Evidence map›Paper›PMID 30003323›Full record

ArticleLangenbeck's archives of surgery2018

Renal cell cancer after kidney transplantation.

Dennis Kleine-Döpke, Matthias Oelke, Anke Schwarz, Ysabell Schwager, Frank Lehner, Jürgen Klempnauer, Harald Schrem

Abstract read
PubMed Publisher
In one paragraph

Article in Langenbeck's archives of surgery, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

10 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
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  10. Partial nephrectomy for a completely endophytic tumor in an allograft kidney, 14 years after transplantation.Indian journal of urology : IJU : journal of the Urological Society of India
    Article
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

7 authors at 1 institution in 1 country.

Dennis Kleine-DöpkeDepartment of General, Visceral and Transplant Surgery, Hannover Medical School, Carl-Neuberg-Straße 1, 30625, Hannover, Germany. kleine-doepke.dennis@mh-hannover.de.ORCID http://orcid.org/0000-0001-6515-3508
Matthias OelkeDepartment of Urology, St. Antonius Hospital, Gronau, Germany.
Anke SchwarzDepartment of Nephrology, Hannover Medical School, Hannover, Germany.
Ysabell SchwagerCore Facility Quality Management and Health Technology Assessment in Transplantation, Integrated Research and Treatment Facility Transplantation (IFB-Tx), Hannover Medical School, Hannover, Germany.
Frank LehnerDepartment of General, Visceral and Transplant Surgery, Hannover Medical School, Carl-Neuberg-Straße 1, 30625, Hannover, Germany.
Jürgen KlempnauerDepartment of General, Visceral and Transplant Surgery, Hannover Medical School, Carl-Neuberg-Straße 1, 30625, Hannover, Germany.
Harald SchremDepartment of General, Visceral and Transplant Surgery, Hannover Medical School, Carl-Neuberg-Straße 1, 30625, Hannover, Germany.
Medizinische Hochschule Hannover · DE

Funding

Bundesministerium für Bildung und Forschung 01EO1302
6 · The paper itself

Abstract

purposeThis study aims to identify modifiable risk factors for de novo renal cell carcinoma (RCC) after kidney transplantation in a matched-pair approach matching for unmodifiable factors. PATIENTS AND

methodsOne thousand six hundred fifty-five adults who underwent kidney transplantation in the period 1 January 2000 to 31 December 2012 were analyzed. Patients with RCC after kidney transplantation were matched in a 1:2 ratio with those without RCC using the indication for transplantation, age at transplantation (± 10 years), recipient sex (male/female), number of received transplants, living organ donor transplantation (yes/no), and time of follow-up in days as matching criteria. The paired t test was used to compare continuous variables and the Cochran-Mantel-Haenszel test for categorical variables. Multivariable conditional logistic regression modeling was used to identify independent risk factors for RCC.

resultsIn matched-pair analysis, a total number of 26 incident cases with RCC after kidney transplantation could be matched. Post-transplant RCC was significantly associated with longer durations of pre-transplant hemodialysis (p = 0.007) and post-transplant immunosuppression with cyclosporine (p = 0.029) and/or mycophenolate mofetil (p = 0.020) and with larger proportions of post-transplant time on mycophenolate mofetil (p = 0.046) and/or prednisolone medication (p = 0.042). Multivariable conditional logistic regression modeling revealed a significant risk increasing multiplicative factor interaction between the duration of pre-transplant dialysis (years) and the time of prednisolone usage (percent/100). Cyclosporine A usage and mycophenolate mofetil usage were also revealed as independent, significant risk factors for RCC development.

conclusionsLonger pre-transplant dialysis, cyclosporine-based protocols and/or intensified immunosuppression with additional mycophenolate mofetil, and larger proportions of time of prednisolone treatment during follow-up increase de novo RCC risk.

Indexed as

AdultAgedCarcinoma, Renal CellCyclosporineFemaleHumansImmunosuppression TherapyImmunosuppressive AgentsKidney Failure, ChronicKidney NeoplasmsKidney TransplantationMaleMatched-Pair AnalysisMiddle AgedMycophenolic AcidPrednisoloneCyclosporineImmunosuppressive AgentsMycophenolic AcidPrednisoloneCyclosporineHemodialysisImmunosuppressionRenal cell cancerRenal transplantation

Identifiers

PMID30003323
OpenAlexW2849238418

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.