Evidence map›Paper›PMID 30958434›Full record

ArticleChinese medical journal2019

Development and validation of a preoperative nomogram for predicting positive surgical margins after laparoscopic radical prostatectomy.

Xiao-Jun Tian, Zhao-Lun Wang, Geng Li, Shuang-Jie Cao, Hao-Ran Cui, Zong-Han Li, Zhuo Liu, Bo-Lun Li, Lu-Lin Ma, Shen-Rong Zhuang and 1 more

Abstract read
In one paragraph

Article in Chinese medical journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
–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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  9. Development of preoperative nomograms to predict the risk of overall and multifocal positive surgical margin after radical prostatectomy.Cancer imaging : the official publication of the International Cancer Imaging Society · 2024
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  18. Preoperative prostate magnetic resonance imaging does not impact surgical outcomes of radical prostatectomy.Indian journal of urology : IJU : journal of the Urological Society of India
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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

11 authors.

Xiao-Jun TianDepartment of Urology, Peking University Third Hospital, Beijing 100191, China.
Zhao-Lun WangPeking University First Medical School, Peking University First Hospital, Beijing 100034, China.
Geng LiDepartment of Urology, Peking University Third Hospital, Beijing 100191, China.
Shuang-Jie CaoPeking University First Medical School, Peking University First Hospital, Beijing 100034, China.
Hao-Ran CuiPeking University Second Medical School, Peking University People's Hospital, Beijing 100044, China.
Zong-Han LiPeking University First Medical School, Peking University First Hospital, Beijing 100034, China.
Zhuo LiuDepartment of Urology, Peking University Third Hospital, Beijing 100191, China.
Bo-Lun LiInstitute of Biomedical English, Peking University Health Science Center, Beijing 100191, China.
Lu-Lin MaDepartment of Urology, Peking University Third Hospital, Beijing 100191, China.
Shen-Rong ZhuangDepartment of Urology, Peking University Third Hospital, Beijing 100191, China.
Qi-Yan XiaoKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute, Beijing 100142, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPositive surgical margins are independent risk factor for biochemical recurrence, local recurrence, and distant metastasis after radical prostatectomy. However, limited predictive tools are available. This study aimed to develop and validate a preoperative nomogram for predicting positive surgical margins after laparoscopic radical prostatectomy (LRP).

methodsFrom January 2010 to March 2016, a total of 418 patients who underwent LRP without receiving neoadjuvant therapy at Peking University Third Hospital were retrospectively involved in this study. Clinical and pathological results of each patient were collected for further analysis. Univariable and multivariable logistic regression (backward stepwise method) were used for the nomogram development. The concordance index (CI), calibration curve analysis and decision curve analysis were used to evaluate the performance of our model.

resultsOf 418 patients involved in this study, 142 patients (34.0%) had a positive surgical margin on final pathology. Based on the backward selection, four variables were included in the final multivariable regression model, including the percentage of positive cores in preoperative biopsy, clinical stage, free prostate specific antigen (fPSA)/total PSA (tPSA), and age. A nomogram was developed using these four variables. The concordance index (C-index) of the nomogram was 0.722 in the development cohort and 0.700 in the bootstrap validations. The bias-corrected calibration plot showed a limited departure from the ideal line with a mean absolute error of 2.0%. In decision curve analyses, the nomogram showed net benefits in the range from 0.2 to 0.7.

conclusionA nomogram to predict positive surgical margins after LRP was developed and validated, which could help urologists plan surgical procedures.

Indexed as

AgedHumansLaparoscopyMaleMargins of ExcisionMiddle AgedNomogramsProstatectomyProstatic NeoplasmsRetrospective StudiesROC Curve

Identifiers

PMID30958434
PMCPMC6595765

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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.