Evidence map›Paper›PMID 37946056›Full record

ArticleNature medicine2023

Global variation in diabetes diagnosis and prevalence based on fasting glucose and hemoglobin A1c.

NCD Risk Factor Collaboration (NCD-RisC)

Open access · hybridAbstract read
In one paragraph

Article in Nature medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 1 pooled it
14.7field-weighted citation impact, top 1% 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

43 citing papers in PubMed, 1 synthesis or guideline pooled it, 73 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

1 author at 20 institutions in 93 countries.

NCD Risk Factor Collaboration (NCD-RisC)
Jahrom University of Medical Sciences · IRImperial College London · GBTehran University of Medical Sciences · IRUniversity College London · GBCentro de Investigación Biomédica en Red de Epidemiología y Salud Pública · ESInnsbruck Medical University · ATUniversity of Southern Denmark · DKUniversity of the West Indies · JMFinnish Institute for Health and Welfare · FIMinistry of Health · MYEmory University · USInstituto Conmemorativo Gorgas de Estudios de la Salud · PAKU Leuven · BENational Institute of Nutrition · INNutrition Center of the Philippines · PHPontificia Universidad Católica de Chile · CLShahid Beheshti University of Medical Sciences · IRUniversity Hospital Centre Zagreb · HRUniversity of Eastern Finland · FIUniversity of Southampton · GB

Funding

Research BaseP30DK092926 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MARY ELLEN MICHELE HEISLER, ADESUWA B OLOMU · 2011 to 2026
$10.0M
British Heart Foundation RG/13/16/30528British Heart Foundation RG/19/4/34452Medical Research Council G0400491Medical Research Council G0601019Medical Research Council MC_PC_21000Medical Research Council MC_PC_21001Medical Research Council MC_PC_21003Medical Research Council MC_PC_21022Medical Research Council MC_U147585819Medical Research Council MC_U147585824Medical Research Council MC_U147585827Medical Research Council MC_UP_A620_1014Medical Research Council MC_UP_A620_1015Medical Research Council MC_UP_A620_1016Medical Research Council MC_UU_12011/1Medical Research Council MC_UU_12011/2Medical Research Council MC_UU_12011/3Medical Research Council MR/V034057/1NIDDK NIH HHS P30 DK092926Versus Arthritis 19583
6 · The paper itself

Abstract

Fasting plasma glucose (FPG) and hemoglobin A1c (HbA1c) are both used to diagnose diabetes, but these measurements can identify different people as having diabetes. We used data from 117 population-based studies and quantified, in different world regions, the prevalence of diagnosed diabetes, and whether those who were previously undiagnosed and detected as having diabetes in survey screening, had elevated FPG, HbA1c or both. We developed prediction equations for estimating the probability that a person without previously diagnosed diabetes, and at a specific level of FPG, had elevated HbA1c, and vice versa. The age-standardized proportion of diabetes that was previously undiagnosed and detected in survey screening ranged from 30% in the high-income western region to 66% in south Asia. Among those with screen-detected diabetes with either test, the age-standardized proportion who had elevated levels of both FPG and HbA1c was 29-39% across regions; the remainder had discordant elevation of FPG or HbA1c. In most low- and middle-income regions, isolated elevated HbA1c was more common than isolated elevated FPG. In these regions, the use of FPG alone may delay diabetes diagnosis and underestimate diabetes prevalence. Our prediction equations help allocate finite resources for measuring HbA1c to reduce the global shortfall in diabetes diagnosis and surveillance.

Indexed as

Diabetes MellitusGlucoseBlood GlucoseFastingGlycated HemoglobinHumansPrevalenceBlood GlucoseGlucoseGlycated Hemoglobin

Identifiers

PMID37946056
PMCPMC10667106
OpenAlexW4388524098

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.