Evidence map›Paper›PMID 32514878›Full record

Observational studyInternational journal of clinical oncology2020

Association between chronic kidney disease and mortality in stage IV cancer.

Taisuke Ishii, Takuya Fujimaru, Eriko Nakano, Osamu Takahashi, Masaaki Nakayama, Teruo Yamauchi, Yasuhiro Komatsu

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in International journal of clinical oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.1field-weighted citation impact, top 20% 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

17 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Observational
  5. Article
  6. Review
  7. Article
  8. The 'other' big complication: how chronic kidney disease impacts on cancer risks and outcomes.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2023
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Factors Associated with Different Survival Functions in Anticoagulated Patients with Chronic Kidney Disease.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    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 3 institutions in 1 country.

Taisuke IshiiDepartment of Nephrology, St. Luke's International Hospital, 9-1 Akashi-cho, Chuo-ku, Tokyo, 104-8560, Japan.
Takuya FujimaruDepartment of Nephrology, St. Luke's International Hospital, 9-1 Akashi-cho, Chuo-ku, Tokyo, 104-8560, Japan. t.fujimaru1217@gmail.com.ORCID http://orcid.org/0000-0002-6825-3456
Eriko NakanoDepartment of Medical Oncology, St. Luke's International Hospital, 9-1 Akashi-cho, Chuo-ku, Tokyo, 104-8560, Japan.
Osamu TakahashiGraduate School of Public Health, St. Luke's International University, OMURA Susumu and Mieko Memorial, St. Luke's Center for Clinical Academia 5th Floor, 3-6 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan.
Masaaki NakayamaDepartment of Nephrology, St. Luke's International Hospital, 9-1 Akashi-cho, Chuo-ku, Tokyo, 104-8560, Japan.
Teruo YamauchiDepartment of Medical Oncology, St. Luke's International Hospital, 9-1 Akashi-cho, Chuo-ku, Tokyo, 104-8560, Japan.
Yasuhiro KomatsuDepartment of Nephrology, St. Luke's International Hospital, 9-1 Akashi-cho, Chuo-ku, Tokyo, 104-8560, Japan.
St. Luke's International Hospital · JPGunma University · JPSt. Luke's International University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic kidney disease (CKD) is known to be associated with cancer mortality. However, no study has considered the well-known cancer prognostic factors, ECOG Performance Status (PS) and cancer treatment, as confounding factors. We assessed the independent relationship between CKD and cancer death in stage IV cancer patients.

methodsIn this retrospective observational study, we included stage IV cancer patients diagnosed from 2009 to 2014 in a single center. We collected baseline clinical and laboratory variables, and cancer-specific variables, and assessed the presence of CKD. Our primary outcome was all-cause mortality. The secondary outcome was cancer-specific mortality and site-specific cancer mortality.

resultsAmong 961 eligible stage IV cancer patients (median age 69 years, 51.8% male), 150 patients had CKD. During follow-up (median 9.8 months), 638 patients died, of whom 526 patients died from cancer. After adjusting for prognostic variables, including ECOG PS and cancer treatment, all-cause mortality and cancer-specific mortality were significantly higher in CKD patients than in non-CKD patients (HR 1.41, 95% CI 1.13-1.77 and HR 1.43, 95% CI 1.12-1.83, respectively). In patients with breast and kidney and urinary tract cancers, CKD was associated with a significantly increased risk of death (HR 7.01, 95% CI 1.47-33.4 and HR 3.33, 95% CI 1.42-7.78, respectively).

conclusionsCKD at the time of stage IV cancer diagnosis was associated with all-cause mortality and cancer-specific mortality. Moreover, the association between CKD and cancer-specific death was site specific for breast cancer and kidney and urinary tract cancer.

Indexed as

AgedFemaleGlomerular Filtration RateHumansKaplan-Meier EstimateMaleMiddle AgedNeoplasmsPrognosisProportional Hazards ModelsRenal Insufficiency, ChronicRetrospective StudiesRisk FactorsCancerChronic kidney diseaseECOG performance statusMortalityTreatment

Identifiers

PMID32514878
OpenAlexW3033125525

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.