Evidence map›Paper›PMID 31428550›Full record

ArticleCureus2019

A Cross-sectional Retrospective Analysis of Glycemic Burden and Nephropathy in an Indian Population and Formulation of a New Plan Using eGFR/HbA1c Grid Formation.

Sayak Roy, Kingshuk Bhattacharjee

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 36% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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

2 authors at 2 institutions in 2 countries.

Sayak RoyInternal Medicine, Calcutta Medical Research Institute Hospital, Kolkata, IND.
Kingshuk BhattacharjeeMedicine, Shri Jagdishprasad Jhabarmal Tibrewala University, Jhunjhunu, IND.
Medical College and Hospital, Kolkata · INMedical Research Institute · LK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Diabetes is a metabolic, non-communicable disease (NCD) that represents one of the major causes of morbidity and mortality worldwide. India has a huge burden of chronic kidney disease (CKD) that is associated with diabetes. Materials and methods Cross-sectional data were collected for a total of 241 patients from the authors' clinic record. A new approach for the management of patients with diabetes was proposed using a grid system, where we need to consider the Hemoglobin A1C (HbA1c) and estimated glomerular filtration rate (eGFR) values of the patient and assign a zone (green, blue, orange or red) and subsequently decide an appropriate treatment according to the assigned zone. Results We found that 20.73% of patients had decreased eGFR and only 31.12% of patients achieved target HbA1c level. A high prevalence of diabetic nephropathy (20.73%) was observed in this study population. A statistically significant difference among the four groups (zones) with respect to age (

Indexed as

estimated glomerular filtration rateglycated hemoglobinlow-middle income countrynephropathytype 2 diabetes

Identifiers

PMID31428550
PMCPMC6695295
OpenAlexW2967743602

What OpenQuestion holds

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LicenceCC BY
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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.