Evidence map›Paper›PMID 28124259›Full record

ArticleEndocrine2017

Reducing the prevalence of dysglycemia: is the time ripe to test the effectiveness of intervention in high-risk individuals with elevated 1 h post-load glucose levels?

Michael Bergman, Ram Jagannathan, Martin Buysschaert, Jose Luis Medina, Mary Ann Sevick, Karin Katz, Brenda Dorcely, Jesse Roth, Angela Chetrit, Rachel Dankner

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Article in Endocrine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
  4. Novel biomarkers for prediabetes, diabetes, and associated complications.Diabetes, metabolic syndrome and obesity : targets and therapy · 2017
    Review
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.

Michael BergmanNYU School of Medicine, Department of Medicine, Division of Endocrinology and Metabolism, NYU Langone Diabetes Prevention Program, New York, NY, 10016, USA. michael.bergman@nyumc.org.
Ram JagannathanNYU School of Medicine, Department of Population Health, Division of Health Behavior Change, New York, NY, 10016, USA.
Martin BuysschaertDepartment of Endocrinology and Diabetology, Université Catholique de Louvain, University Clinic Saint-Luc, Brussels, Belgium.
Jose Luis MedinaOporto Medical School, Oporto University, Oporto, Portugal.
Mary Ann SevickNYU School of Medicine, Department of Population Health, Division of Health Behavior Change, New York, NY, 10016, USA.
Karin KatzNYU School of Medicine, Department of Medicine, Division of Endocrinology and Metabolism, NYU Langone Diabetes Prevention Program, New York, NY, 10016, USA.
Brenda DorcelyNYU School of Medicine, Department of Medicine, Division of Endocrinology and Metabolism, NYU Langone Diabetes Prevention Program, New York, NY, 10016, USA.
Jesse RothThe Feinstein Institute for Medical Research, Manhasset, North Shore, New York, 11030, USA.
Angela ChetritUnit for Cardiovascular Epidemiology, The Gertner Institute for Epidemiology and Health Policy Research, Sheba Medical Center, Tel Hashomer, 52621, Israel.
Rachel DanknerThe Feinstein Institute for Medical Research, Manhasset, North Shore, New York, 11030, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identifying the earliest time point on the prediabetic continuum is critical to avoid progressive deterioration in β-cell function. Progressively rising glucose levels even within the "normal range" occur considerably late in the evolution to diabetes thus presenting an important opportunity for earlier diagnosis, treatment, and possible reversal. An elevated 1 h postprandial glucose level, not detected by current diagnostic standards, may provide an opportunity for the early identification of those at risk. When the 1 h post-load glucose level is elevated, lifestyle intervention may have the greatest benefit for preserving β-cell function and prevent further progression to prediabetes and diabetes. In view of the considerable consistent epidemiologic data in large disparate populations supporting the predictive capacity of the1 h post-load value for predicting progression to diabetes and mortality, the time is therefore ripe to evaluate this hypothesis in a large, prospective multicenter randomized trial with lifestyle intervention.

Indexed as

Blood GlucoseDisease ProgressionGlucose Metabolism DisordersGlucose Tolerance TestHumansLife StylePrevalenceBlood GlucoseDiabetesDiabetes preventionDysglycemiaOral glucose tolerance testPrediabetes

Identifiers

What OpenQuestion holds

Textmetadata
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.