Evidence map›Paper›PMID 35396747›Full record

ArticleJournal of clinical laboratory analysis2022

Red blood cell distribution width-to-albumin ratio is associated with all-cause mortality in cancer patients.

Chengdong Lu, Jianyun Long, Haiyuan Liu, Xupin Xie, Dong Xu, Xin Fang, Yuandong Zhu

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Article in Journal of clinical laboratory analysis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

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55citing papers in PubMed
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1 · What the graph read from it

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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.

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3 · Its place in the literature

Who cites it

55 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Chengdong LuDepartment of Anorectal, Yiwu Central Hospital, Yiwu, China.
Jianyun LongDepartment of Vascular Surgery, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Haiyuan LiuDepartment of Anorectal, Yiwu Central Hospital, Yiwu, China.
Xupin XieDepartment of Vascular Surgery, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Dong XuDepartment of Vascular Surgery, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Xin FangDepartment of Vascular Surgery, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID https://orcid.org/0000-0002-0218-7310
Yuandong ZhuDepartment of Anorectal, Yiwu Central Hospital, Yiwu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCancer causes a serious health burden on patients worldwide. Chronic low-level inflammation plays a key role in tumorigenesis and prognosis. However, the role of the red blood cell distribution width (RDW)-to-albumin (RA) ratio in cancer mortality remains unclear.

methodsIn this retrospective cohort study, we collected clinical information from cancer patients from the Medical Information Mart for Intensive Care III (MIMIC-III) version 1.4 database and then calculated RA by dividing RDW by albumin concentration. The primary outcome was 30 days mortality, while secondary outcomes were 90 days and 1 year mortality. Next, we adopted Cox regression models to calculate hazard ratios (HR) together with 95% confidence intervals (CI) for all-cause mortalities associated with the RA ratio.

resultsFor 30 days mortality, the HR (95% CI) for the high RA ratio (≥5.51) was 2.17 [95CI% (1.87-2.51); p = <0.0001], compared with the low RA ratio (<5.51). In Model 2, we adjusted sex and age and obtained HR (95% CI) of 2.17 [95CI% (1.87-2.52); p = <0.0001] for the high RA ratio (≥5.51) group, compared to that in the low RA ratio (<5.51). In Model 3, adjusting for age, sex, anion gap, hematocrit, white blood cell count, congestive heart failure, SOFA, liver disease, and renal failure resulted in HR (95% CI) of 1.74 [95CI% (1.48-2.04); p = <0.0001] for the high RA ratio (≥5.51) relative to the low RA ratio (<5.51). We also analyzed common diseases in cancer patients but found no significant association.

conclusionTo the best of our knowledge, this is the first study demonstrating that increased RA ratio is independently associated with increased all-cause mortality in cancer patients.

Indexed as

Erythrocyte IndicesMortalityNeoplasmsAlbuminsErythrocytesHumansPrognosisRetrospective StudiesAlbuminsalbumincancermedical information mart for intensive care-IIIRDW

Identifiers

PMID35396747
PMCPMC9102686

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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.