Evidence map›Paper›PMID 33618679›Full record

ArticleBMC nephrology2021

Anemia among Chinese patients with chronic kidney disease and its association with quality of life - results from the Chinese cohort study of chronic kidney disease (C-STRIDE).

Yan Shen, Jinwei Wang, Jing Yuan, Li Yang, Fangfang Yu, Xiaolei Wang, Ming-Hui Zhao, Luxia Zhang, Yan Zha, Chinese Cohort Study of Chronic Kidney Disease (C-STRIDE)

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in BMC nephrology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03041987 (Chinese Cohort Study of Chronic Kidney Disease), which is not on this map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.6field-weighted citation impact, top 17% 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.

NCT03041987 active not recruitingnot on this map

Chinese Cohort Study of Chronic Kidney Disease

TypeobservationalSponsorPeking University First HospitalRan2012 to 2026Enrolled5,000ConditionsRenal Insufficiency, ChronicArmsDemographic factors, biomedical measurements, drugs used for controlling metabolic disorders, etc
3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 16 citations in OpenAlex.

  1. CD71BMC nephrology · 2026
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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

10 authors at 3 institutions in 2 countries.

Yan Shen *Department of Nephrology, Guizhou Provincial People's Hospital, Guizhou University School of medicine, Gui Yang, China.
Jinwei Wang *Renal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology; Key Laboratory of Renal Disease, Ministry of Health of China; Key Laboratory of Chronic Kidney Disease Prevention and Treatment (Peking University), Ministry of Education, No. 8 Xishiku Street, Xicheng District, Beijing, China.
Jing YuanDepartment of Nephrology, Guizhou Provincial People's Hospital, Guizhou University School of medicine, Gui Yang, China.
Li YangDepartment of Nephrology, Guizhou Provincial People's Hospital, Guizhou University School of medicine, Gui Yang, China.
Fangfang YuDepartment of Nephrology, Guizhou Provincial People's Hospital, Guizhou University School of medicine, Gui Yang, China.
Xiaolei WangDepartment of Statistics, University of Michigan, 1085 South University, Ann Arbor, MI, USA.
Ming-Hui ZhaoRenal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology; Key Laboratory of Renal Disease, Ministry of Health of China; Key Laboratory of Chronic Kidney Disease Prevention and Treatment (Peking University), Ministry of Education, No. 8 Xishiku Street, Xicheng District, Beijing, China.
Luxia ZhangRenal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology; Key Laboratory of Renal Disease, Ministry of Health of China; Key Laboratory of Chronic Kidney Disease Prevention and Treatment (Peking University), Ministry of Education, No. 8 Xishiku Street, Xicheng District, Beijing, China. zhanglx@bjmu.edu.cn.
Yan ZhaDepartment of Nephrology, Guizhou Provincial People's Hospital, Guizhou University School of medicine, Gui Yang, China. zhayan72@126.com.ORCID 0000-0002-1185-455X
Chinese Cohort Study of Chronic Kidney Disease (C-STRIDE)
Guizhou University · CNMinistry of Education of the People's Republic of China · CNGuizhou Provincial People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAnemia is one of the common complications in patients with chronic kidney disease (CKD). However, there is no systematic investigation on the prevalence of anemia in CKD patients and its relationship with the quality of life in China.

methodsThe data for this study comes from baseline data from the Chinese Chronic Kidney Disease Cohort Study (C-STRIDE), which recruited predialysis CKD patients in China. The kidney disease quality of life summary (KDQOL-TM) was used to assess health-related quality of life (HRQoL). Use linear regression model to estimate the relationship between hemoglobin level and quality of life.

resultsA total of 2921 patients were included in this study. The adjusted prevalence of hemoglobin (Hb) less than 100 g/L was 10.3% (95% confidence interval [CI]: 9.9,11.4%), and showed an increased trend through reduced eGFR levels from 4.0% (95%CI:2.3,5.9%) in the 45-60 ml/min/1.73m

conclusionsIn our cross-sectional analysis of patients with CKD in China, prevalence of both anemia and anti-anemia treatment increased with decreased eGFR. In addition, anemia was associated with reduced HRQoL.

Indexed as

Quality of LifeAdultAgedAnemiaChinaCohort StudiesCross-Sectional StudiesFemaleHumansMaleMiddle AgedPrevalenceRenal Insufficiency, ChronicAnemiaChinese patientsChronic kidney diseaseC-STRIDEQuality of life - results

Identifiers

PMID33618679
PMCPMC7898739
OpenAlexW3130298791

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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.