Evidence map›Paper›PMID 37113984›Full record

ArticleCancer management and research2023

Establishment and Validation of a Novel Prediction Model for Early Natural Biochemical Recurrence After Radical Prostatectomy Based on Post-Operative PSA at Sixth Week.

Bijun Lian, Min Qu, Wenhui Zhang, Zhenyang Dong, Huan Chen, Zepeng Jia, Yan Wang, Jing Li, Xu Gao

Abstract read
In one paragraph

Article in Cancer management and research, 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
–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

1 citing paper in PubMed.

  1. Journal of racial and ethnic health disparities · 2026
    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

9 authors.

Bijun Lian *Department of Urology, Changhai Hospital, Naval Medical University, Shanghai, People's Republic of China.ORCID 0000-0001-9387-2120
Min Qu *Department of Urology, Changhai Hospital, Naval Medical University, Shanghai, People's Republic of China.
Wenhui Zhang *Department of Urology, Changhai Hospital, Naval Medical University, Shanghai, People's Republic of China.
Zhenyang DongDepartment of Urology, Changhai Hospital, Naval Medical University, Shanghai, People's Republic of China.
Huan ChenDepartment of Urology, Changhai Hospital, Naval Medical University, Shanghai, People's Republic of China.
Zepeng JiaDepartment of Urology, Changhai Hospital, Naval Medical University, Shanghai, People's Republic of China.
Yan WangDepartment of Urology, Changhai Hospital, Naval Medical University, Shanghai, People's Republic of China.
Jing LiCentre for Translational Medicine, Naval Medical University, Shanghai, People's Republic of China.
Xu GaoDepartment of Urology, Changhai Hospital, Naval Medical University, Shanghai, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Based on post-operative PSA at 6th week (PSA Methods: A total of 742 patients with post-operative PSA Results: The C-index of the new model was 0.871 (95% CI: 0.830-0.912). The calibration curve of the new model demonstrated superior consistency between the predicted and actual value. The C-index of the external validation group was 0.850 (95% CI: 0.742-0.958), which demonstrated perfect universality. The integrated discrimination improvement showed a 12.61% improvement in prediction performance over that of the classical Kattan nomogram (P < 0.01). Based on the new nomogram, patients were divided to high and low BCR group with a 3 year BCR-free cutoff probability as 74.72%. Low-risk patients, accounting for 77.89% of the patients, have no need to follow up frequently with a false-negative rate only 5.24%, which will save medical resources to a large extent. Conclusion: Post-operative PSA6w is a sensitive risk biomarker for early natural BCR. The new nomogram model could predict BCR probability with a higher accuracy and will further simplify the clinical follow-up strategies.

Indexed as

biochemical recurrencenomogrampost-operative PSAprediction modelprostate cancer

Identifiers

PMID37113984
PMCPMC10126833

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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.