Evidence map›Paper›PMID 30922296›Full record

ArticleBMC nephrology2019

Increased cancer risk in patients undergoing dialysis: a population-based cohort study in North-Eastern Italy.

Martina Taborelli, Federica Toffolutti, Stefania Del Zotto, Elena Clagnan, Lucrezia Furian, Pierluca Piselli, Franco Citterio, Loris Zanier, Giuliano Boscutti, Diego Serraino and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC nephrology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 13% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.

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  19. Otorhinolaryngological dysfunctions induced by chronic kidney disease in pre- and post-transplant stages.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2020
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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

11 authors at 4 institutions in 1 country.

Martina TaborelliCancer Epidemiology Unit, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, via Franco Gallini 2, 33081, Aviano, (PN), Italy. mtaborelli@cro.it.ORCID 0000-0002-6731-7569
Federica ToffoluttiCancer Epidemiology Unit, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, via Franco Gallini 2, 33081, Aviano, (PN), Italy.
Stefania Del ZottoCancer Epidemiology Unit, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, via Franco Gallini 2, 33081, Aviano, (PN), Italy.
Elena ClagnanAzienda Regionale di Coordinamento per la Salute, Udine, Italy.
Lucrezia FurianKidney and Pancreas Transplantation Unit, Padua University Hospital, Padua, Italy.
Pierluca PiselliDepartment of Epidemiology and Pre-Clinical Research, National Institute for Infectious Diseases "L. Spallanzani", Rome, Italy.
Franco CitterioRenal Transplantation Unit, Department of Surgical Science, Università Cattolica Sacro Cuore, Rome, Italy.
Loris ZanierAzienda Regionale di Coordinamento per la Salute, Udine, Italy.
Giuliano BoscuttiAzienda Sanitaria Universitaria Integrata di Trieste, Trieste, Italy.
Diego SerrainoCancer Epidemiology Unit, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, via Franco Gallini 2, 33081, Aviano, (PN), Italy.
Italian Transplant & Cancer Cohort Study
Centro di Riferimento Oncologico · ITUniversità Cattolica del Sacro Cuore · ITUniversity of Padua · ITAzienda Sanitaria Universitaria Integrata di Trieste · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn southern Europe, the risk of cancer in patients with end-stage kidney disease receiving dialysis has not been well quantified. The aim of this study was to assess the overall pattern of risk for de novo malignancies (DNMs) among dialysis patients in the Friuli Venezia Giulia region, north-eastern Italy.

methodsA population-based cohort study among 3407 dialysis patients was conducted through a record linkage between local healthcare databases and the cancer registry (1998-2013). Person-years (PYs) were calculated from 30 days after the date of first dialysis to the date of DNM diagnosis, kidney transplant, death, last follow-up or December 31, 2013, whichever came first. The risk of DNM, as compared to the general population, was estimated using standardized incidence ratios (SIRs) and 95% confidence intervals (CIs).

resultsDuring 10,798 PYs, 357 DNMs were diagnosed in 330 dialysis patients. A higher than expected risk of 1.3-fold was found for all DNMs combined (95% CI: 1.15-1.43). The risk was particularly high in younger dialysis patients (SIR = 1.88, 95% CI: 1.42-2.45 for age 40-59 years), and it decreased with age. Moreover, significantly increased DNM risks emerged during the first 3 years since dialysis initiation, especially within the first year (SIR = 8.52, 95% CI: 6.89-10.41). Elevated excess risks were observed for kidney (SIR = 3.18; 95% CI: 2.06-4.69), skin non-melanoma (SIR = 1.81, 95% CI: 1.46-2.22), oral cavity (SIR = 2.42, 95% CI: 1.36-4.00), and Kaposi's sarcoma (SIR = 10.29, 95% CI: 1.25-37.16).

conclusionsThe elevated risk for DNM herein documented suggest the need to implement a targeted approach to cancer prevention and control in dialysis patients.

Indexed as

Population SurveillanceAdultAgedCohort StudiesFemaleFollow-Up StudiesHumansItalyKidney Failure, ChronicMaleMiddle AgedNeoplasmsRegistriesRenal DialysisRisk FactorsCancer riskde novo malignanciesDialysisEnd-stage kidney diseaseItalyPopulation-based study

Identifiers

PMID30922296
PMCPMC6437907
OpenAlexW2942703456

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.