Evidence map›Paper›PMID 26094705›Full record

ArticleDiabetic medicine : a journal of the British Diabetic Association2016

Discriminatory value of alanine aminotransferase for diabetes prediction: the Insulin Resistance Atherosclerosis Study.

C Lorenzo, A J Hanley, M J Rewers, S M Haffner

Abstract read
In one paragraph

Article in Diabetic medicine : a journal of the British Diabetic Association, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

6 citing papers in PubMed, 14 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

4 authors at 3 institutions in 2 countries.

C LorenzoDepartment of Medicine, University of Texas Health Science Center, San Antonio, TX, USA.
A J HanleyDepartments of Medicine and Nutritional Sciences and Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
M J RewersBarbara Davis Center for Childhood Diabetes, University Colorado School of Medicine, Aurora, CO, USA.
S M HaffnerDepartment of Medicine, University of Texas Health Science Center, San Antonio, TX, USA.
The University of Texas Health Science Center at San Antonio · USUniversity of Colorado Health · USUniversity of Toronto · CA

Funding

PILOT STUDY--SUBSTRATE METABOLISM IN EXTREMELY LOW BIRTH WEIGHT INFANTSP30DK048520 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI BRYAN C BERGMAN · 1995 to 2026
$32.6M
ZOLEDRONATE VS AREDIA IN MULTIPLE MYELOMA/BREAST CANCER W /BONE DISORDERSM01RR001346 · NCRR · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI PLISZKA, STEVEN R. · 1985 to 2008
$23.1M
Institute for Integration of Medicine & Science: A Partnership to Improve HealthUL1TR001120 · NCATS · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI CLARK, ROBERT A, HARGREAVES, KENNETH M · 2013 to 2017
$16.5M
INSULIN RESISTANCE, HYPERGLYCEMIA AND ATHEROSCLEROSISU01HL047889 · NHLBI · KAISER FOUNDATION RESEARCH INSTITUTE · PI SELBY, JOE V · 1991 to 1999
–
INSULIN RESISTANCE AND ATHEROSCLEROSIS STUDY (IRAS)U01HL047890 · NHLBI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BERGMAN, RICHARD N. · 1991 to 1999
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INSULIN RESISTANCE AND CARDIOVASCULAR DISEASEU01HL047892 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI REWERS, MARIAN J. · 1991 to 1999
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INSULIN RESISTANCE AND ATHEROSCLEROSIS STUDY (IRAS)U01HL047902 · NHLBI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI SAAD, MOHAMMED F · 1991 to 1999
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INSULIN RESISTANCE AND ATHEROSCLEROSIS STUDY (IRAS)U01HL047887 · NHLBI · WAKE FOREST UNIVERSITY · PI WAGENKNECHT, LYNNE E · 1991 to 1999
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NCATS NIH HHS UL1 TR001120NCRR NIH HHS M01 RR001346NCRR NIH HHS M01 RR01346NCRR NIH HHS M01 RR431NHLBI NIH HHS HL-47887NHLBI NIH HHS HL-47889NHLBI NIH HHS HL-47890NHLBI NIH HHS HL-47892NHLBI NIH HHS HL-47902NHLBI NIH HHS U01 HL047892NHLBI NIH HHS U01 HL047902
6 · The paper itself

Abstract

aimsTo examine the incremental usefulness of adding alanine aminotransferase to established risk factors for predicting future diabetes.

methodsThe study population of the Insulin Resistance Atherosclerosis Study included 724 people aged 40-69 years. We excluded people who had excessive alcohol intake or were treated with lipid-lowering agents. Incident diabetes was assessed after a mean follow-up period of 5.2 years.

resultsAlanine aminotransferase had a non-linear relationship with incident diabetes (Wald chi-squared test, P < 0.001; P for linearity = 0.005) independent of demographic variables, family history of diabetes, BMI and fasting glucose; therefore, we used Youden's J statistic to dichotomize alanine aminotransferase [threshold ≥ 0.43 μkat/L ( ≥ 26 IU/l)]. Dichotomized alanine aminotransferase increased the area under the receiver-operating characteristic curve (0.805 vs. 0.823; P = 0.007) of a model that included demographic variables, family history of diabetes, BMI and fasting glucose as independent variables. The net reclassification improvement was 9.6% (95% CI 1.8-17.4; P = 0.016), and the integrated discrimination improvement was 0.031 (95% CI 0.011-0.050; P = 0.002). Dichotomized alanine aminotransferase reclassified a net of 9.6% of individuals more appropriately.

conclusionsAlanine aminotransferase may be useful for classifying individuals who are at risk of future diabetes after accounting for the effect of other risk factors, including family history, adiposity and plasma glucose.

Indexed as

AtherosclerosisInsulin ResistanceAdultAgedAlanine TransaminaseCohort StudiesDiabetes Mellitus, Type 2FastingFemaleGlucose Tolerance TestHumansMaleMiddle AgedObesityPredictive Value of TestsPrognosisAlanine Transaminase

Identifiers

PMID26094705
PMCPMC5075526
OpenAlexW2136213526

What OpenQuestion holds

Textmetadata
LicenceTDM
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.