Evidence map›Paper›PMID 34423045›Full record

ArticleJournal of diabetes research2021

The Predictive Effect of Health Examination in the Incidence of Diabetes Mellitus in Chinese Adults: A Population-Based Cohort Study.

Xiaomin Fu, Yingmin Jia, Jing Liu, Qinghua Lei, Lele Li, Nan Li, Yanyan Hu, Shanshan Wang, Hongzhou Liu, Shuangtong Yan

Abstract read
In one paragraph

Article in Journal of diabetes research, 2021. 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
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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.

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

10 authors.

Xiaomin FuDepartment of Endocrinology, The First Medical Center, Chinese PLA General Hospital, No. 28 Fuxing Road, Haidian District, Beijing 100853, China.ORCID https://orcid.org/0000-0002-9586-8763
Yingmin JiaDepartment of Nephrology, Shunyi Hospital, Beijing Traditional Chinese Medicine Hospital, No. 5 Zhanqian East Street, Shunyi District, Beijing 101300, China.ORCID https://orcid.org/0000-0001-8909-9315
Jing LiuClinics of Cadre, Department of Outpatient, The First Medical Center, Chinese PLA General Hospital, No. 28 Fuxing Road, Haidian District, Beijing 100853, China.ORCID https://orcid.org/0000-0002-4118-442X
Qinghua LeiPhysical Examination Center, Central Hospital of Handan City, No. 59 Congtai North Road, Congtai District, Handan, Hebei Province 056008, China.ORCID https://orcid.org/0000-0002-3422-1931
Lele LiDepartment of Endocrinology, Genetics, Metabolism and Adolescent Medicine, Beijing Children's Hospital, The Capital Medical University, National Center for Children's Health, No. 56 Nan Li Shi Road, West District, Beijing 100045, China.ORCID https://orcid.org/0000-0001-8291-6810
Nan LiDepartment of Endocrinology, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, No. 28 Fuxing Road, Haidian District, Beijing 100853, China.ORCID https://orcid.org/0000-0003-3820-0692
Yanyan HuPhysical Examination Center, Central Hospital of Handan City, No. 59 Congtai North Road, Congtai District, Handan, Hebei Province 056008, China.ORCID https://orcid.org/0000-0001-9375-2786
Shanshan WangPhysical Examination Center, Central Hospital of Handan City, No. 59 Congtai North Road, Congtai District, Handan, Hebei Province 056008, China.ORCID https://orcid.org/0000-0002-3686-5124
Hongzhou LiuDepartment of Endocrinology, First Hospital of Handan City, No. 25 Congtai Road, Congtai District, Handan, Hebei Province 056002, China.ORCID https://orcid.org/0000-0002-9930-4535
Shuangtong YanDepartment of Endocrinology, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, No. 28 Fuxing Road, Haidian District, Beijing 100853, China.ORCID https://orcid.org/0000-0003-2344-4504

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe incidence of diabetes mellitus (DM) was increasing in recent years, and it is important to screen those nondiabetic populations through health examination to detect the potential risk factors for DM. We aimed to find the predictive effect of health examination on DM.

methodsWe used the public database from Rich Healthcare Group of China to evaluate the potential predictive effect of health examination in the onset of DM. The colinear regression was used for estimating the relationship between the dynamics of the health examination index and the incident year of DM. The time-dependent ROC was used to calculate the best cutoff in predicting DM in the follow-up year. The Kaplan-Meier method and Cox regression were used to evaluate the HR of related health examination.

resultsA total of 211,833 participant medical records were included in our study, with 4,172 participants diagnosing as DM in the following years (among 2-7 years). All the initial health examination was significantly different in participants' final diagnosing as DM to those without DM. We found a negative correlation between the incidence of years of DM and the average initial FPG (

conclusionInitial FPG had a good predictive effect for detecting DM. The FPG should be controlled less than 5.21 mmol/L.

Indexed as

AdultAgedBiomarkersBlood Chemical AnalysisBlood GlucoseChinaDatabases, FactualDiabetes MellitusFastingFemaleHumansIncidenceMaleMiddle AgedPredictive Value of TestsPrognosisBiomarkersBlood Glucose

Identifiers

PMID34423045
PMCPMC8377476

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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.