Evidence map›Paper›PMID 30992067›Full record

ArticleBMC nephrology2019

Association between prediabetes (defined by HbA1

Gwang Sil Kim, Hyun Ho Oh, Sang Hyun Kim, Byung Ok Kim, Young Sup Byun

Open access · goldAbstract read
In one paragraph

Article in BMC nephrology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 13% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Gwang Sil KimDivision of Cardiology, Department of Internal Medicine, Sanggye Paik Hospital, Inje University, Dongil-ro 1342, Nowon-gu, Seoul, 01757, South Korea.
Hyun Ho OhDivision of Nephrology, Department of Internal Medicine, Sanggye Paik Hospital, Inje University, Seoul, South Korea.
Sang Hyun KimDivision of Nephrology, Department of Internal Medicine, Sanggye Paik Hospital, Inje University, Seoul, South Korea.
Byung Ok KimDivision of Cardiology, Department of Internal Medicine, Sanggye Paik Hospital, Inje University, Dongil-ro 1342, Nowon-gu, Seoul, 01757, South Korea.
Young Sup ByunDivision of Cardiology, Department of Internal Medicine, Sanggye Paik Hospital, Inje University, Dongil-ro 1342, Nowon-gu, Seoul, 01757, South Korea. ysbyun@paik.ac.kr.ORCID 0000-0002-6360-6400
Inje University Sanggye Paik Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of the present study was to investigate the clinical impact of prediabetes on the development of incident chronic kidney disease (CKD) in a Korean adult population, using data from the Korea Genome and Epidemiology Study.

methodsThis prospective cohort study included 7728 Korean adults without baseline CKD and type 2 diabetes. Prediabetes was defined by impaired fasting glucose (IFG), impaired glucose tolerance (IGT), and HbA1

resultsOver a median follow-up period of 8.7 years, 871 of 7728 (11.3%) subjects developed incident CKD. Patients with prediabetes, as defined by IGT or HbA1

conclusionIGT- or HbA1

Indexed as

Glucose IntolerancePrediabetic StateRenal Insufficiency, ChronicBlood GlucoseEarly DiagnosisFemaleGlomerular Filtration RateGlycated HemoglobinHumansIncidenceMaleMiddle AgedPredictive Value of TestsProspective StudiesRepublic of KoreaRisk AssessmentBlood GlucoseGlycated HemoglobinCardiovascular diseaseChronic kidney diseaseGeneral populationPrediabetes

Identifiers

PMID30992067
PMCPMC6469043
OpenAlexW2946531842

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.