Evidence map›Paper›PMID 29480866›Full record

ArticleMedicine2018

Prevalence and mortality of chronic kidney disease in lymphoma patients: A large retrospective cohort study.

Masamitsu Ubukata, Masaki Hara, Yuki Nishizawa, Teruhiro Fujii, Kosaku Nitta, Akihito Ohta

Abstract read
In one paragraph

Article in Medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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

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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Chronic Kidney Disease and Cancer: Inter-Relationships and Mechanisms.Frontiers in cell and developmental biology · 2022
    Review
  7. Early, empiric high-dose leucovorin rescue in lymphoma patients treated with sequential doses of high-dose methotrexate.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2021
    Article
  8. Article
  9. 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

6 authors.

Masamitsu UbukataDivision of Nephrology, Department of Medicine, Tokyo Metropolitan Komagome Hospital, Bunkyo-Ku Department IV, Internal Medicine, Tokyo Women's Medical University, Shinjuku-ku, Tokyo, Japan.
Masaki Hara
Yuki Nishizawa
Teruhiro Fujii
Kosaku Nitta
Akihito Ohta

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In patients with lymphoma, an important issue that has been recognized is renal involvement, including glomerulonephritis, acute kidney injury, and lymphoma infiltrating the kidney. However, the prevalence and mortality of chronic kidney disease (CKD) have not been fully understood in lymphoma patients. This study aimed to evaluate the prevalence of CKD and its impact on mortality in those patients.This was a retrospective cohort study of 429 consecutive lymphoma patients who were admitted or regularly visited our hospital from January 2013 to October 2016. CKD was defined as estimated glomerular filtration rate (eGFR) < 60 mL/min/1.73 m and/or proteinuria ≥ 1+ that was sustained for at least 3 months. The prevalence of CKD at enrollment was evaluated according to the modified CKD classification by Kidney Disease: Improving Global Outcomes (KDIGO) (eGFR and proteinuria category). Dipstick proteinuria was classified into 3 grades: A1 for - and ±; A2 for 1+ or 2+; and A3 for ≥3+. The eGFR (mL/min/1.73 m) was classified into 6 stages: G1 for ≥90, G2 for 60 to 89, G3a for 45 to 59, G3b for 30 to 44, G4 for 15 to 29, and G5 for <15. The cumulative mortality rate was estimated using the Kaplan-Meier method, with stratification into 2 groups based on the presence or absence of CKD. Furthermore, a multivariate Cox proportional hazards regression model was used to calculate the hazard ratio (HR) and its 95% confidence interval (CI) for all-cause mortality, after adjustments for age, sex, pathologic type, clinical stage of lymphoma, presence or absence of diabetes mellitus, hypertension, and cardiovascular disease.The mean follow-up period was 3.06 ± 0.96 years, and the prevalence of CKD at study enrollment was 34.5%. The cumulative mortality rate was 20.7%, and was significantly higher in the CKD group than in the group without CKD (36.4% vs 18.0%, P = .02). Multivariate analysis found mortality to be significantly associated with CKD (HR 1.58; 95% CI, 1.01-2.46), and this association was the most robust with very high-risk CKD (HR 6.94; 95% CI, 2.50-17.33).The prevalence of CKD in lymphoma patients was high. CKD should be considered an independent risk factor for mortality among patients with lymphoma.

Indexed as

ComorbidityFemaleFollow-Up StudiesHumansKaplan-Meier EstimateLymphomaMaleMiddle AgedMultivariate AnalysisPrevalenceProportional Hazards ModelsRenal Insufficiency, ChronicRetrospective StudiesRisk Factors

Identifiers

PMID29480866
PMCPMC5943889

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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.