Evidence map›Paper›PMID 34620128›Full record

ArticleBMC urology2021

Development and validation of a preoperative nomogram for predicting patients with impacted ureteral stone: a retrospective analysis.

Chenglu Wang, Lu Jin, Xinyang Zhao, Boxin Xue, Min Zheng

Abstract readValidation Study
In one paragraph

Article in BMC urology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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  7. Ureteric wall thickness as a novel predictor for failed retrograde ureteric stent placement.Canadian Urological Association journal = Journal de l'Association des urologues du Canada · 2024
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  8. Predictive factors for prolonged operative time in ureteroscopic lithotripsy for ureteral stones A retrospective cohort study.Canadian Urological Association journal = Journal de l'Association des urologues du Canada · 2024
    Article
  9. 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

5 authors.

Chenglu WangReproductive Medicine Center, Department of Reproductive Endocrinology, Affiliated People's Hospital, Zhejiang Provincial People's Hospital, Hangzhou Medical College, No.158 Shangtang Road, Hangzhou, 310014, Zhejiang, People's Republic of China.
Lu JinDepartment of Urology, Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, People's Republic of China.
Xinyang ZhaoDepartment of Urology, Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, People's Republic of China.
Boxin XueDepartment of Urology, Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, People's Republic of China.
Min ZhengReproductive Medicine Center, Department of Reproductive Endocrinology, Affiliated People's Hospital, Zhejiang Provincial People's Hospital, Hangzhou Medical College, No.158 Shangtang Road, Hangzhou, 310014, Zhejiang, People's Republic of China. reprodw@foxmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo develop and validate a practical nomogram for predicting the probability of patients with impacted ureteral stone.

methodsBetween June 2020 to March 2021, 214 single ureteral stones received ureteroscopy lithotripsy (URSL) were selected in development group. While 82 single ureteral stones received URSL between April 2021 to May 2021 were included in validation group. Independent factors for predicting impacted ureteral stone were screened by univariate and multivariate logistic regression analysis. The relationship between preoperative factors and stone impaction was modeled according to the regression coefficients. Discrimination and calibration were estimated by area under the receiver operating characteristic (AUROC) curve and calibration curve respectively. Clinical usefulness of the nomogram was evaluated by decision curve analysis.

resultsAge, ipsilateral stone treatment history, hydronephrosis and maximum ureteral wall thickness (UWT

conclusionsWe developed and validated an individualized model to predict impacted ureteral stone prior to surgery. Through this prediction model, urologists can select an optimal treatment method and decrease intraoperative and postoperative complications for patients with impacted ureteral calculus.

Indexed as

LithotripsyNomogramsUreteroscopyAdultAgedFemaleForecastingHumansMaleMiddle AgedRetrospective StudiesUreteral CalculiComputed tomography (CT)Impacted stoneNomogramsUreteroscopyUrolithiasis

Identifiers

PMID34620128
PMCPMC8499416

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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.