Evidence map›Paper›PMID 35873934›Full record

ReviewIndian journal of endocrinology and metabolism

Incorporating Integrated Personalised Diabetes Management (iPDM) in Treatment Strategy: A Pragmatic Approach.

Sanjay Kalra, Ganapathi Bantwal, Rakesh Kumar Sahay, Saptarshi Bhattacharya, Manash P Baruah, Shehla Sheikh, Tejal Lathia

Abstract readReview
In one paragraph

Review in Indian journal of endocrinology and metabolism. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Applications and prospects of biomaterials in diabetes management.Frontiers in bioengineering and biotechnology · 2025
    Review
  2. Article
  3. 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

7 authors.

Sanjay KalraDepartment of Endocrinology, Bharti Hospital and BRIDE, Karnal, Haryana, India.
Ganapathi BantwalDepartment of Endocrinology, St. John's Medical College and Hospital, Bengaluru, Karnataka, India.
Rakesh Kumar SahayDepartment of Endocrinology, Osmania Medical College, Hyderabad, Telangana, India.
Saptarshi BhattacharyaeHealth Diabetes & Endocrinology, Max Superspeciality Hospital, New Delhi, India.
Manash P BaruahDepartment of Endocrinology, Excel Hospital, Guwahati, Assam, India.
Shehla SheikhDepartment of Endocrinology, Nagpada-Mumbai Central, Mumbai, Maharashtra, India.
Tejal LathiaDepartment of Endocrinology, Apollo Hospitals and Fortis Hospital, Mumbai, Maharashtra, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes is a global public health concern. Vigilant monitoring and effective management of glycaemic variations are essential to prevent complications of diabetes. Effectively incorporating monitoring strategies in management of diabetes is a serious challenge. Patient-centered approach is necessary to customise monitoring and therapy of diabetes. This has been made possible by integrating technology with personalised therapeutic strategy. The integrated personalised diabetes management (iPDM) is a holistic, patient-centered approach that focuses on personalising diabetes management to streamline therapy and improve outcome. iPDM helps strengthen the care process, facilitates communication between patients and their healthcare team, and integrates digital tools that visualise and analyse data. The five E's which includes enthusiasm, education, expertise, empathy and engagement are the key pillars of a strong foundation for the iPDM model. iPDM model is a convenient and easily accessible tool that shifts the management paradigm from an "algorithmic" to "personalized" care to optimise treatment outcomes. Structured self-monitoring of blood glucose (SMBG) should be available as part of the self-management process for people with sub-optimally controlled type 2 diabetes, including those not on insulin therapies. Different SMBG regimens should be followed based on factors such as diabetes type, treatment approach (diet, oral antidiabetic medication, or insulin), glycaemic control, available resources, and patient's level of education.

Indexed as

Blood glucose monitoringcommunicationdiabetes managementiPDMpatient educationpatient empowermentpersonalised carestructured SMBG

Identifiers

PMID35873934
PMCPMC9302415

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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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.