Evidence map›Paper›PMID 33169346›Full record

ReviewDiabetes therapy : research, treatment and education of diabetes and related disorders2021

African Cuisine-Centered Insulin Therapy: Expert Opinion on the Management of Hyperglycaemia in Adult Patients with Type 2 Diabetes Mellitus.

Jean Claude Mbanya, Roberta Lamptey, Andrew E Uloko, Amos Ankotche, Gontle Moleele, Gaman Ali Mohamed, Iswaraj Ramracheya, Kaushik Ramaiya, Malusi Ndiweni, Maïmouna Ndour Mbaye and 2 more

Open access · goldAbstract readReview
In one paragraph

Review in Diabetes therapy : research, treatment and education of diabetes and related disorders, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Review
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  4. Article
  5. Article
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

12 authors at 9 institutions in 9 countries.

Jean Claude Mbanya *Laboratory of Molecular Medicine and Metabolism, Biotechnology Center, University of Yaoundé, Yaoundé, Cameroon. jcmbanya@yahoo.co.uk.ORCID https://orcid.org/0000-0001-9651-8653
Roberta Lamptey *Department of Family Medicine, Korle Bu Teaching Hospital-University of Ghana, Accra, Ghana.ORCID https://orcid.org/0000-0002-4260-9442
Andrew E UlokoDepartment of Medicine, Bayero University Kano / Aminu Kano Teaching Hospital, Kano, Nigeria.ORCID https://orcid.org/0000-0002-3747-0300
Amos AnkotcheDepartment of Internal Medicine, Enocrinology and Geriatrics, Unit of Training and Research, Medical Science of Abidjan, University of Côte D'Ivoire, Abidjan, Ivory Coast.
Gontle MoleeleDepartment of Endocrinology, Bokamoso Private Hospital, Mmopane, Botswana.
Gaman Ali MohamedComprehensive Diabetes Centre, Nairobi, Kenya.
Iswaraj RamracheyaHeart and Wellness Centre, Wellkin Hospital, Moka, Mauritius.
Kaushik RamaiyaShree Hindu Mandal Hospital, Chusi Street, Dar es Salaam, Tanzania.
Malusi NdiweniDiabetes and Endocrine Centre, Harare, Zimbabwe.
Maïmouna Ndour MbayeCentre du Diabète Marc Sankalé, Dakar, Senegal.
Silver BahendekaDepartment of Internal Medicine, Mother Kevin Postgraduate Medical School, Uganda Martyrs University, Kampala, Uganda.
Sanjay KalraDepartment of Endocrinology, Bharti Hospital, Karnal, India.
Aga Khan Hospital Dar es Salaam · TZAminu Kano Teaching Hospital · NGBharti Hospital · INBotkin Hospital · RUBotswana Open University · BWCentre de Suivi Ecologique · SNUganda Martyrs University · UGUniversité de Yaoundé I · CMUniversity of Ghana · GH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prevalence of diabetes in sub-Saharan Africa (SSA) is growing rapidly, and a steadily increasing number of adults are estimated to be living with type 2 diabetes mellitus (T2DM). Insulin therapy is the treatment of choice in patients who present with severe hyperglycaemia and in most of those who do not achieve target goals on oral hypoglycaemic agents. Initiating treatment with the appropriate type of insulin based on the meal patterns and lifestyle of the individual patient is a strategy that is more likely than others to improve glycaemic control and adherence. African cuisine typically has a high carbohydrate load. Given these predominantly carbohydrate-rich food habits, it is essential to modify this dietary pattern whilst at the same time ensuring that insulin therapy is initiated, titrated and maintained in a timely manner, as needed to suit the patient's habits. To date, there are no published clinical guidelines to guide practitioners and patients on tailoring insulin to match the high carbohydrate content in African cuisine. To address this gap, we have reviewed current insulin therapy practices and propose a patient-centric guide to insulin therapy based on African cuisine. A literature search was conducted for studies published in English up to November 2019 that focused on the choice of insulin and its dosing in relation to African foods. All articles extracted were reviewed by an expert group. The recommendation of the expert group was that basal-bolus and premix insulin regimens are best suited to manage post-meal glycaemia in African cuisine. The timing and constituents of the meal, portion sizes, glycaemic load and glycaemic index of meals should be considered when choosing the type of insulin and insulin regimen. Assessment of individual preferences and comorbidities should be prioritised and form an integral part of diabetes management.

Indexed as

African cuisineCarbohydrateInsulin therapyMeal patternType 2 diabetes

Identifiers

PMID33169346
PMCPMC7843662
OpenAlexW3098949155

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.