Evidence map›Paper›PMID 36705888›Full record

ReviewDiabetes therapy : research, treatment and education of diabetes and related disorders2023

Expert Consensus Recommendations on Time in Range for Monitoring Glucose Levels in People with Diabetes: An Indian Perspective.

Viswanathan Mohan, Shashank Joshi, Ambrish Mithal, Jothydev Kesavadev, Ambika G Unnikrishnan, Banshi Saboo, Prasanna Kumar, Manoj Chawla, Abhijit Bhograj, Rajiv Kovil

Open access · goldAbstract readReview
In one paragraph

Review in Diabetes therapy : research, treatment and education of diabetes and related disorders, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.6field-weighted citation impact, top 6% 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, 18 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. Review
  5. Optimizing Continuous Glucose Monitoring Adoption in India: From Current Challenges to Future Solutions.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2026
    Review
  6. Article
  7. Using digital tools to improve diabetes care in India with continuous glucose monitoring.Therapeutic advances in endocrinology and metabolism · 2025
    Review
  8. Article
  9. Review
  10. Observational
  11. Article
  12. 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

10 authors at 9 institutions in 1 country.

Viswanathan MohanDr. Mohan's Diabetes Specialities Centre, Chennai, India. drmohans@diabetes.ind.in.ORCID http://orcid.org/0000-0001-5038-6210
Shashank JoshiDepartment of Endocrinology, Lilavati Hospital, Mumbai, India.
Ambrish MithalMax Healthcare-Pan Max, Saket, New Delhi, India.
Jothydev KesavadevDepartment of Endocrinology, Jothydev's Diabetes Research Centres, Trivandrum, Kerala, India.
Ambika G UnnikrishnanDepartment of Endocrinology, Chellaram Hospital-Diabetes Care and Multispecialty, Bavdhan, Pune, India.
Banshi SabooDepartment of Diabetology, Diabetes Care Hormone Clinic, Ambawadi, Ahmedabad, India.
Prasanna KumarDepartment of Endocrinology, Center for Diabetes and Endocrine Care, Kalyanangar, Bengaluru, India.
Manoj ChawlaDepartment of Endocrinology, SL Raheja Hospital, Mumbai, Maharashtra, India.
Abhijit BhograjDepartment of Endocrinology, Manipal Hospital, Hebbal, Bengaluru, Karnataka, India.
Rajiv KovilDepartment of Diabetology, Dr. Kovil's Diabetes Care, Centre Andheri (West), Mumbai, India.
Chellaram Hospital · INDiabetes Care & Hormone Clinic · INDr. Kovil's Diabetes Care Centre · INDr. Mohan's Diabetes Specialities Centre · INJothydev's Diabetes and Research Center · INLilavati Hospital & Research Centre · INManipal Hospital · INMax Healthcare · INS.L. Raheja Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Keeping up with the global scenario, diabetes prevalence is on rise in India. Inadequate glycemic control is a major cause of diabetes-related morbidity and mortality. The conventional standards of care (SOC) in diabetes, including self-monitoring of blood glucose and measurement of glycated hemoglobin, have supported achievement of glycemic control, yet there are a few limitations. With the use of current technologies and metrics, such as continuous glucose monitoring (CGM) and standardized CGM data reporting, the continuous real-time glucose levels can be measured, and importantly, the percentage of time above, below, and within the target glucose range can be calculated, which facilitates patient-centric care, a current goal in diabetes management. International consensus recommendations endorse the incorporation of CGM and CGM data reporting in SOC for diabetes management. The guidelines provide time in range (TIR) thresholds for different patient populations and different types of diabetes. However, extrapolation of these global guidelines does not aptly cover the Indian population, which has diverse diet, culture, and religious practices. In this context, a consensus meeting was held in India in 2021 with experts in the field of diabetes care. The purpose of the meeting was to develop consensus recommendations for TIR thresholds for different patient profiles in India. Those expert recommendations, together with an evidence-based review, are reported here. The aim of this agreement is to aid clinicians across India to routinely use CGM and CGM data reports for optimizing individualized diabetes care, by implementing clinical targets for TIR.

Indexed as

Consensus recommendationsContinuous glucose monitoringElderlyGestational diabetes mellitusPregnancyTime in range(s)Type 1 diabetes mellitusType 2 diabetes mellitus

Identifiers

PMID36705888
PMCPMC9943834
OpenAlexW4318220309

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.