Union Medical College Hospital, 34732Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.ORCID https://orcid.org/0000-0002-5931-777X
Chinese Academy of Medical Sciences & Peking Union Medical College · CNCentral Committee of the Communist Party of China · CNGansu Provincial Hospital · CNShandong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to establish a new prognostic nomogram for bone metastasis in patients with prostate cancer (PCa).

methodsThis study retrospectively analyzed clinical data from 332 patients diagnosed with PCa from 2014 to 2019, and patients were randomly divided into a training set (n = 184) and a validation set (n = 148). Multivariate logistic regression analysis was used to establish a prediction model based on the training set, and a nomogram was constructed for visual presentation. The calibration, discrimination and clinical usefulness of the model were evaluated using the validation set.

resultsTotal prostate-specific antigen, clinical tumor stage, Gleason score, prostate volume, red cell distribution width and serum alkaline phosphatase were selected as predictors to develop a prediction model of bone metastasis. After evaluation, the model developed in our study exhibited good discrimination (area under the curve: 0.958; 95% confidence interval: 0.93-0.98), calibration (U = 0.01) and clinical usefulness.

conclusionsThe new proposed model showed high accuracy for bone metastasis prediction in patients with PCa and good clinical usefulness.

Indexed as

Bone NeoplasmsProstatic NeoplasmsHumansMaleNeoplasm GradingNomogramsRetrospective Studiesbone metastasisclinical usefulnessnomogrampredictorprostate cancerRisk prediction model

Identifiers

PMID34786998
PMCPMC8619760
OpenAlexW3212680446

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.