Evidence map›Paper›PMID 35999502›Full record

ArticleBMC nephrology2022

Association between hemoglobin and chronic kidney disease progression: a secondary analysis of a prospective cohort study in Japanese patients.

Wushan Pan, Yong Han, Haofei Hu, Yongcheng He

Open access · goldAbstract read
In one paragraph

Article in BMC nephrology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

16 citing papers in PubMed, 16 citations in OpenAlex.

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  10. Building Trust in Clinical AI: A Web-Based Explainable Decision Support System for Chronic Kidney Disease.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2025
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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

4 authors at 2 institutions in 1 country.

Wushan Pan *Department of Nephrology, Kaifeng Central Hospital, Kaifeng, 475000, Henan Province, China.
Yong Han *Department of Emergency, Shenzhen Second People's Hospital, Shenzhen, 518000, Guangdong Province, China.
Haofei HuDepartment of Nephrology, Shenzhen Second People's Hospital, Futian District, No.3002 Sungang Road, Shenzhen, 518000, Guangdong Province, China. huhaofei0319@126.com.
Yongcheng HeDepartment of Nephrology, Shenzhen Hengsheng Hospital, Baoan District, No. 20 Yintian Road, Shenzhen, 518000, Guangdong Province, China. heyongcheng640815@126.com.
Shenzhen Second People's Hospital · CNShenzhen Bao'an District People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveAnemia has been reported as a risk factor for chronic kidney disease (CKD) progression. However, there are still few studies examining the relationship between specific hemoglobin (Hb) levels and renal prognosis and renal function decline simultaneously. Meanwhile, the possible non-linear relationship between Hb and CKD progression also deserves further exploration. On that account, our primary goal is to explore the link of Hb on renal prognosis and renal function decline in patients with CKD.

methodsThis study was a secondary analysis of a prospective cohort study, which consecutively and non-selectively collected 962 participants from the research of CKD-ROUTE in Japan from November 2010 to December 2011. We used the Cox proportional-hazards and linear regression models to evaluate the independent association between baseline Hb and renal prognosis (renal composite endpoint, initiation of dialysis during follow-up or 50% decline in eGFR from baseline) and renal function decline(annual eGFR decline), respectively. A multivariate Cox proportional hazards regression analysis with cubic spline functions model and smooth curve fitting (penalized spline method) were conducted to address Hb and CKD prognosis's non-linearity. At the same time, a generalized additive model (GAM) and smooth curve fitting (penalized spline method) was conducted to explore the exact shape of the curve between Hb and renal function decline. Additionally, we did a series of sensitivity analyses to ensure the robustness of the results. Moreover, we conducted subgroup analyses.

resultsThe mean age of the included patients was 67.35 ± 13.56 years old, and 69.65% were male. The mean baseline Hb and estimated glomerular filtration rate (eGFR) was 12.06 ± 2.21 g/dL and 33.04 ± 18.01 ml/min per 1.73 m

conclusionThis study demonstrates a negative and non-linear relationship between Hb and renal prognosis and renal function decline in Japanese CKD patients. Hb is strongly related to renal prognosis when Hb is above 8.6 g/dL.

Indexed as

HypertensionRenal Insufficiency, ChronicAgedAged, 80 and overDisease ProgressionFemaleGlomerular Filtration RateHemoglobinsHumansJapanMaleMiddle AgedProspective StudiesRenal DialysisRisk FactorsHemoglobinsChronic kidney diseaseCox proportional-hazards modelHemoglobinlinear regression modelNon-linearProgression

Identifiers

PMID35999502
PMCPMC9400271
OpenAlexW4292787731

What OpenQuestion holds

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LicenceCC BY
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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.