Evidence map›Paper›PMID 27162508›Full record

ArticleReviews in urology2016

Nephrolithometric Scoring Systems to Predict Outcomes of Percutaneous Nephrolithotomy.

Simone L Vernez, Zhamshid Okhunov, Piruz Motamedinia, Vincent Bird, Zeph Okeke, Arthur Smith

Abstract read
PubMed Full text at PMC
In one paragraph

Article in Reviews in urology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

6 authors.

Simone L VernezDepartment of Urology, University of California, Irvine, Irvine, CA.
Zhamshid OkhunovDepartment of Urology, University of California, Irvine, Irvine, CA.
Piruz MotamediniaDepartment of Urology, Yale School of Medicine, New Haven, CT.
Vincent BirdDepartment of Urology, University of Florida, Gainesville, FL.
Zeph OkekeThe Arthur DM Smith Institute for Urology, North Shore-LIJ Health System, New Hyde Park, NY.
Arthur SmithThe Arthur DM Smith Institute for Urology, North Shore-LIJ Health System, New Hyde Park, NY.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Currently, there is no single agreement upon an ideal predictive model that characterizes the complexity of renal stones and predicts surgical outcomes following percutaneous nephrolithotomy (PCNL). New predictive tools have recently emerged to systematically and quantitatively assess kidney stone complexity to predict outcomes following PCNL: the Guy's Stone Score, the CROES nomogram, S.T.O.N.E. nephrolithometry, and S-ReSC score. An ideal scoring system should include variables that both influence surgical planning and are predictive of postoperative outcomes. This review discusses the strengths, weaknesses, and commonalities of each of the above scoring systems. Additionally, we propose future directions for the development and analysis of surgical treatment for stone disease, namely, the importance of assessing radiation exposure and patient quality of life when counseling patients on treatment options.

Indexed as

NomogramsScoring systemUrolithiasis

Identifiers

PMID27162508
PMCPMC4859924

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.