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MP42-02 URINARY HUMAN PAPILLOMA VIRUS INFECTION AND BLADDER CANCER RISK: A SYSTEMATIC REVIEW AND A PRISMA-COMPLIANT META-ANALYSIS

2022· review· en· W4225249822 on OpenAlexaboutno aff
D. García-Rojo, Jesús Muñoz-Rodríguez, Clara Centeno, Á. Prera, Carlos Arroyo Abad, Eduardo Vicente, J.L. Gonzalez-Sala, N. Hannaoui, Arturo Dominguez-Garcia, Marta Capdevila, Leticia de Verdonces, Anna Pujol Ferran, Carmina Pla, Paula Azuara, Silvia Cuadrench, Maria Eugenia Zegri, Juan Prats

Bibliographic record

VenueThe Journal of Urology · 2022
Typereview
Languageen
FieldMedicine
TopicBladder and Urothelial Cancer Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsGarciaMedicineHuman papilloma virusMeta-analysisCancerHumanitiesArtPathologyInternal medicineCervical cancer

Abstract

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You have accessJournal of UrologyCME1 May 2022MP42-02 URINARY HUMAN PAPILLOMA VIRUS INFECTION AND BLADDER CANCER RISK: A SYSTEMATIC REVIEW AND A PRISMA-COMPLIANT META-ANALYSIS Dario Garcia-Rojo, Jesus Muñoz-Rodriguez, Clara Centeno, Angel Prera, Carlos Abad, Eduardo Vicente, Jose Luis Gonzalez-Sala, Naim Hannaoui, Arturo Dominguez-Garcia, Marta Capdevila, Leticia de Verdonces, Anna Ferran, Carmina Pla, Paula Azuara, Silvia Cuadrench, Maria Eugenia Zegri, and Juan Prats Dario Garcia-RojoDario Garcia-Rojo More articles by this author , Jesus Muñoz-RodriguezJesus Muñoz-Rodriguez More articles by this author , Clara CentenoClara Centeno More articles by this author , Angel PreraAngel Prera More articles by this author , Carlos AbadCarlos Abad More articles by this author , Eduardo VicenteEduardo Vicente More articles by this author , Jose Luis Gonzalez-SalaJose Luis Gonzalez-Sala More articles by this author , Naim HannaouiNaim Hannaoui More articles by this author , Arturo Dominguez-GarciaArturo Dominguez-Garcia More articles by this author , Marta CapdevilaMarta Capdevila More articles by this author , Leticia de VerdoncesLeticia de Verdonces More articles by this author , Anna FerranAnna Ferran More articles by this author , Carmina PlaCarmina Pla More articles by this author , Paula AzuaraPaula Azuara More articles by this author , Silvia CuadrenchSilvia Cuadrench More articles by this author , Maria Eugenia ZegriMaria Eugenia Zegri More articles by this author , and Juan PratsJuan Prats More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000002608.02AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: Association between human papilloma virus (HPV) infection and risk of bladder cancer (BlCa) remain inconclusive. We carried out a systematic review and a PRISMA-compliant meta-analysis of the available case-control studies in order to verify possible differences in the occurrence of HPV infection in urine samples in patients with BlCa and normal subjects. METHODS: A systematic review of the literature and a PRISMA-compliant meta-analysis was performed using the PICO method with the aim of answering the following clinical question: "Is urinary infection with HPV a risk factor for the development of a BlCa?". PubMed was used to search for articles published from January 1965 to October 2021 using the key words "bladder cancer" and "human papilloma virus". Case-control studies reporting Odds Ratio (OR) for HPV infection in urine samples in patients with BlCa and and normal subjects were analyzed. The quality of the studies was evaluated by the New Castle Ottawa scale. Data were combined using random effect models. The Cochrane χ2 (Cochrane Q) statistic and the I2 test were used to analyze heterogeneity. The publication bias was graphically explored through funnel plot, and Duval and Tweedie ′s ″trim-and-fill″ test was used to correct possible publication bias. RESULTS: Among 251 articles, 35 were selected to be fully read. The selection process yielded four case-control studies with eligibly criteria for analysis, that gave information on 150 patients with HPV infection in urine and 1259 patients without HPV infection in urine. The quality scores according to the New Castle-Ottawa scale of all included studies were 9, suggesting that all included studies were eligible for synthesized analysis. The pooled OR estimated showed that patients with HPV infection in urine exhibit a significantly higher prevalence in BlCa than patients without HPV infection (OR = 2.94, 95%CI: 1.805, 4.788; p= 0.002). We obtained a heterogeneity χ2value Q exp=2.317 (p=0.509) (I2 = 0%). Funnel plot not suggested a possible publication bias in the analysis. CONCLUSIONS: The pooled OR value showed a moderate relationship between urinary HPV infection and BlCa risk. HPV infection in the urine may have a role in carcinogenesis of the bladder tumor. Source of Funding: none © 2022 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 207Issue Supplement 5May 2022Page: e730 Advertisement Copyright & Permissions© 2022 by American Urological Association Education and Research, Inc.MetricsAuthor Information Dario Garcia-Rojo More articles by this author Jesus Muñoz-Rodriguez More articles by this author Clara Centeno More articles by this author Angel Prera More articles by this author Carlos Abad More articles by this author Eduardo Vicente More articles by this author Jose Luis Gonzalez-Sala More articles by this author Naim Hannaoui More articles by this author Arturo Dominguez-Garcia More articles by this author Marta Capdevila More articles by this author Leticia de Verdonces More articles by this author Anna Ferran More articles by this author Carmina Pla More articles by this author Paula Azuara More articles by this author Silvia Cuadrench More articles by this author Maria Eugenia Zegri More articles by this author Juan Prats More articles by this author Expand All Advertisement PDF DownloadLoading ...

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.049
metaresearch head score (Gemma)0.171
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.049
Threshold uncertainty score0.259

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0490.171
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0150.037
Bibliometrics0.0040.006
Science and technology studies0.0010.001
Scholarly communication0.0050.004
Open science0.0040.003
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.0210.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.111
GPT teacher head0.386
Teacher spread0.274 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2022
Admission routes1
Has abstractyes

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