Evidence map›Paper›PMID 33681127›Full record

ArticleFrontiers in public health2021

Genetic Risk Score Increased Discriminant Efficiency of Predictive Models for Type 2 Diabetes Mellitus Using Machine Learning: Cohort Study.

Yikang Wang, Liying Zhang, Miaomiao Niu, Ruiying Li, Runqi Tu, Xiaotian Liu, Jian Hou, Zhenxing Mao, Zhenfei Wang, Chongjian Wang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

7 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Machine Learning in Nutrition Research.Advances in nutrition (Bethesda, Md.) · 2022
    Article
  6. HNF1A Mutations and Beta Cell Dysfunction in Diabetes.International journal of molecular sciences · 2022
    Review
  7. Machine learning for diabetes clinical decision support: a review.Advances in computational intelligence · 2022
    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

10 authors at 1 institution in 1 country.

Yikang WangDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China.
Liying ZhangDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China.
Miaomiao NiuDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China.
Ruiying LiDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China.
Runqi TuDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China.
Xiaotian LiuDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China.
Jian HouDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China.
Zhenxing MaoDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China.
Zhenfei WangSchool of Information Engineering, Zhengzhou University, Zhengzhou, China.
Chongjian WangDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China.
Zhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Diabetes Mellitus, Type 2AdultCohort StudiesHumansMachine LearningProspective StudiesRisk AssessmentRisk Factorscohort studygenetic risk scoremachine learningrisk predictiontype 2 diabetes

Identifiers

PMID33681127
PMCPMC7925839
OpenAlexW3129471254

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.