Evidence map›Paper›PMID 22322477›Full record

ReviewCurrent diabetes reports2012

Diabetes-specific nutrition algorithm: a transcultural program to optimize diabetes and prediabetes care.

Jeffrey I Mechanick, Albert E Marchetti, Caroline Apovian, Alexander Koglin Benchimol, Peter H Bisschop, Alexis Bolio-Galvis, Refaat A Hegazi, David Jenkins, Enrique Mendoza, Miguel Leon Sanz and 4 more

Abstract readReview
In one paragraph

Review in Current diabetes reports, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 pooled it
–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

26 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  7. Optimizing Nutrition Strategies for Diabetes Management in India: An Expert Opinion.Diabetes, metabolic syndrome and obesity : targets and therapy · 2026
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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

14 authors.

Jeffrey I MechanickDivision of Endocrinology, Diabetes, and Bone Disease, Mount Sinai School of Medicine, New York, NY, USA. jeffreymechanick@gmail.com
Albert E Marchetti
Caroline Apovian
Alexander Koglin Benchimol
Peter H Bisschop
Alexis Bolio-Galvis
Refaat A Hegazi
David Jenkins
Enrique Mendoza
Miguel Leon Sanz
Wayne Huey-Herng Sheu
Patrizio Tatti
Man-Wo Tsang
Osama Hamdy

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type 2 diabetes (T2D) and prediabetes have a major global impact through high disease prevalence, significant downstream pathophysiologic effects, and enormous financial liabilities. To mitigate this disease burden, interventions of proven effectiveness must be used. Evidence shows that nutrition therapy improves glycemic control and reduces the risks of diabetes and its complications. Accordingly, diabetes-specific nutrition therapy should be incorporated into comprehensive patient management programs. Evidence-based recommendations for healthy lifestyles that include healthy eating can be found in clinical practice guidelines (CPGs) from professional medical organizations. To enable broad implementation of these guidelines, recommendations must be reconstructed to account for cultural differences in lifestyle, food availability, and genetic factors. To begin, published CPGs and relevant medical literature were reviewed and evidence ratings applied according to established protocols for guidelines. From this information, an algorithm for the nutritional management of people with T2D and prediabetes was created. Subsequently, algorithm nodes were populated with transcultural attributes to guide decisions. The resultant transcultural diabetes-specific nutrition algorithm (tDNA) was simplified and optimized for global implementation and validation according to current standards for CPG development and cultural adaptation. Thus, the tDNA is a tool to facilitate the delivery of nutrition therapy to patients with T2D and prediabetes in a variety of cultures and geographic locations. It is anticipated that this novel approach can reduce the burden of diabetes, improve quality of life, and save lives. The specific Southeast Asian and Asian Indian tDNA versions can be found in companion articles in this issue of Current Diabetes Reports.

Indexed as

AlgorithmsBlood GlucoseDiabetes Mellitus, Type 2Evidence-Based MedicineFemaleGuidelines as TopicHumansMaleNutritional StatusNutrition TherapyPrediabetic StateProgram DevelopmentBlood Glucose

Identifiers

PMID22322477
PMCPMC3303078

What OpenQuestion holds

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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.