Evidence map›Paper›PMID 35844990›Full record

ArticleEJHaem2020

Fatal renal diseases among patients with hematological malignancies: A population-based study.

Sen Li, Kaixu Yu, Ying Chen, Wenjing Luo, Yongqiang Zheng, Yun Yang, Xue Yang, Xi Wang, Xiaolan Gao, Xindi Wang and 1 more

Abstract read
In one paragraph

Article in EJHaem, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

11 authors.

Sen LiDepartment of Urology, Union Hospital, Tongji Medical College Huazhong University of Science and Technology Wuhan China.
Kaixu YuDepartment of Orthopedics, Tongji Hospital, Tongji Medical College Huazhong University of Science and Technology Wuhan China.
Ying ChenDepartment of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College Huazhong University of Science and Technology Wuhan China.
Wenjing LuoDepartment of Hematology, Union Hospital, Tongji Medical College Huazhong University of Science and Technology Wuhan China.
Yongqiang ZhengCancer Center, Union Hospital, Tongji Medical College Huazhong University of Science and Technology Wuhan China.
Yun YangDepartment of Ultrasound, Union Hospital, Tongji Medical College Huazhong University of Science and Technology Wuhan China.
Xue YangDepartment of Breast and Thyroid Surgery, Tongji Hospital, Tongji Medical College Huazhong University of Science and Technology Wuhan China.
Xi WangCancer Center, Union Hospital, Tongji Medical College Huazhong University of Science and Technology Wuhan China.
Xiaolan GaoCancer Center, Union Hospital, Tongji Medical College Huazhong University of Science and Technology Wuhan China.
Xindi WangCancer Center, Union Hospital, Tongji Medical College Huazhong University of Science and Technology Wuhan China.
Bian WuCancer Center, Union Hospital, Tongji Medical College Huazhong University of Science and Technology Wuhan China.ORCID https://orcid.org/0000-0002-4024-4291

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients with hematological malignancies might be at high risk for renal diseases as evidenced by earlier studies. We aim to investigate the mortality and risk factors of deaths due to renal diseases in this population. A total of 831 535 patients diagnosed with hematological malignancies in the Surveillance, Epidemiology, and End Results (SEER) database in the United States from 1975 to 2016 were identified. Standardized mortality ratio (SMR) was evaluated based on the general population's mortality data gathered by the National Center for Health Statistics. The mortality rate associated with renal diseases was 94.22/100 000 person-years among patients with hematological malignancies (SMR = 3.59; 95% CI, 3.48-3.70]). The highest mortality rate of dying from renal diseases was observed among multiple myeloma (MM) patients (307.99/100 000 person-years; SMR = 7.98; 95% CI, 7.49-8.50), followed by those with chronic myeloid leukemia (142.57/100 000 person-years; SMR = 6.54; 95% CI, 5.63-7.60) and chronic lymphocytic leukemia (103.66/100 000 person-years; SMR = 2.51; 95% CI, 2.27-2.77). The SMRs increased with time and were found to be the highest 10 years after cancer diagnosis. Independent predictors associated with death from renal diseases were found to be older age, male gender, blacks, unmarried, and MM, using the Cox proportional hazards model. We call for enhanced coordinated multidisciplinary care between hematologists and nephrologists to reduce the mortality rate of renal diseases among patients with hematological malignancies.

Indexed as

hematological malignanciesmortalityrenal diseasesstandardized mortality ratio

Identifiers

PMID35844990
PMCPMC9175760

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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.