Evidence map›Paper›PMID 27266270›Full record

ArticleBMC public health2016

Seasonality in diabetes in Yaounde, Cameroon: a relation with precipitation and temperature.

Eric Lontchi-Yimagou, Maurice Tsalefac, Leonelle Monique Teuwa Tapinmene, Jean Jacques N Noubiap, Eric Vounsia Balti, Jean-Louis Nguewa, Mesmin Dehayem, Eugene Sobngwi

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in BMC public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
1.0field-weighted citation impact, top 21% 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

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

  1. Pooled it
  2. Climate factors and gestational diabetes mellitus risk - a systematic review.Environmental health : a global access science source · 2020
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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

8 authors at 5 institutions in 4 countries.

Eric Lontchi-YimagouLaboratory for Molecular Medicine and Metabolism, Biotechnology Center, University of Yaoundé I, Yaoundé, Cameroon.
Maurice TsalefacDepartement of Geography, University of Yaoundé I, Yaoundé, Cameroon.
Leonelle Monique Teuwa TapinmeneDepartement of Geography, University of Yaoundé I, Yaoundé, Cameroon.
Jean Jacques N NoubiapDepartment of Medicine, Groote Schuur Hospital and University of Cape Town, Cape Town, South Africa.
Eric Vounsia BaltiDiabetes Research Center, Faculty of Medicine and Pharmacy, Brussels Free University, Brussels, Belgium.
Jean-Louis NguewaDepartment of Diabetes and Endocrinology, Hôpital Lariboisière, Assistance Publique-Hôpitaux de Paris, University Paris-Diderot Paris-7, Paris, France.
Mesmin DehayemNational Obesity Center, Yaoundé Central Hospital, Yaoundé, Cameroon.
Eugene SobngwiLaboratory for Molecular Medicine and Metabolism, Biotechnology Center, University of Yaoundé I, Yaoundé, Cameroon. sobngwieugene@yahoo.fr.
Université de Yaoundé I · CMCentral Hospital of Yaoundé · CMAssistance Publique – Hôpitaux de Paris · FRCenter for Beta Cell Therapy in Diabetes · BEGroote Schuur Hospital · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiabetes is a growing health concern in developing countries, with Cameroon population having an estimated 6% affected. Of note, hospital attendees appear to be increasing all over the country, with fluctuating numbers throughout the annual calendar. The aim of the study was to investigate the relationship between diabete hospitalization admission rates and climate variations in Yaounde.

methodsA retrospectively designed study was conducted in four health facilities of Yaounde (Central Hospital, University teaching hospital, Biyem-Assi and Djoungolo District Hospitals), using medical records from 2000 to 2008. A relationship between diabetes (newly diagnosed diabetes patients or decompensated diabetics) hospitalization admissions and climate variations was determined using the "2000-2008" national meteorological database (precipitation and temperature).

resultsThe monthly medians of precipitation and temperature were 154mm and 25 °C, respectively. The month of October received 239mm of precipitation. The monthly medians of diabetic admissions rates (newly diagnosed or decompensated diabetes patients) were 262 and 72 respectively. October received 366 newly diagnosed diabetics and 99 decompensated diabetics. Interestingly, diabetic hospitalization admissions rates were higher during the rainy (51 %, 1633/3232) than the dry season, though the difference was non-significant. The wettest month (October) reported the highest cases (10 %, 336/3232) corresponding to the month with the highest precipitation level (239mm). Diabetes hospitalization admissions rates varied across health facilities [from 6 % (189/3232) in 2000 to 15 % (474/3232) in 2008].

conclusionDiabetes is an important epidemiological disease in the city of Yaounde. The variation in the prevalence of diabetes is almost superimposed to that of precipitation; and the prevalence seems increasing during raining seasons in Yaoundé.

Indexed as

Patient AdmissionAdultCameroonDatabases, FactualDiabetes Mellitus, Type 2FemaleHumansMalePrevalenceRainRetrospective StudiesSeasonsTemperatureCameroonDiabetesSeasonsSub-Saharan AfricaYaounde

Identifiers

PMID27266270
PMCPMC4896003
OpenAlexW2414600355

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.