Evidence map›Paper›PMID 15456566›Full record

ArticleAtencion primaria2004

[Diagnosing type 2 diabetes mellitus: in primary care, fasting plasma glucose and glycosylated haemoglobin do the job].

J Jimeno Mollet, N Molist Brunet, J Franch Nadal, J Morató Griera, I Otzet Gramunt, P Pons Barro

Abstract readComparative Study
In one paragraph

Article in Atencion primaria, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Inverse Relationship Between Serum Bilirubin Levels and Diabetic Foot in Chinese Patients with Type 2 Diabetes Mellitus.Medical science monitor : international medical journal of experimental and clinical research · 2017
    Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

J Jimeno MolletArea Básica de Salud Raval Sud, Barcelona, Spain.
N Molist Brunet
J Franch Nadal
J Morató Griera
I Otzet Gramunt
P Pons Barro

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine the validity of glycosylated hemoglobin (HbA1c) values as a method to diagnose type 2 diabetes mellitus (DM2) in a population at risk seen in primary care.

designCross-sectional analytical study.

settingData were obtained for the Raval Sud study population (epidemiologic study of alterations in glucose metabolism in a population at risk).

participants454 subjects from this population (mean age, 65 +/- 3 years; 52% male) at high risk for DM2, seen at a primary care center, were included in the study. MAIN MEASURES: We recorded demographic data and laboratory values for fasting plasma glucose (FPG), oral glucose tolerance test (OGTT), and HbA1c. The diagnostic criteria used for DM2 were those published by the WHO in 1999. Values for HbA1c were expressed as the number of standard deviations (SD) above the mean.

resultsLevels of HbA1c correlated with FPG (r=0.72) and glucose levels 2 h after oral glucose overload (r=0.43). Thirty percent of the patients with FPG between 110 and 125 mg/dL had HbA1c values higher than the reference limits. A combined technique based on FPG>125 mg/dL or FPG 110-125 mg/dL with HbA1c > or = 3 SD (5.94%) showed a sensitivity of 92% and a specificity of 95%.

conclusionsWhen FPG is inconclusive (110-125 mg/dL), an HbA1c value more than 3 standard deviations above the mean (>5.94%) is useful in suggesting a likely diagnosis of diabetes and identifying patients who require treatment.

Indexed as

AgedBlood GlucoseCross-Sectional StudiesDiabetes Mellitus, Type 2FastingFemaleGlucose Tolerance TestGlycated HemoglobinHumansMaleMiddle AgedPrimary Health CareReference ValuesRisk FactorsSensitivity and SpecificityWorld Health OrganizationBlood GlucoseGlycated Hemoglobin

Identifiers

PMID15456566
PMCPMC7668687

What OpenQuestion holds

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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.