Evidence map›Paper›PMID 31406585›Full record

ArticleBMJ global health2019

Epidemiological transition in morbidity: 10-year data from emergency consultations in Dakar, Senegal.

Bamba Gaye, Massamba Diop, Kumar Narayanan, Lucile Offredo, Peter Reese, Marie Antignac, Vasenta Diop, Ahmadoul Badaviyou Mbacké, Louise Boyer Chatenet, Eloi Marijon and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMJ global health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 20% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

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  8. Observational
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

13 authors at 9 institutions in 4 countries.

Bamba Gaye *Université de Paris, INSERM, Paris Cardiovascular Research Centre, Paris, France.
Massamba Diop *S.O.S Medecin Sénégal, Dakar, Senegal.
Kumar NarayananCardiology Department, Maxcure Hospitals, Hitec City, India.
Lucile OffredoUniversité de Paris, INSERM, Paris Cardiovascular Research Centre, Paris, France.
Peter ReeseDepartment of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Marie AntignacUniversité de Paris, INSERM, Paris Cardiovascular Research Centre, Paris, France.
Vasenta DiopS.O.S Medecin Sénégal, Dakar, Senegal.
Ahmadoul Badaviyou MbackéUFR des Technologies et des Métiers, Université Cheikh Ahmadoul Khadim (UCAK) de Touba, Diourbel, Senegal.
Louise Boyer ChatenetUniversité de Paris, INSERM, Paris Cardiovascular Research Centre, Paris, France.
Eloi MarijonUniversité de Paris, INSERM, Paris Cardiovascular Research Centre, Paris, France.
Archana Singh-ManouxINSERM, U1153, Epidemiology of Ageing and Neurodegenerative diseases, Université Paris-Descartes, Paris, France.
Ibrahima Bara DiopCardiology Department, University Hospital of Fann, Dakar, Senegal.
Xavier JouvenUniversité de Paris, INSERM, Paris Cardiovascular Research Centre, Paris, France.
Paris Cardiovascular Research Center · FRCentre Hospitalier National Universitaire de Fann · SNCheikh Anta Diop University · SNDélégation Paris 5 · FRHôpital Européen Georges-Pompidou · FRInserm · FRMaxCure Hospitals · INUniversité Paris Cité · FRUniversity of Pennsylvania · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt is thought that low-income countries are undergoing an epidemiological transition from infectious to non-communicable diseases; however, this phenomenon is yet to be examined with long-term data on morbidity.

methodsWe performed a prospective evaluation of all emergency medical consultations at a major emergency service provider in Dakar, Senegal from 2005 to 2014. Using standardised definitions, the primary diagnosis for each consultation was classified using the International Classification of Diseases-10 and then broadly categorised as 'infectious', 'non-communicable' and 'other' diseases. Morbidity rates for each year in the 10-year observation period were plotted to depict the epidemiological transition over time. To quantify the yearly rate ratios of non-communicable over infectious diagnosis, we used a generalised Poisson mixed model.

resultsComplete data were obtained from 49 702 visits by African patients. The mean age was 36.5±23.2 and 34.8±24.3 years for women and men, respectively. Overall, infections accounted for 46.3% and 42.9% and non-communicable conditions 32.2% and 40.1% of consultations in women and men, respectively. Consultation for non-communicable compared with infectious conditions increased by 7% every year (95% CI: 5% to 9%; p<0.0001) over the 10 years. Consultations for non-communicable condition were more likely in women compared with men (RR=1.29, 95% CI: 1.18, 1.40) and at older ages (RR=1.27; 95% CI 1.25, 1.29 for 10-year increase in age).

conclusionUsing high-quality disease morbidity data over a decade, we provide novel data showing the epidemiological transition of diseases as manifested in emergency service consultations in a large Sub-Saharan African city. These results can help reorientation of healthcare policy in Sub-Saharan Africa.

Indexed as

epidemiological transitionmorbiditySub-Saharan Africaurban city

Identifiers

PMID31406585
PMCPMC6666800
OpenAlexW2963813053

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LicenceCC BY-NC
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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.