Evidence map›Paper›PMID 36618524›Full record

ArticleIndian journal of endocrinology and metabolism

Clinical and Demographic Profile of Diabetic Patients from Central India - Results from Diabetes Registry.

Shailesh Pitale, Anagha Sahasrabuddhe, Pramod Gandhi, Prashant Joshi, Ajay Sakhare, Nikhil Balankhe, Shankar Khobragade, Shantanu Sengupta, Sunil Ambulkar, Mukund Ganeriwal and 2 more

Abstract read
In one paragraph

Article 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. Article
  2. Article
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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

12 authors.

Shailesh PitaleDepartment of Endocrinology, DEW Medicare and Trinity Hospital, Nagpur, Maharashtra, India.
Anagha SahasrabuddheDepartment of Physiology, DMMC and Shalinitai Meghe Hospital, Nagpur, Maharashtra, India.
Pramod GandhiDepartment of Endocrinology, Kingsway Hospitals, Nagpur, Maharashtra, India.
Prashant JoshiDepartment of Medicine, All India Institute of Medical Sciences, Nagpur, Maharashtra, India.
Ajay SakhareDepartment of Medicine, Viveka Hospitals, Nagpur, Maharashtra, India.
Nikhil BalankheDepartment of Medicine, Viveka Hospitals, Nagpur, Maharashtra, India.
Shankar KhobragadeDepartment of Medicine, Khobragade Hospital, Nagpur, Maharashtra, India.
Shantanu SenguptaDepartment of Medicine, Sengupta Hospital, Nagpur, Maharashtra, India.
Sunil AmbulkarDepartment of Endocrinology, Institute of Endocrinology, Nagpur, Maharashtra, India.
Mukund GaneriwalDepartment of Medicine, Ganeriwal Clinic, Nagpur, Maharashtra, India.
Jayashri ShembalkarDepartment of Endocrinology, Getwell Hospital, Nagpur, Maharashtra, India.
Sanjay NaiduDepartment of Endocrinology, Naidu Hospital, Nagpur, Maharashtra, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study was done to analyse the demographic profile and presentation of diabetes in Central India. Design: Data was collected for this cross-sectional study from an electronic diabetes registry from 2014 to 2019. Demographic details, patient history and presence or absence of co-morbid conditions, duration of diabetes, age of onset of diabetes, drug history, personal history, presence of micro and/or macrovascular complications and investigations done were obtained. Statistical Analysis: The association between each factor and the outcome was studied in terms of prevalence ratio (PR) using the R-3.0.0 programming (R Foundation for Statistical Computing, Vienna, Austria) language. Statistical significance was evaluated at a 5% level. Results: Among 12,434 patients, 54.95% were below 50 years and 45.05% were above 50 years. 50.21% were females and 49.79% were males. The mean age was 47.49 ± 14.78 years and the mean body mass index (BMI) was 26.85 ± 5.19 kg/m Conclusion: From a large population study on diabetes, it was found a majority of the type 2 diabetes mellitus (T2DM) cases (65%) are sub-optimally controlled with HbA1c levels. Also, microvascular complications were related to the sub-optimal glycaemic control, but not the macro-vascular complications.

Indexed as

CVDdiabetesHb1Acnephropathyneuropathyretinopathy

Identifiers

PMID36618524
PMCPMC9815190

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