Evidence map›Paper›PMID 27558374›Full record

ArticleNeurology2016

Influence of sodium consumption and associated knowledge on poststroke hypertension in Uganda.

Martin N Kaddumukasa, Elly Katabira, Martha Sajatovic, Svetlana Pundik, Mark Kaddumukasa, Larry B Goldstein

Abstract read
In one paragraph

Article in Neurology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Influence of Dietary Salt Knowledge, Perceptions, and Beliefs on Consumption Choices after Stroke in Uganda.Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association · 2017
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Martin N KaddumukasaFrom the Department of Internal Medicine (M.N.K., E.K., M.K.), Makerere University, College of Health Sciences, Kampala, Uganda; Neurological and Behavioral Outcomes Center (M.S.), University Hospitals Case Medical Center, Cleveland; School of Medicine (S.P.), Cleveland VA Medical Center and Case Western Reserve University, Cleveland, OH; and Department of Neurology (L.B.G.), University of Kentucky, Lexington. kaddumart@yahoo.com.
Elly KatabiraFrom the Department of Internal Medicine (M.N.K., E.K., M.K.), Makerere University, College of Health Sciences, Kampala, Uganda; Neurological and Behavioral Outcomes Center (M.S.), University Hospitals Case Medical Center, Cleveland; School of Medicine (S.P.), Cleveland VA Medical Center and Case Western Reserve University, Cleveland, OH; and Department of Neurology (L.B.G.), University of Kentucky, Lexington.
Martha SajatovicFrom the Department of Internal Medicine (M.N.K., E.K., M.K.), Makerere University, College of Health Sciences, Kampala, Uganda; Neurological and Behavioral Outcomes Center (M.S.), University Hospitals Case Medical Center, Cleveland; School of Medicine (S.P.), Cleveland VA Medical Center and Case Western Reserve University, Cleveland, OH; and Department of Neurology (L.B.G.), University of Kentucky, Lexington.
Svetlana PundikFrom the Department of Internal Medicine (M.N.K., E.K., M.K.), Makerere University, College of Health Sciences, Kampala, Uganda; Neurological and Behavioral Outcomes Center (M.S.), University Hospitals Case Medical Center, Cleveland; School of Medicine (S.P.), Cleveland VA Medical Center and Case Western Reserve University, Cleveland, OH; and Department of Neurology (L.B.G.), University of Kentucky, Lexington.
Mark KaddumukasaFrom the Department of Internal Medicine (M.N.K., E.K., M.K.), Makerere University, College of Health Sciences, Kampala, Uganda; Neurological and Behavioral Outcomes Center (M.S.), University Hospitals Case Medical Center, Cleveland; School of Medicine (S.P.), Cleveland VA Medical Center and Case Western Reserve University, Cleveland, OH; and Department of Neurology (L.B.G.), University of Kentucky, Lexington.
Larry B GoldsteinFrom the Department of Internal Medicine (M.N.K., E.K., M.K.), Makerere University, College of Health Sciences, Kampala, Uganda; Neurological and Behavioral Outcomes Center (M.S.), University Hospitals Case Medical Center, Cleveland; School of Medicine (S.P.), Cleveland VA Medical Center and Case Western Reserve University, Cleveland, OH; and Department of Neurology (L.B.G.), University of Kentucky, Lexington.

Funding

Vanderbilt-Emory-Cornell-Duke Consortium for Global Health Fellows (VECDor)R25TW009337 · FIC · VANDERBILT UNIVERSITY MEDICAL CENTER · PI HEIMBURGER, DOUGLAS CORBETT, VERMUND, STEN H. · 2012 to 2016
$6.3M
Research & training:improve quality of care for neurological disorders in UgandaR25NS080968 · NINDS · MAKERERE UNIVERSITY COLLEGE OF HEALTH SCIENCES · PI KATABIRA, ELLY T · 2012 to 2014
$792k
FIC NIH HHS R25 TW009337NINDS NIH HHS R25 NS080968
6 · The paper itself

Abstract

objectiveWe assessed 24-hour urine sodium levels as an index of dietary salt consumption and its association with dietary salt knowledge and hypertension among poststroke patients with and without a history of hypertension in Uganda.

methodsA case-control study in which poststroke patients with a history of hypertension (cases, n = 123) were compared to poststroke patients without known hypertension (controls, n = 112). Dietary salt intake was assessed by 24-hour urine sodium, a valid measure of dietary salt consumption. Dietary salt knowledge was determined by questionnaire. The independent relationships among salt knowledge, 24-hour urine sodium, and blood pressure control were assessed using multiple regression analysis.

resultsHigh 24-hour urine sodium (≥8.5 g/d) was 2 times more prevalent among hypertensive poststroke patients than controls (p = 0.002). Patients with minimal poststroke disability who had a choice in determining their diets had higher urine sodium than their more disabled counterparts. Only 43% of the study population had basic dietary salt knowledge, 39% had adequate diet-disease-related knowledge, and 37% had procedural knowledge (report of specific steps being taken to reduce salt consumption). Dietary salt knowledge was similarly poor among cases and controls (p = 0.488) and was not related to education level (p = 0.205).

conclusionsHigh urine sodium and high salt-diet preferences were more frequent among poststroke hypertensive patients in Uganda than in their nonhypertensive counterparts. There was, however, no difference in dietary salt knowledge between these groups. The development of educational strategies that include salt-diet preferences may lead to better blood pressure control in this high-risk population.

Indexed as

DietHealth Knowledge, Attitudes, PracticeSodium Chloride, DietaryAdultAgedAged, 80 and overBlood PressureCase-Control StudiesDisability EvaluationEatingFemaleFood PreferencesHumansHypertensionMaleMiddle AgedSodium Chloride, Dietary

Identifiers

PMID27558374
PMCPMC5035979

What OpenQuestion holds

Textmetadata
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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.