Evidence map›Paper›PMID 29441723›Full record

ArticleCancer medicine2018

Mortality risk after cancer diagnosis in kidney transplant recipients: the limitations of analyzing hospital administration data alone.

Francesca Jackson-Spence, Holly Gillott, Sanna Tahir, Jay Nath, Jemma Mytton, Felicity Evison, Adnan Sharif

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In one paragraph

Article in Cancer medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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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

7 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

7 authors.

Francesca Jackson-SpenceUniversity of Birmingham, Birmingham, B15 2TH, UK.
Holly GillottUniversity of Birmingham, Birmingham, B15 2TH, UK.
Sanna TahirUniversity of Birmingham, Birmingham, B15 2TH, UK.
Jay NathUniversity of Birmingham, Birmingham, B15 2TH, UK.
Jemma MyttonDepartment of Health Informatics, Queen Elizabeth Hospital, Edgbaston, Birmingham, B15 2WB, UK.
Felicity EvisonDepartment of Health Informatics, Queen Elizabeth Hospital, Edgbaston, Birmingham, B15 2WB, UK.
Adnan SharifUniversity of Birmingham, Birmingham, B15 2TH, UK.ORCID 0000-0002-7586-9136

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Administrative data are frequently used for epidemiological studies but its usefulness to analyze cancer epidemiology after kidney transplantation is unclear. In this retrospective population-based cohort study, we identified every adult kidney-alone transplant performed in England (2003-2014) using administrative data from Hospital Episode Statistics. Results were compared to the hospitalized adult general population in England to calculate standardized incidence and mortality ratios. Data were analyzed for 19,883 kidney allograft recipients, with median follow-up 6.0 years' post-transplantation. Cancer incidence was more common after kidney transplantation compared to the general population in line with published literature (standardized incidence ratio 2.47, 95% CI: 2.34-2.61). In a Cox proportional hazards model, cancer development was associated with increasing age, recipients of deceased kidneys, frequent readmissions within 12 months post-transplant and first kidney recipients. All-cause mortality risk for kidney allograft recipients with new-onset cancer was significantly higher compared to those remaining cancer-free (42.0% vs. 10.3%, respectively). However, when comparing mortality risk for kidney allograft recipients to the general population after development of cancer, risk was lower for both cancer-related (standardized mortality ratio 0.75, 95% CI: 0.71-0.79) and noncancer-related mortality (standardized mortality ratio 0.90, 95% CI: 0.85-0.95), which contradicts reported literature. Although some plausible explanations are conceivable, our analysis likely reflects the limitations of administrative data for analyzing cancer data. Future studies require record linkage with dedicated cancer registries to acquire more robust and accurate data relating to cancer epidemiology after transplantation.

Indexed as

Data AnalysisFemaleHospital AdministrationHumansKidney TransplantationMaleMiddle AgedMortalityRisk AssessmentCancerepidemiologyincidencekidney transplantmortality

Identifiers

PMID29441723
PMCPMC5852366

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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.