Evidence map›Paper›PMID 31640599›Full record

ArticleBMC nephrology2019

Cancer patterns and association with mortality and renal outcomes in non-dialysis dependent chronic kidney disease: a matched cohort study.

Rajkumar Chinnadurai, Emma Flanagan, Gordon C Jayson, Philip A Kalra

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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Chronic Kidney Disease and Cancer: Inter-Relationships and Mechanisms.Frontiers in cell and developmental biology · 2022
    Review
  8. Review
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

4 authors at 2 institutions in 1 country.

Rajkumar ChinnaduraiDepartment of Renal Medicine, Salford Royal NHS Foundation Trust, M6 8HD, Salford, UK. rajkumar.chinnadurai@srft.nhs.uk.ORCID 0000-0003-3973-6595
Emma FlanaganInformation Management and Technology, Salford Royal NHS Foundation Trust, Salford, UK.
Gordon C JaysonManchester Cancer Research Centre, University of Manchester, Manchester, UK.
Philip A KalraDepartment of Renal Medicine, Salford Royal NHS Foundation Trust, M6 8HD, Salford, UK.
Salford Royal NHS Foundation Trust · GBUniversity of Manchester · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCancer in patients with chronic kidney disease (CKD) is an added burden to their overall morbidity and mortality. Cancer can be a cause or an effect of CKD. In CKD patients, a better understanding of cancer distribution and associations can aid in the proper planning of renal replacement therapy (RRT) and in the choice of chemotherapeutic agents, many of which are precluded in more advanced CKD. This study aims to investigate the distribution and the association of cancer with mortality, renal progression and RRT assignment in a non-dialysis dependent CKD cohort, few studies have investigated this in the past.

methodsThe study was carried out on 2952 patients registered in the Salford Kidney Study (SKS) between October 2002 and December 2016. A comparative analysis was performed between 339 patients with a history of cancer (previous and current) and 2613 patients without cancer at recruitment. A propensity score matched cohort of 337 patients was derived from each group and used for analysis. Cox-regression models and Kaplan-Meier estimates were used to compare the association of cancer with mortality and end-stage renal disease (ESRD) outcomes. Linear regression analysis was applied to generate the annual rate of decline in estimated glomerular filtration rate (delta eGFR).

resultsOf our cohort, 13.3% had a history of cancer at recruitment and the annual rate of de novo cancers in the non-cancer patients was 1.6%. Urogenital cancers including kidney and bladder, and prostate and testicle in males, ovary and uterus in females, were the most prevalent cancers (46%), as expected from the anatomical or physiological roles of these organs and relationship to nephrology. Over a median follow-up of 48 months, 1084 (36.7%) of patients died. All-cause mortality was higher in the previous and current cancer group (49.6% vs 35%, p < 0.001), primarily because of cancer-specific mortality. Multivariate Cox regression analysis showed a strong association of cancer with all-cause mortality (HR:1.41; 95%CI: 1.12-1.78; p = 0.004). There was no difference between the groups regarding reaching end-stage renal disease (26% in both groups) or the rate of decline in eGFR (- 0.97 for cancer vs - 0.93 mL/min/year for non-cancer, p = 0.93). RRT uptake was similar between the groups (17.2% vs 19.3%, p = 0.49).

conclusionsCancer status proved to be an added burden and an independent risk factor for all-cause mortality but not for renal progression. CKD patients with a previous or current history of cancer should be assessed on a case by case basis in planning for renal replacement therapy options, and the presence of cancer should not be a limitation for RRT provision including transplantation.

Indexed as

AgedComorbidityDisease ProgressionFemaleFollow-Up StudiesGlomerular Filtration RateHumansKaplan-Meier EstimateKidney Failure, ChronicMaleMiddle AgedMortalityNeoplasmsProportional Hazards ModelsRenal Insufficiency, ChronicRenal Replacement TherapyAll-cause mortalityCancerChronic kidney disease (CKD)CKD progression, propensity score matchingEnd-stage renal disease

Identifiers

PMID31640599
PMCPMC6805476
OpenAlexW2981845725

What OpenQuestion holds

Textmetadata
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.