Article in Hypertension (Dallas, Tex. : 1979), 2023. 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
0.2field-weighted citation impact, top 40% 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
1 citing paper in PubMed, 1 citations in OpenAlex.
Yaw B MensahUniversity of Ghana Medical School, Accra (A.K.A., B.N.L.C.-T., Y.B.M., R.Y.L.).ORCID 0000-0003-2683-6263
Ruth Y LaryeaUniversity of Ghana Medical School, Accra (A.K.A., B.N.L.C.-T., Y.B.M., R.Y.L.).
Olayemi BalogunAhmadu Bello University, Zaria, Nigeria (R.O., P.O.I., O.B.).
Innocent Ijezie ChukwuonyeFederal Medical Centre, Umuahia, Nigeria (I.I.C.).ORCID 0000-0003-1190-135X
Rufus O AkinyemiUniversity of Ibadan, Nigeria (O.J.A., A.P.O., O.M.A, A.G.F., J.O.A., O.S.A, G.I.O., O.S.O., R.O.A., M.O.O.).ORCID 0000-0001-5286-428X
Bruce OvbiageleWeill Institute for Neurosciences, University of California San Francisco (B.O.).ORCID 0000-0002-9958-0644
Mayowa Ojo OwolabiUniversity of Ibadan, Nigeria (O.J.A., A.P.O., O.M.A, A.G.F., J.O.A., O.S.A, G.I.O., O.S.O., R.O.A., M.O.O.).
Online Computer Library Center · USUniversity of Ghana · GHAhmadu Bello University · NGKwame Nkrumah University of Science and Technology · GHUniversity of Ilorin Teaching Hospital · NGAga Khan Hospital Dar es Salaam · TZAminu Kano Teaching Hospital · NGFederal Medical Centre · NGJos University Teaching Hospital · NGMedical University of South Carolina · USObafemi Awolowo University · NGUniversity of California, San Francisco · US
Funding
H3Africa Administrative Coordinating Centre: Enabling and Supporting Genomics and Health Research Capacity Building in AfricaU24HG009780 · NHGRI · UNIVERSITY OF CAPE TOWN · PI SKELTON, MICHELLE · 2017 to 2022
$4.8M
Stroke Investigative Research & Educational Network (SIREN)U54HG007479 · NHGRI · COLLEGE OF MEDICINE, UNIVERSITY OF IBADAN · PI OVBIAGELE, BRUCE, OWOLABI, MAYOWA OJO · 2013 to 2017
$4.2M
CNV And Stroke (CaNVAS)R01NS114045 · NINDS · UNIVERSITY OF MARYLAND BALTIMORE · PI COLE, JOHN W. · 2020 to 2024
$2.6M
African Rigorous Innovative Stroke Epidemiological Surveillance (ARISES)R01NS115944 · NINDS · COLLEGE OF MEDICINE, UNIVERSITY OF IBADAN · PI OVBIAGELE, BRUCE, OWOLABI, MAYOWA OJO · 2020 to 2025
$2.2M
Systematic Investigation of Blacks with Stroke - Genomics (SIBS-Genomics) StudyR01NS107900 · NINDS · COLLEGE OF MEDICINE, UNIVERSITY OF IBADAN · PI OVBIAGELE, BRUCE, OWOLABI, MAYOWA OJO · 2018 to 2021
$1.8M
Training Africans to Lead and Execute Neurological Trials & Studies (TALENTS)D43TW012030 · FIC · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI OVBIAGELE, BRUCE · 2021 to 2025
$1.2M
Growing Data-science Research in Africa to Stimulate Progress (GRASP)UE5HL172183 · NHLBI · COLLEGE OF MEDICINE, UNIVERSITY OF IBADAN · PI FATUMO, SEGUN, OVBIAGELE, BRUCE · 2023 to 2025
$568k
African Neurobiobank for Precision Stroke Medicine - (ELSI) ProjectU01HG010273 · NHGRI · COLLEGE OF MEDICINE, UNIVERSITY OF IBADAN · PI AKINYEMI, RUFUS OLUSOLA, ARULOGUN, OYEDUNNI SOLA · 2018 to 2022
$512k
Sub-Saharan Africa Conference on Stroke (SSACS) ConferenceR13NS115395 · NINDS · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI OVBIAGELE, BRUCE · 2020 to 2020
backgroundThis study aimed to develop a risk-scoring model for hypertension among Africans.
methodsIn this study, 4413 stroke-free controls were used to develop the risk-scoring model for hypertension. Logistic regression models were applied to 13 risk factors. We randomly split the dataset into training and testing data at a ratio of 80:20. Constant and standardized weights were assigned to factors significantly associated with hypertension in the regression model to develop a probability risk score on a scale of 0 to 1 using a logistic regression model. The model accuracy was assessed to estimate the cutoff score for discriminating hypertensives.
resultsMean age was 59.9±13.3 years, 56.0% were hypertensives, and 8 factors, including diabetes, age ≥65 years, higher waist circumference, (BMI) ≥30 kg/m
conclusionsThe novel risk-scoring model discriminated hypertensives with good accuracy and will be helpful in the early identification of community-based Africans vulnerable to hypertension for its primary prevention.
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 Socratic graph.