Article in Blood pressure, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing 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.
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
18 authors.
De-Wei AnDepartment of Cardiovascular Medicine, Shanghai Key Laboratory of Hypertension, Shanghai Institute of Hypertension, State Key Laboratory of Medical Genomics, National Research Centre for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.ORCID 0000-0002-1395-7050
Gontse G MokwatsiHypertension in Africa Research Team (HART), North-West University, Potchefstroom, South Africa.ORCID 0000-0001-6203-3965
Dong-Yan ZhangDepartment of Cardiovascular Medicine, Shanghai Key Laboratory of Hypertension, Shanghai Institute of Hypertension, State Key Laboratory of Medical Genomics, National Research Centre for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.ORCID 0000-0003-0551-971X
Dries S MartensCentre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium.ORCID 0000-0001-7893-3642
Yu-Ling YuNon-Profit Research Alliance for the Promotion of Preventive Medicine, Mechelen, Belgium.ORCID 0000-0002-8255-3770
Babangida S ChoriCirculatory Health Research Laboratory, College of Health Sciences, University of Abuja, Gwagwalada, Nigeria.ORCID 0000-0002-4727-1647
Augustine N OdiliCirculatory Health Research Laboratory, College of Health Sciences, University of Abuja, Gwagwalada, Nigeria.ORCID 0000-0002-4564-1587
Ruan KrugerHypertension in Africa Research Team (HART), North-West University, Potchefstroom, South Africa.ORCID 0000-0001-7680-2032
Lebo F Gafane-MatemaneHypertension in Africa Research Team (HART), North-West University, Potchefstroom, South Africa.ORCID 0000-0003-4596-7218
Catharina Mc MelsHypertension in Africa Research Team (HART), North-West University, Potchefstroom, South Africa.ORCID 0000-0003-0138-3341
Aletta E SchutteHypertension in Africa Research Team (HART), North-West University, Potchefstroom, South Africa.ORCID 0000-0001-9217-4937
Jean-René M'Buyamba-KabanguHypertension Unit, Department of Internal Medicine, University of Kinshasa, Hospital, Kinshasa, Democratic Republic of Congo.ORCID 0000-0002-3611-9391
Tim S NawrotResearch Unit Environment and Health, KU Leuven Department of Public Health and Primary Care, University of Leuven, Leuven, Belgium.ORCID 0000-0002-3583-3593
Yan LiDepartment of Cardiovascular Medicine, Shanghai Key Laboratory of Hypertension, Shanghai Institute of Hypertension, State Key Laboratory of Medical Genomics, National Research Centre for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.ORCID 0000-0002-5825-5968
Jan A StaessenDepartment of Cardiovascular Medicine, Shanghai Key Laboratory of Hypertension, Shanghai Institute of Hypertension, State Key Laboratory of Medical Genomics, National Research Centre for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.ORCID 0000-0002-3026-1637
Funding
No grant is acknowledged in the PubMed record.
6 · The paper itself
Abstract
backgroundGlomerular filtration rate (eGFR) derived from serum creatinine (eGFR
methodsRace-free eGFR equations were evaluated in four studies with specific inclusion criteria based on the original research goals: African-PREDICT (341/380 healthy Black/White South Africans), FLEMENGHO (709 White community-dwelling Flemish), NHANES (1760/7931 Black and non-Black adult Americans), and 401 Black African patients hospitalised in Mbuji Mayi, Democratic Republic of Congo. The intraclass correlation coefficient and Bland and Altman statistics were used to assess consistency between eGFR equations and multivariable logistic or Cox regression to evaluate their association with mortality.
resultsIntraindividual discordance between eGFRs was larger in Black than non-Black NHANES and African-PREDICT participants. In NHANES, eGFR
conclusionsThe NHANES mortality outcomes support the use of eGFR
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.
Evaluation of race-free eGFR equations in individuals of different ethnicity. · full record | OpenQuestion