Evidence map›Paper›PMID 27660696›Full record

ReviewWorld journal of diabetes2016

Evidence for current diagnostic criteria of diabetes mellitus.

Ritesh Kumar, Lakshmana Perumal Nandhini, Sadishkumar Kamalanathan, Jayaprakash Sahoo, Muthupillai Vivekanadan

Abstract readReview
In one paragraph

Review in World journal of diabetes, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 1 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

45 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. Thalamic Nuclei Atrophy in Type 1 Diabetes Mellitus Across Disease Duration.Journal of magnetic resonance imaging : JMRI · 2026
    Article
  5. Article
  6. Article
  7. Spectrum of veterinary care in feline diabetes mellitus.Journal of feline medicine and surgery · 2026
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Modern-Day Management of the Dysglycemic Continuum: An Expert Viewpoint from the Arabian Gulf.Diabetes, metabolic syndrome and obesity : targets and therapy · 2024
    Review
  18. Article
  19. Big data and machine learning to tackle diabetes management.European journal of clinical investigation · 2023
    Review
  20. 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

5 authors.

Ritesh KumarRitesh Kumar, Lakshmana Perumal Nandhini, Sadishkumar Kamalanathan, Jayaprakash Sahoo, Muthupillai Vivekanadan, Department of Endocrinology and Metabolism, Jawaharlal Institute of Postgraduate Medical Education and Research, Pondicherry 605006, India.
Lakshmana Perumal NandhiniRitesh Kumar, Lakshmana Perumal Nandhini, Sadishkumar Kamalanathan, Jayaprakash Sahoo, Muthupillai Vivekanadan, Department of Endocrinology and Metabolism, Jawaharlal Institute of Postgraduate Medical Education and Research, Pondicherry 605006, India.
Sadishkumar KamalanathanRitesh Kumar, Lakshmana Perumal Nandhini, Sadishkumar Kamalanathan, Jayaprakash Sahoo, Muthupillai Vivekanadan, Department of Endocrinology and Metabolism, Jawaharlal Institute of Postgraduate Medical Education and Research, Pondicherry 605006, India.
Jayaprakash SahooRitesh Kumar, Lakshmana Perumal Nandhini, Sadishkumar Kamalanathan, Jayaprakash Sahoo, Muthupillai Vivekanadan, Department of Endocrinology and Metabolism, Jawaharlal Institute of Postgraduate Medical Education and Research, Pondicherry 605006, India.
Muthupillai VivekanadanRitesh Kumar, Lakshmana Perumal Nandhini, Sadishkumar Kamalanathan, Jayaprakash Sahoo, Muthupillai Vivekanadan, Department of Endocrinology and Metabolism, Jawaharlal Institute of Postgraduate Medical Education and Research, Pondicherry 605006, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes mellitus is a non-communicable metabolic derangement afflicting several millions of individuals globally. It is associated with several micro and macrovascular complications and is also a leading cause of mortality. The unresolved issue is that of definition of the diagnostic threshold for diabetes. The World Health Organization and the American Diabetes Association (ADA) have laid down several diagnostic criteria for diagnosing diabetes and prediabetes based on the accumulating body of evidence.This review has attempted to analyse the scientific evidence supporting the justification of these differing criteria. The evidence for diagnosing diabetes is strong, and there is a concordance between the two professional bodies. The controversy arises when describing the normal lower limit of fasting plasma glucose (FPG) with little evidence favouring the reduction of the FPG by the ADA. Several studies have also shown the development of complications specific for diabetes in patients with prediabetes as defined by the current criteria though there is a significant overlap of such prevalence in individuals with normoglycemia. Large multinational longitudinal prospective studies involving subjects without diabetes and retinopathy at baseline will ideally help identify the threshold of glycemic measurements for future development of diabetes and its complications.

Indexed as

DiabetesMacrovascular complicationsMicrovascular complicationsPost glucosePrediabetes

Identifiers

PMID27660696
PMCPMC5027003

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.