Evidence map›Paper›PMID 34769614›Full record

ArticleInternational journal of environmental research and public health2021

T1DMicro: A Clinical Risk Calculator for Type 1 Diabetes Related Microvascular Complications.

Paul Minh Huy Tran, Eileen Kim, Lynn Kim Hoang Tran, Bin Satter Khaled, Diane Hopkins, Melissa Gardiner, Jennifer Bryant, Risa Bernard, John Morgan, Bruce Bode and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Nomogram for Prediction of Diabetic Retinopathy Among Type 2 Diabetes Population in Xinjiang, China.Diabetes, metabolic syndrome and obesity : targets and therapy · 2022
    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

13 authors.

Paul Minh Huy TranCenter for Biotechnology and Genomic Medicine, Augusta University, 1120, 15th Str., Augusta, GA 30912, USA.ORCID 0000-0003-2197-4376
Eileen KimCenter for Biotechnology and Genomic Medicine, Augusta University, 1120, 15th Str., Augusta, GA 30912, USA.
Lynn Kim Hoang TranCenter for Biotechnology and Genomic Medicine, Augusta University, 1120, 15th Str., Augusta, GA 30912, USA.
Bin Satter KhaledCenter for Biotechnology and Genomic Medicine, Augusta University, 1120, 15th Str., Augusta, GA 30912, USA.
Diane HopkinsCenter for Biotechnology and Genomic Medicine, Augusta University, 1120, 15th Str., Augusta, GA 30912, USA.
Melissa GardinerCenter for Biotechnology and Genomic Medicine, Augusta University, 1120, 15th Str., Augusta, GA 30912, USA.
Jennifer BryantCenter for Biotechnology and Genomic Medicine, Augusta University, 1120, 15th Str., Augusta, GA 30912, USA.
Risa BernardCenter for Biotechnology and Genomic Medicine, Augusta University, 1120, 15th Str., Augusta, GA 30912, USA.
John MorganDepartment of Neurology, Medical College of Georgia, Augusta University, 1120, 15th Str., Augusta, GA 30912, USA.
Bruce BodeAtlanta Diabetes Associates, Atlanta, GA 30318, USA.
John Chip ReedSoutheastern Endocrine and Diabetes, Atlanta, GA 30076, USA.
Jin-Xiong SheCenter for Biotechnology and Genomic Medicine, Augusta University, 1120, 15th Str., Augusta, GA 30912, USA.ORCID 0000-0002-0966-6381
Sharad PurohitCenter for Biotechnology and Genomic Medicine, Augusta University, 1120, 15th Str., Augusta, GA 30912, USA.ORCID 0000-0003-0385-3829

Funding

Deep Learning Based Genetic Risk Prediction for Type 1 DiabetesF30DK121461 · NIDDK · AUGUSTA UNIVERSITY · PI TRAN, PAUL · 2019 to 2021
$123k
NIDDK NIH HHS F30 DK121461NIH HHS F30DK12146101A1
6 · The paper itself

Abstract

Development of complications in type 1 diabetes patients can be reduced by modifying risk factors. We used a cross-sectional cohort of 1646 patients diagnosed with type 1 diabetes (T1D) to develop a clinical risk score for diabetic peripheral neuropathy (DPN), autonomic neuropathy (AN), retinopathy (DR), and nephropathy (DN). Of these patients, 199 (12.1%) had DPN, 63 (3.8%) had AN, 244 (14.9%) had DR, and 88 (5.4%) had DN. We selected five variables to include in each of the four microvascular complications risk models: age, age of T1D diagnosis, duration of T1D, and average systolic blood pressure and HbA1C over the last three clinic visits. These variables were selected for their strong evidence of association with diabetic complications in the literature and because they are modifiable risk factors. We found the optimism-corrected R2 and Harrell's C statistic were 0.39 and 0.87 for DPN, 0.24 and 0.86 for AN, 0.49 and 0.91 for DR, and 0.22 and 0.83 for DN, respectively. This tool was built to help inform patients of their current risk of microvascular complications and to motivate patients to control their HbA1c and systolic blood pressure in order to reduce their risk of these complications.

Indexed as

Diabetes Mellitus, Type 1Diabetes Mellitus, Type 2Diabetic NeuropathiesDiabetic RetinopathyCross-Sectional StudiesHumansRisk Factorsclinical calculatorcomplicationsnephropathyperipheral and autonomic neuropathyretinopathyrisk predictiontype 1 diabetes

Identifiers

PMID34769614
PMCPMC8583376

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Registered trials

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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.