Evidence map›Paper›PMID 24936784›Full record

ArticlePloS one2014

Pre- and post-operative nomograms to predict recurrence-free probability in korean men with clinically localized prostate cancer.

Minyong Kang, Chang Wook Jeong, Woo Suk Choi, Yong Hyun Park, Sung Yong Cho, Sangchul Lee, Seung Bae Lee, Ja Hyeon Ku, Sung Kyu Hong, Seok-Soo Byun and 6 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 14% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

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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

16 authors at 3 institutions in 1 country.

Minyong KangDepartment of Urology, Seoul National University Hospital, Seoul, Republic of Korea.
Chang Wook JeongDepartment of Urology, Seoul National University Hospital, Seoul, Republic of Korea.
Woo Suk ChoiDepartment of Urology, Seoul National University Hospital, Seoul, Republic of Korea.
Yong Hyun ParkDepartment of Urology, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Sung Yong ChoDepartment of Urology, Seoul National University Boramae Hospital, Seoul, Republic of Korea.
Sangchul LeeDepartment of Urology, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Seung Bae LeeDepartment of Urology, Seoul National University Boramae Hospital, Seoul, Republic of Korea.
Ja Hyeon KuDepartment of Urology, Seoul National University Hospital, Seoul, Republic of Korea.
Sung Kyu HongDepartment of Urology, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Seok-Soo ByunDepartment of Urology, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Hyeon JeongDepartment of Urology, Seoul National University Boramae Hospital, Seoul, Republic of Korea.
Cheol KwakDepartment of Urology, Seoul National University Hospital, Seoul, Republic of Korea.
Hyeon Hoe KimDepartment of Urology, Seoul National University Hospital, Seoul, Republic of Korea.
Eunsik LeeDepartment of Urology, Seoul National University Hospital, Seoul, Republic of Korea.
Sang Eun LeeDepartment of Urology, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Seoul National University-Uro-Oncology Group
Seoul National University · KRSeoul National University Hospital · KRSeoul National University Bundang Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesAlthough the incidence of prostate cancer (PCa) is rapidly increasing in Korea, there are few suitable prediction models for disease recurrence after radical prostatectomy (RP). We established pre- and post-operative nomograms estimating biochemical recurrence (BCR)-free probability after RP in Korean men with clinically localized PCa. PATIENTS AND

methodsOur sampling frame included 3,034 consecutive men with clinically localized PCa who underwent RP at our tertiary centers from June 2004 through July 2011. After inappropriate data exclusion, we evaluated 2,867 patients for the development of nomograms. The Cox proportional hazards regression model was used to develop pre- and post-operative nomograms that predict BCR-free probability. Finally, we resampled from our study cohort 200 times to determine the accuracy of our nomograms on internal validation, which were designated with concordance index (c-index) and further represented by calibration plots.

resultsOver a median of 47 months of follow-up, the estimated BCR-free rate was 87.8% (1 year), 83.8% (2 year), and 72.5% (5 year). In the pre-operative model, Prostate-Specific Antigen (PSA), the proportion of positive biopsy cores, clinical T3a and biopsy Gleason score (GS) were independent predictive factors for BCR, while all relevant predictive factors (PSA, extra-prostatic extension, seminal vesicle invasion, lymph node metastasis, surgical margin, and pathologic GS) were associated with BCR in the post-operative model. The c-index representing predictive accuracy was 0.792 (pre-) and 0.821 (post-operative), showing good fit in the calibration plots.

conclusionsIn summary, we developed pre- and post-operative nomograms predicting BCR-free probability after RP in a large Korean cohort with clinically localized PCa. These nomograms will be provided as the mobile application-based SNUH Prostate Cancer Calculator. Our nomograms can determine patients at high risk of disease recurrence after RP who will benefit from adjuvant therapy.

Indexed as

NomogramsProstatectomyAgedDisease-Free SurvivalHumansLymphatic MetastasisMaleMiddle AgedNeoplasm GradingPostoperative PeriodPreoperative PeriodProbabilityProportional Hazards ModelsProstate-Specific AntigenProstatic NeoplasmsRepublic of KoreaProstate-Specific Antigen

Identifiers

PMID24936784
PMCPMC4061043
OpenAlexW2020148939

What OpenQuestion holds

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LicenceCC BY
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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.