Evidence map›Paper›PMID 26244134›Full record

ArticleJournal of diabetes and metabolic disorders2015

Effect of the different assays of HbA1c on diabetic patients monitoring.

Farideh Razi, Ensieh Nasli Esfahani, Marjan Rahnamaye Farzami, Ali Tootee, Mostafa Qorbani, Soltan Ahmad Ebrahimi, Mehrzad Nahid, Parvin Pasalar

Abstract read
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Article in Journal of diabetes and metabolic disorders, 2015. 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
–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

7 citing papers in PubMed.

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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

8 authors.

Farideh RaziDiabetes Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Ensieh Nasli EsfahaniDiabetes Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Marjan Rahnamaye FarzamiReference Health Laboratory of Iran, Ministry of Health, Tehran, Iran.
Ali TooteeDiabetes Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Mostafa QorbaniDepartment of Community Medicine, Alborz University of Medical Sciences, Karaj, Iran ; Non communicable Diseases Research Center, Endocrinology and Metabolism Population, Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Soltan Ahmad EbrahimiMassoud Clinical Laboratory, Tehran, Iran.
Mehrzad NahidMassoud Clinical Laboratory, Tehran, Iran.
Parvin PasalarEndocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHbA1c test is widely used for glycemic monitoring of diabetic patients. This study aimed to evaluate clinical performance of different assays for classification of patients into controlled and uncontrolled group base on ADA recommendations.

methodA total of 154 samples from patients with diabetes type 2 with HbA1c concentration covering the whole clinical range were analyzed by four commercially methods; D-10 Hb A1c (Bio-Rad Laboratories), Cobas Integra 400 (Roche Diagnostics), NycoCard Reader II (Axis-Shield) and DS5 (Drew Scientific). For each individual assay, patient's results were classified into controlled and uncontrolled groups (less or more than three decision levels; 6.5 %, 7 % and 8 %) compared to D10 results as reference method. The frequency of each group and also sensitivity, specificity, negative and positive predictive value were estimated.

resultsWe found a significant correlation between assays (r: 0.937-0.945). Sensitivity, specificity, and positive and negative predictive values of the evaluated method to identify uncontrolled patients were as follows: 49.2-95.7 %, 86.5-100 %, 89.1-100 %, and 52.9-93.3 %; respectively.

conclusionsResults show that some HbA1c assays capability to classify diabetic patients according to HbA1c level is still unacceptable.

Indexed as

Decision levelDiabetesGlycemic controlHbA1c

Identifiers

PMID26244134
PMCPMC4524429

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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.