Evidence map›Paper›PMID 30471633›Full record

ArticleJournal of the neurological sciences2019

Estimated glomerular filtration rate predicts incident stroke among Ghanaians with diabetes and hypertension.

Fred Stephen Sarfo, Linda Meta Mobula, Osei Sarfo-Kantanka, Sheila Adamu, Jacob Plange-Rhule, Daniel Ansong, Rexford Adu Gyamfi, James Duah, Bertha Abraham, David Ofori-Adjei

Open access · hybridAbstract read
In one paragraph

Article in Journal of the neurological sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
2.9field-weighted citation impact, top 9% 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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. A Systematic Review of the Burden of Stroke in Ghana.BioMed research international · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 5 institutions in 2 countries.

Fred Stephen SarfoDepartment of Medicine, Kwame Nkrumah University of Science & Technology, Kumasi, Ghana; Department of Medicine, Komfo Anokye Teaching Hospital, Kumasi, Ghana. Electronic address: stephensarfo78@gmail.com.
Linda Meta MobulaJohns Hopkins University School of Medicine, Baltimore, MD, USA; Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.
Osei Sarfo-KantankaDepartment of Medicine, Kwame Nkrumah University of Science & Technology, Kumasi, Ghana; Department of Medicine, Komfo Anokye Teaching Hospital, Kumasi, Ghana.
Sheila AdamuDepartment of Medicine, Kwame Nkrumah University of Science & Technology, Kumasi, Ghana; Department of Medicine, Komfo Anokye Teaching Hospital, Kumasi, Ghana.
Jacob Plange-RhuleGhana College of Physicians and Surgeons, Accra, Ghana.
Daniel AnsongDepartment of Medicine, Kwame Nkrumah University of Science & Technology, Kumasi, Ghana; Department of Medicine, Komfo Anokye Teaching Hospital, Kumasi, Ghana.
Rexford Adu GyamfiAgogo Presbyterian Hospital, Agogo, Ghana.
James DuahKings Medical Center, Botanga, Ghana.
Bertha AbrahamAtua Government Hospital, Somanya, Ghana.
David Ofori-AdjeiDepartment of Medicine & Therapeutics, University of Ghana, School of Medicine and Dentistry, Accra, Ghana.
Komfo Anokye Teaching Hospital · GHGhana College of Physicians and Surgeons · GHJohns Hopkins University · USPresbyterian University, Ghana · GHUniversity of Ghana · GH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSub-Saharan Africa is currently experiencing a high burden of both chronic kidney disease (CKD) and stroke as a result of a rapid rise in shared common vascular risk factors such as hypertension and diabetes mellitus. However, no previous study has prospectively explored independent associations between CKD and incident stroke occurrence among indigenous Africans. This study sought to fill this knowledge gap.

methodsA prospective cohort study involving Ghanaians adults with hypertension or type II diabetes mellitus from 5 public hospitals. Patients were followed every 2 months in clinic for 18 months and assessed clinically for first ever stroke by physicians. Serum creatinine derived estimated glomerular filtration rates (eGFR) were determined at baseline for 2631 (81.7%) out of 3296 participants. We assessed associations between eGFR and incident stroke using a multivariate Cox Proportional Hazards regression model.

resultsStroke incidence rates (95% CI) increased with decreasing eGFR categories of 89, 60-88, 30-59 and <29 ml/min corresponding to incidence rates of 7.58 (3.58-13.51), 14.45 (9.07-21.92), 29.43 (15.95-50.04) and 66.23 (16.85-180.20)/1000 person-years respectively. Adjusted hazard ratios (95%CI) for stroke occurrence according to eGFR were 1.42 (0.63-3.21) for eGFR of 60-89 ml/min, 1.88 (1.17-3.02) for 30-59 ml/min and 1.52 (0.93-2.43) for <30 ml/min compared with eGFR of >89 ml/min. Adjusted HR for stroke occurrence among patients with hypertension with eGFR<60 ml/min was 3.69 (1.49-9.13), p = .0047 and among those with diabetes was 1.50 (0.56-3.98), p = .42.

conclusionCKD is dose-dependently associated with occurrence of incident strokes among Ghanaians with hypertension and diabetes mellitus. Further studies are warranted to explore interventions that could attenuate the risk of stroke attributable to renal disease among patients with hypertension in SSA.

Indexed as

Alcohol DrinkingCohort StudiesCreatinineDiabetes Mellitus, Type 2ExerciseFemaleGhanaGlomerular Filtration RateHumansHypertensionIncidenceLipid MetabolismMaleProportional Hazards ModelsSmokingStrokeCreatinineAPOL-1Chronic kidney diseaseeGFRStroke riskWest Africa

Identifiers

PMID30471633
PMCPMC6330840
OpenAlexW2893580273

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.