Evidence map›Paper›PMID 29019518›Full record

ArticleCardiovascular journal of Africa

Prevalence and predictive value of electrocardiographic abnormalities in pulmonary hypertension: evidence from the Pan-African Pulmonary Hypertension Cohort (PAPUCO) study.

Irina Balieva, Anastase Dzudie, Friedrich Thienemann, Ana O Mocumbi, Kamilu Karaye, Mahmoud U Sani, Okechukwu S Ogah, Adriaan A Voors, Andre Pascal Kengne, Karen Sliwa

Open access · greenAbstract readMulticenter Study
In one paragraph

Article in Cardiovascular journal of Africa. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.2field-weighted citation impact, top 39% 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

10 citing papers in PubMed, 11 citations in OpenAlex.

  1. Observational
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  3. Determining the QRS axis: visual estimation is equal to calculation.Herzschrittmachertherapie & Elektrophysiologie · 2025
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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

10 authors at 2 institutions in 2 countries.

Irina BalievaHatter Institute for Cardiovascular Research in Africa, SAMRC Cape Heart Centre, IDM, Department of Medicine, Faculty of Health Sciences, University of Cape Town, South Africa; University of Groningen, Groningen, the Netherlands. Email: irinabalieva@gmail.com.
Anastase DzudieHatter Institute for Cardiovascular Research in Africa, SAMRC Cape Heart Centre, IDM, Department of Medicine, Faculty of Health Sciences, University of Cape Town, South Africa; Department of Internal Medicine, Douala General Hospital, Douala, Cameroon; NIH Millennium Fogarty Chronic Disease Leadership Programme; Soweto Cardiovascular Research Heart Unit (SOCRU), Department of Medicine, University of the Witwatersrand, Johannesburg, South Africa.
Friedrich ThienemannHatter Institute for Cardiovascular Research in Africa, SAMRC Cape Heart Centre, IDM, Department of Medicine, Faculty of Health Sciences, University of Cape Town, South Africa; Clinical Infectious Diseases Research Initiative, IDM, University of Cape Town; Integerafrica Research and Development, Cape Town; Wellcome Centre Infectious Diseases Research in Africa, Institue of Infectious Diseases and Molecular Medicine, Cape Town; and Department of Medicine, Groote Schuur Hospital, Faculty of Health Sciences, University of Cape Town, South Africa.
Ana O MocumbiInstituto Nacional de Saúde; Faculty of Medicine, Eduardo Mondlane University, Maputo, Mozambique.
Kamilu KarayeDepartment of Medicine, Bayero University, Kano, Nigeria.
Mahmoud U SaniHatter Institute for Cardiovascular Research in Africa, SAMRC Cape Heart Centre, IDM, Department of Medicine, Faculty of Health Sciences, University of Cape Town, South Africa; Department of Medicine, Bayero University, Kano, Nigeria.
Okechukwu S OgahDepartment of Medicine, University College Hospital, Ibadan; Ministry of Health, Umuahia, Nigeria.
Adriaan A VoorsUniversity of Groningen, Groningen, the Netherlands.
Andre Pascal KengneHatter Institute for Cardiovascular Research in Africa, SAMRC Cape Heart Centre, IDM, Department of Medicine, Faculty of Health Sciences, University of Cape Town, South Africa; Non-Communicable Diseases Unit, South African Medical Research Council, Cape Town, South Africa.
Karen SliwaHatter Institute for Cardiovascular Research in Africa, SAMRC Cape Heart Centre, IDM, Department of Medicine, Faculty of Health Sciences, University of Cape Town, South Africa; Soweto Cardiovascular Research Heart Unit (SOCRU),Department of Medicine, University of the Witwatersrand, Johannesburg, South Africa.
Bayero University Kano · NGUniversity of Groningen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPulmonary hypertension (PH) is prevalent in Africa and is still often diagnosed only at an advanced stage, therefore it is associated with poor quality of life and survival rates. In resource-limited settings, we assessed the diagnostic utility of standard 12-lead electrocardiograms (ECG) to detect abnormalities indicating PH.

methodsSixty-five patients diagnosed with PH were compared with 285 heart disease-free subjects. The prevalence and diagnostic performance of ECG features indicative of PH and right heart strain were calculated.

resultsCompared to the control group, all abnormalities were more frequent in the PH cohort where no patient had a completely normal ECG. The most prevalent (cases vs control) ECG abnormalities were: pathological Q wave in at least two contiguous peripheral leads (47.7 vs 6.7%), left ventricular hypertrophy (38.5 vs 9.8%) and p-pulmonale (36.9 vs 20.7%) (all p < 0.05). The sensitivity of ECG criteria for right heart strain ranged between 6.2 and 47.7%, while specificity ranged between 79.3 and 100%. Negative predictive value ranged between 81.5 and 88.9% and positive predictive value between 25 and 100%. Positive predictive value was lowest (25%) for right bundle branch block and QRS rightaxis deviation (≥ 100°), and highest (100%) for QRS axis ≥ +100° combined with R/S ratio in V1 ≥ 1 or R in V1 > 7 mm.

conclusionWhen present, signs of PH on ECG strongly indicated disease, but a normal ECG cannot rule out disease. ECG patterns focusing on the R and S amplitude in V1 and right-axis deviation had good specificity and negative predictive values for PH, and warrant further investigation with echocardiography.

Indexed as

ElectrocardiographyHeart RateAction PotentialsAdultAfricaArrhythmias, CardiacArterial PressureBiomechanical PhenomenaCase-Control StudiesFemaleHeart Conduction SystemHumansHypertension, PulmonaryMaleMiddle AgedMyocardial Contraction

Identifiers

PMID29019518
PMCPMC5885050
OpenAlexW2767121619

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.