Evidence map›Paper›PMID 24421896›Full record

ArticlePloS one2014

External validation and evaluation of reliability and validity of the S-ReSC scoring system to predict stone-free status after percutaneous nephrolithotomy.

Min Soo Choo, Chang Wook Jeong, Jae Hyun Jung, Seung Bae Lee, Hyeon Jeong, Hwancheol Son, Hyeon Hoe Kim, Seung-June Oh, Sung Yong Cho

Abstract 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 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

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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

15 citing papers in PubMed.

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4 · The record

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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.

Min Soo ChooDepartment of Urology, Seoul National University Hospital, Seoul, Korea.
Chang Wook JeongDepartment of Urology, Seoul National University Hospital, Seoul, Korea.
Jae Hyun JungDepartment of Urology, Seoul National University Hospital, Seoul, Korea.
Seung Bae LeeDepartment of Urology, Seoul National University Boramae Medical Center, Seoul, Korea.
Hyeon JeongDepartment of Urology, Seoul National University Boramae Medical Center, Seoul, Korea.
Hwancheol SonDepartment of Urology, Seoul National University Boramae Medical Center, Seoul, Korea.
Hyeon Hoe KimDepartment of Urology, Seoul National University Hospital, Seoul, Korea.
Seung-June OhDepartment of Urology, Seoul National University Hospital, Seoul, Korea.
Sung Yong ChoDepartment of Urology, Seoul National University Boramae Medical Center, Seoul, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe Seoul National University Renal Stone Complexity (S-ReSC) scoring system was developed to predict the stone-free rate (SFR) after single-tract percutaneous nephrolithotomy (PCNL). This study is an external validation of this scoring system. MATERIALS AND

methodsA retrospective review included 327 patients who underwent PCNL at 2 tertiary referral centers. The S-ReSC score was assigned from 1 to 9 based on the number of sites involved. The stone free status was defined as either complete clearance or clinically insignificant residual fragments <4 mm in size at 1 month follow-up imaging. Inter-observer and test-retest reliabilities were evaluated. The statistical performance of the prediction model was assessed by its predictive accuracy, predictive probability, and clinical usefulness.

resultsThe overall SFR was 65.4%. SFRs were 83.9%, 47.6%, and 21.4% in low (1-2), intermediate (3-4), and high (5-9) score groups, respectively, with significant differences (P<0.001). Inter-observer and test-retest reliabilities revealed almost perfect agreements. External validation of the S-ReSC scoring system revealed an AUC of 0.731 (95% CI 0.675-0.788). The AUC of 3-titered S-ReSC score groups was 0.691 (95% CI, 0.629-0.753). The calibration plot showed that the predicted probability of SFR had a concordance comparable to that of the observed frequency. The Hosmer-Lemeshow goodness-of-fit statistic revealed an adequate performance of the predictive model (P = 0.10). Inter-observer and test-retest reliability showed a good level of agreement.

conclusionsThe S-ReSC scoring system is useful in predicting the post-PCNL SFR and in describing the complexity of renal stones.

Indexed as

Research DesignCalibrationDemographyFemaleHumansKidney CalculiLogistic ModelsMaleMiddle AgedMultivariate AnalysisNephrostomy, PercutaneousObserver VariationReproducibility of Results

Identifiers

PMID24421896
PMCPMC3885452

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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.