Evidence map›Paper›PMID 36618515›Full record

ArticleIndian journal of endocrinology and metabolism

Targeting Predialysis Glucose up to 180 mg/dl Reduces Glycemic Variability in End Stage Diabetic Nephropathy.

Nikita Shah, Jugal V Gada, Vishwanath S Billa, Jatin Piyush Kothari, Shrirang D Bichu, Deepa H Usulumarty, Suhas S Khaire, Premlata K Varthakavi, Nikhil M Bhagwat

Open access · diamondAbstract 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
0.3field-weighted citation impact, top 39% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
  2. Review
  3. 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

9 authors at 1 institution in 2 countries.

Nikita ShahDepartment of Endocrinology, Room No. 419, 4 Floor, College Building, Topiwala National Medical College and BYL Nair Charitable Hospital, A.L. Nair Road, Mumbai Central, Mumbai, Maharashtra, India.
Jugal V GadaDepartment of Endocrinology, Room No. 419, 4 Floor, College Building, Topiwala National Medical College and BYL Nair Charitable Hospital, A.L. Nair Road, Mumbai Central, Mumbai, Maharashtra, India.
Vishwanath S BillaDepartment of Nephrology, Sushrut Hospital and Research Centre, Mumbai, Maharashtra, India.
Jatin Piyush KothariDepartment of Nephrology, P.D. Hinduja Hospital and Research Centre, Mumbai, Maharashtra, India.
Shrirang D BichuDepartment of Nephrology, Head of Nephrology, Bombay Hospital and Medical Research Centre, Mumbai, Maharashtra, India.
Deepa H UsulumartyDepartment of Nephrology, Sushrut Hospital and Research Centre, Mumbai, Maharashtra, India.
Suhas S KhaireDepartment of Endocrinology, Room No. 419, 4 Floor, College Building, Topiwala National Medical College and BYL Nair Charitable Hospital, A.L. Nair Road, Mumbai Central, Mumbai, Maharashtra, India.
Premlata K VarthakaviDepartment of Endocrinology, Room No. 419, 4 Floor, College Building, Topiwala National Medical College and BYL Nair Charitable Hospital, A.L. Nair Road, Mumbai Central, Mumbai, Maharashtra, India.
Nikhil M BhagwatDepartment of Endocrinology, Room No. 419, 4 Floor, College Building, Topiwala National Medical College and BYL Nair Charitable Hospital, A.L. Nair Road, Mumbai Central, Mumbai, Maharashtra, India.
P. D. Hinduja Hospital and Medical Research Centre · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Context: Glycemic variability plays a major role in the development as well as the progression of cardiovascular disease in diabetes. Aims: We compared the mean plasma glucose and glycemic variability (GV) parameters on and off hemodialysis (HD) in patients with End-Stage Diabetic Nephropathy (ESDN) and End-Stage Renal Disease (ESRD). Settings and Design: Cross-sectional study. Methods and Material: We included 23 ESDN and 6 ESRD patients who underwent continuous glucose monitoring (CGM) (iPro2) for 6 days and a glucose-free dialysate for 4 hours thrice weekly. EasyGV software was used to calculate the variability parameters {mean glucose, Time in range (TIR), Time above and below range (TAR/TBR), CV (Coefficient of Variation) and MAGE}. Statistical Analysis Used: The quantitative data variables were expressed by using mean and SD. Unpaired Results: In the ESDN group, TIR was significantly lower whereas TAR and TBR were significantly higher on HD day. MAGE (101.88 ± 40.5 v/s 89.46 ± 30.0, Conclusions: Targeting a pre- HD glucose value <180 mg/dl could be a good strategy to prevent larger fluctuation during and post HD.

Indexed as

Continuous glucose monitoring systemend stage diabetic nephropathyglycemic variabilityhemodialysismean amplitude of glycemic excursion (MAGE)type 2 diabetes mellitus

Identifiers

PMID36618515
PMCPMC9815189
OpenAlexW4312763638

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.