Evidence map›Paper›PMID 35847838›Full record

SynthesisFrontiers in oncology2022

A Systematic Review and Meta-Analysis of Prognostic Nomograms After UTUC Surgery.

Maximilian Pallauf, Frederik König, David D'Andrea, Ekaterina Laukhtina, Hadi Mostafaei, Reza Sari Motlagh, Fahad Quhal, Abdulmajeed Aydh, Takafumi Yanagisawa, Tatsushi Kawada and 12 more

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Frontiers in oncology, 2022. 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
4.6field-weighted citation impact, top 5% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 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

22 authors at 13 institutions in 13 countries.

Maximilian PallaufDepartment of Urology, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.
Frederik KönigDepartment of Urology, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.
David D'AndreaDepartment of Urology, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.
Ekaterina LaukhtinaDepartment of Urology, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.
Hadi MostafaeiDepartment of Urology, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.
Reza Sari MotlaghDepartment of Urology, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.
Fahad QuhalDepartment of Urology, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.
Abdulmajeed AydhDepartment of Urology, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.
Takafumi YanagisawaDepartment of Urology, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.
Tatsushi KawadaDepartment of Urology, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.
Pawel RajwaDepartment of Urology, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.
Lukas LusuardiDepartment of Urology, University Hospital Salzburg, Paracelsus Medical University, Salzburg, Austria.
Francesco SoriaDivision of Urology, Department of Surgical Sciences, San Giovanni Battista Hospital, University of Studies of Torino, Turin, Italy.
Pierre I KarakiewiczCancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montréal Health Center, Montréal, QC, Canada.
Morgan RouprêtDepartment of Urology, Pitié Salpétrière Hospital, Oncotype-Uro, Sorbonne University, Paris, France.
Michael RinkDepartment of Urology, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany.
Yair LotanDepartment of Urology, University of Texas Southwestern, Dallas, TX, United States.
Vitaly MargulisDepartment of Urology, University of Texas Southwestern, Dallas, TX, United States.
Nirmish SinglaDepartments of Urology and Oncology, The James Buchanan Brady Urological Institute, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Evanguelos XylinasDepartment of Urology, CHU Bichat, Paris, France.
Shahrokh F ShariatDepartment of Urology, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.
Benjamin PradereDepartment of Urology, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.
Comprehensive Cancer Center Vienna · ATMedical University of Vienna · ATThe University of Texas Southwestern Medical Center · USAzienda Ospedaliero Universitaria San Giovanni Battista · ITCornell University · USHôpital Bichat-Claude-Bernard · FRJohns Hopkins Medicine · USOkayama University · JPParacelsus Medical University · ATPitié-Salpêtrière Hospital · FRSechenov University · RUUniversität Hamburg · DEUniversité de Montréal · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Current guidelines recommend assessing the prognosis in high-risk upper tract urothelial carcinoma patients (UTUC) after surgery. However, no specific method is endorsed. Among the various prognostic models, nomograms represent an easy and accurate tool to predict the individual probability for a specific event. Therefore, identifying the best-suited nomogram for each setting seems of great interest to the patient and provider. Objectives: To identify, summarize and compare postoperative UTUC nomograms predicting oncologic outcomes. To estimate the overall performance of the nomograms and identify the most reliable predictors. To create a reference tool for postoperative UTUC nomograms, physicians can use in clinical practice. Design: A systematic review was conducted following the recommendations of Cochrane's Prognosis Methods Group. Medline and EMBASE databases were searched for studies published before December 2021. Nomograms were grouped according to outcome measurements, the purpose of use, and inclusion and exclusion criteria. Random-effects meta-analyses were performed to estimate nomogram group performance and predictor reliability. Reference tables summarizing the nomograms' important characteristics were created. Results: The systematic review identified 26 nomograms. Only four were externally validated. Study heterogeneity was significant, and the overall Risk of Bias (RoB) was high. Nomogram groups predicting overall survival (OS), recurrence-free survival (RFS), and intravesical recurrence (IVR) had moderate discrimination accuracy (c-Index summary estimate with 95% confidence interval [95% CI] and prediction interval [PI] > 0.6). Nomogram groups predicting cancer-specific survival (CSS) had good discrimination accuracy (c-Index summary estimate with 95% CI and PI > 0.7). Advanced pathological tumor stage (≥ pT3) was the most reliable predictor of OS. Pathological tumor stage (≥ pT2), age, and lymphovascular invasion (LVI) were the most reliable predictors of CSS. LVI was the most reliable predictor of RFS. Conclusions: Despite a moderate to good discrimination accuracy, severe heterogeneity discourages the uninformed use of postoperative prognostic UTUC nomograms. For nomograms to become of value in a generalizable population, future research must invest in external validation and assessment of clinical utility. Meanwhile, this systematic review serves as a reference tool for physicians choosing nomograms based on individual needs. Systematic Review Registration: https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=282596, identifier PROSPERO [CRD42021282596].

Indexed as

nomogramsoncologic outcomeprognostic modelsupper tract urothelial carcinomaUTUC

Identifiers

PMID35847838
PMCPMC9283688
OpenAlexW4283762101

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.