Evidence map›Paper›PMID 30743209›Full record

ArticleAmerican heart journal2019

Knowledge of myocardial infarction symptoms and perceptions of self-risk in Tanzania.

Julian T Hertz, Deng B Madut, Revogatus A Tesha, Gwamaka William, Ryan A Simmons, Sophie W Galson, Francis M Sakita, Venance P Maro, Gerald S Bloomfield, John A Crump and 1 more

Abstract read
In one paragraph

Article in American heart journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

  1. Trial
  2. Article
  3. Acute coronary syndrome prevalence and outcomes in a Tanzanian emergency department: Results from a prospective surveillance study.African journal of emergency medicine : Revue africaine de la medecine d'urgence · 2025
    Article
  4. Article
  5. Article
  6. Evaluating the performance of the HEART score in a Tanzanian emergency department.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2024
    Observational
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  8. Article
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  10. Article
  11. Article
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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

11 authors.

Julian T HertzDivision of Emergency Medicine, Duke University Medical Center, 2301 Erwin Rd, Durham, NC. Electronic address: julian.hertz@duke.edu.
Deng B MadutDepartment of Medicine, Duke University Medical Center, 2301 Erwin Rd, Durham, NC.
Revogatus A TeshaDepartment of Statistical Science, Duke University, PO Box 90251, Durham, NC.
Gwamaka WilliamKilimanjaro Christian Medical Centre, PO Box 3010, Moshi, Tanzania.
Ryan A SimmonsDuke Global Health Institute, Duke University, 310 Trent Drive, Durham, NC.
Sophie W GalsonDivision of Emergency Medicine, Duke University Medical Center, 2301 Erwin Rd, Durham, NC.
Francis M SakitaDepartment of Emergency Medicine, Kilimanjaro Christian Medical Centre, PO Box 3010, Moshi, Tanzania.
Venance P MaroDepartment of Medicine, Kilimanjaro Christian Medical Centre, PO Box 3010, Moshi, Tanzania.
Gerald S BloomfieldDivision of Cardiology, Duke University Medical Center, 2301 Erwin Rd, Durham, NC.
John A CrumpOtago Global Health Institute, University of Otago, PO Box 56, Dunedin, New Zealand 9054.
Matthew P RubachDepartment of Medicine, Duke University Medical Center, 2301 Erwin Rd, Durham, NC.

Funding

Ruth L. Kirschstein National Research Service Award (NRSA)- T32T32AI007392 · NIAID · DUKE UNIVERSITY · PI Amy Lynn Corneli, Guido Ferrari · 1990 to 2026
$9.8M
Investigating Febrile Deaths in Tanzania (INDITe)R01AI121378 · NIAID · DUKE UNIVERSITY · PI RUBACH, MATTHEW P · 2016 to 2020
$2.7M
Viral Zoonoses and Severe Febrile Illness in Northern TanzaniaK23AI116869 · NIAID · DUKE UNIVERSITY · PI RUBACH, MATTHEW P · 2016 to 2020
$896k
NIAID NIH HHS K23 AI116869NIAID NIH HHS R01 AI121378
6 · The paper itself

Abstract

backgroundLittle is known about community knowledge of myocardial infarction symptoms and perceptions of self-risk in sub-Saharan Africa.

methodsA community survey was conducted in northern Tanzania, where the prevalence of cardiovascular risk factors is high. Households were selected randomly in a population-weighted fashion and surveys were administered to self-identified household healthcare decision-makers. Respondents were asked to list all symptoms of a heart attack and asked whether they thought they had a chance of suffering a heart attack. Associations between participant sociodemographic features and responses to these questions were assessed with Pearson's chi-squared and the Student t test.

resultsThere were 718 survey participants, with median (IQR) age 48 (32, 62) years. Of these, 115 (16.0%) were able to identify any conventional symptom of a heart attack, including 24 (3.3%) respondents who cited chest pain as a possible symptom. There was no association between ability to identify a conventional symptom and gender, level of education, socioeconomic status, urban residence, or age. Of respondents, 198 (27.6%) thought they had a chance of suffering a heart attack. Older respondents were more likely to perceive themselves to be at risk (P < .001), but there was no association between perception of self-risk and gender, level of education, socioeconomic status, or urban residence.

conclusionsIn northern Tanzania, knowledge of myocardial infarction symptoms is poor among all segments of the population and only a minority of residents perceive themselves to be at risk of this disease. Educational interventions regarding ischemic heart disease are urgently needed.

Indexed as

Health Knowledge, Attitudes, PracticeAdultAge FactorsChest PainChi-Square DistributionFemaleHealth SurveysHumansMaleMiddle AgedMyocardial InfarctionRiskSex FactorsSocioeconomic FactorsSymptom AssessmentTanzania

Identifiers

PMID30743209
PMCPMC6453561

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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.