Evidence map›Paper›PMID 25378672›Full record

ArticleNeurology2014

Adiponectin and leptin levels in migraineurs in the Atherosclerosis Risk in Communities Study.

Jennifer L Dearborn, Andrea L C Schneider, Rebecca F Gottesman, Tobias Kurth, James S Pankow, David J Couper, Kathryn M Rose, Michelle A Williams, B Lee Peterlin

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Neurology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 3 pooled it
2.7field-weighted citation impact, top 11% 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

11 citing papers in PubMed, 3 syntheses or guidelines pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Review
  5. Article
  6. Review
  7. Serological Biomarkers of Chronic Migraine.Current pain and headache reports · 2023
    Review
  8. Review
  9. Review
  10. Is Migraine Primarily a Metaboloendocrine Disorder?Current pain and headache reports · 2018
    Review
  11. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 6 institutions in 2 countries.

Jennifer L DearbornFrom the Department of Neurology (J.L.D.), Yale University School of Medicine, New Haven, CT; the Department of Epidemiology (A.L.C.S.), Johns Hopkins University School of Public Health; the Department of Neurology (R.F.G., B.L.P.), Johns Hopkins University School of Medicine, Baltimore, MD; Team Neuroepidemiology (T.K.), INSERM Research Center for Epidemiology and Biostatistics (U897), Bordeaux; France College of Health Sciences (T.K.), University of Bordeaux; the School of Public Health, Division of Epidemiology and Community Health (J.S.P.), University of Minnesota, Minneapolis; the Departments of Biostatistics (D.J.C.) and Epidemiology (K.M.R.), University of North Carolina at Chapel Hill; Social and Scientific Systems, Inc. (K.M.R.), Durham, NC; and the Department of Epidemiology (M.A.W.), Harvard School of Public Health, Boston, MA.
Andrea L C SchneiderFrom the Department of Neurology (J.L.D.), Yale University School of Medicine, New Haven, CT; the Department of Epidemiology (A.L.C.S.), Johns Hopkins University School of Public Health; the Department of Neurology (R.F.G., B.L.P.), Johns Hopkins University School of Medicine, Baltimore, MD; Team Neuroepidemiology (T.K.), INSERM Research Center for Epidemiology and Biostatistics (U897), Bordeaux; France College of Health Sciences (T.K.), University of Bordeaux; the School of Public Health, Division of Epidemiology and Community Health (J.S.P.), University of Minnesota, Minneapolis; the Departments of Biostatistics (D.J.C.) and Epidemiology (K.M.R.), University of North Carolina at Chapel Hill; Social and Scientific Systems, Inc. (K.M.R.), Durham, NC; and the Department of Epidemiology (M.A.W.), Harvard School of Public Health, Boston, MA.
Rebecca F GottesmanFrom the Department of Neurology (J.L.D.), Yale University School of Medicine, New Haven, CT; the Department of Epidemiology (A.L.C.S.), Johns Hopkins University School of Public Health; the Department of Neurology (R.F.G., B.L.P.), Johns Hopkins University School of Medicine, Baltimore, MD; Team Neuroepidemiology (T.K.), INSERM Research Center for Epidemiology and Biostatistics (U897), Bordeaux; France College of Health Sciences (T.K.), University of Bordeaux; the School of Public Health, Division of Epidemiology and Community Health (J.S.P.), University of Minnesota, Minneapolis; the Departments of Biostatistics (D.J.C.) and Epidemiology (K.M.R.), University of North Carolina at Chapel Hill; Social and Scientific Systems, Inc. (K.M.R.), Durham, NC; and the Department of Epidemiology (M.A.W.), Harvard School of Public Health, Boston, MA.
Tobias KurthFrom the Department of Neurology (J.L.D.), Yale University School of Medicine, New Haven, CT; the Department of Epidemiology (A.L.C.S.), Johns Hopkins University School of Public Health; the Department of Neurology (R.F.G., B.L.P.), Johns Hopkins University School of Medicine, Baltimore, MD; Team Neuroepidemiology (T.K.), INSERM Research Center for Epidemiology and Biostatistics (U897), Bordeaux; France College of Health Sciences (T.K.), University of Bordeaux; the School of Public Health, Division of Epidemiology and Community Health (J.S.P.), University of Minnesota, Minneapolis; the Departments of Biostatistics (D.J.C.) and Epidemiology (K.M.R.), University of North Carolina at Chapel Hill; Social and Scientific Systems, Inc. (K.M.R.), Durham, NC; and the Department of Epidemiology (M.A.W.), Harvard School of Public Health, Boston, MA.
James S PankowFrom the Department of Neurology (J.L.D.), Yale University School of Medicine, New Haven, CT; the Department of Epidemiology (A.L.C.S.), Johns Hopkins University School of Public Health; the Department of Neurology (R.F.G., B.L.P.), Johns Hopkins University School of Medicine, Baltimore, MD; Team Neuroepidemiology (T.K.), INSERM Research Center for Epidemiology and Biostatistics (U897), Bordeaux; France College of Health Sciences (T.K.), University of Bordeaux; the School of Public Health, Division of Epidemiology and Community Health (J.S.P.), University of Minnesota, Minneapolis; the Departments of Biostatistics (D.J.C.) and Epidemiology (K.M.R.), University of North Carolina at Chapel Hill; Social and Scientific Systems, Inc. (K.M.R.), Durham, NC; and the Department of Epidemiology (M.A.W.), Harvard School of Public Health, Boston, MA.
David J CouperFrom the Department of Neurology (J.L.D.), Yale University School of Medicine, New Haven, CT; the Department of Epidemiology (A.L.C.S.), Johns Hopkins University School of Public Health; the Department of Neurology (R.F.G., B.L.P.), Johns Hopkins University School of Medicine, Baltimore, MD; Team Neuroepidemiology (T.K.), INSERM Research Center for Epidemiology and Biostatistics (U897), Bordeaux; France College of Health Sciences (T.K.), University of Bordeaux; the School of Public Health, Division of Epidemiology and Community Health (J.S.P.), University of Minnesota, Minneapolis; the Departments of Biostatistics (D.J.C.) and Epidemiology (K.M.R.), University of North Carolina at Chapel Hill; Social and Scientific Systems, Inc. (K.M.R.), Durham, NC; and the Department of Epidemiology (M.A.W.), Harvard School of Public Health, Boston, MA.
Kathryn M RoseFrom the Department of Neurology (J.L.D.), Yale University School of Medicine, New Haven, CT; the Department of Epidemiology (A.L.C.S.), Johns Hopkins University School of Public Health; the Department of Neurology (R.F.G., B.L.P.), Johns Hopkins University School of Medicine, Baltimore, MD; Team Neuroepidemiology (T.K.), INSERM Research Center for Epidemiology and Biostatistics (U897), Bordeaux; France College of Health Sciences (T.K.), University of Bordeaux; the School of Public Health, Division of Epidemiology and Community Health (J.S.P.), University of Minnesota, Minneapolis; the Departments of Biostatistics (D.J.C.) and Epidemiology (K.M.R.), University of North Carolina at Chapel Hill; Social and Scientific Systems, Inc. (K.M.R.), Durham, NC; and the Department of Epidemiology (M.A.W.), Harvard School of Public Health, Boston, MA.
Michelle A WilliamsFrom the Department of Neurology (J.L.D.), Yale University School of Medicine, New Haven, CT; the Department of Epidemiology (A.L.C.S.), Johns Hopkins University School of Public Health; the Department of Neurology (R.F.G., B.L.P.), Johns Hopkins University School of Medicine, Baltimore, MD; Team Neuroepidemiology (T.K.), INSERM Research Center for Epidemiology and Biostatistics (U897), Bordeaux; France College of Health Sciences (T.K.), University of Bordeaux; the School of Public Health, Division of Epidemiology and Community Health (J.S.P.), University of Minnesota, Minneapolis; the Departments of Biostatistics (D.J.C.) and Epidemiology (K.M.R.), University of North Carolina at Chapel Hill; Social and Scientific Systems, Inc. (K.M.R.), Durham, NC; and the Department of Epidemiology (M.A.W.), Harvard School of Public Health, Boston, MA.
B Lee PeterlinFrom the Department of Neurology (J.L.D.), Yale University School of Medicine, New Haven, CT; the Department of Epidemiology (A.L.C.S.), Johns Hopkins University School of Public Health; the Department of Neurology (R.F.G., B.L.P.), Johns Hopkins University School of Medicine, Baltimore, MD; Team Neuroepidemiology (T.K.), INSERM Research Center for Epidemiology and Biostatistics (U897), Bordeaux; France College of Health Sciences (T.K.), University of Bordeaux; the School of Public Health, Division of Epidemiology and Community Health (J.S.P.), University of Minnesota, Minneapolis; the Departments of Biostatistics (D.J.C.) and Epidemiology (K.M.R.), University of North Carolina at Chapel Hill; Social and Scientific Systems, Inc. (K.M.R.), Durham, NC; and the Department of Epidemiology (M.A.W.), Harvard School of Public Health, Boston, MA. lpeterlin@jhmi.edu.
Social and Scientific Systems (United States) · USYale University · USInserm · FRJohns Hopkins University · USUniversité de Bordeaux · FRUniversity of North Carolina at Chapel Hill · US

Funding

INFLAMMATORY PRECURSORS OF TYPE 2 DIABETESR01DK056918 · NIDDK · UNIVERSITY OF NORTH CAROLINA CHAPEL HILL · PI PANKOW, JAMES S · 2000 to 2008
$2.6M
Impact and Mechansims of Migraine Comorbidites on Migraine Onset and ProgressionK23NS078345 · NINDS · JOHNS HOPKINS UNIVERSITY · PI PETERLIN, BARBARA LEE · 2012 to 2016
$888k
NIDDK NIH HHS R01-DK56918NINDS NIH HHS K23 NS078345PHS HHS HHSN268201100005CPHS HHS HHSN268201100006CPHS HHS HHSN268201100007CPHS HHS HHSN268201100008CPHS HHS HHSN268201100009CPHS HHS HHSN268201100010CPHS HHS HHSN268201100011CPHS HHS HHSN268201100012C
6 · The paper itself

Abstract

objectiveTo evaluate adiponectin and leptin levels in older men and women with migraine.

methodsFasting total and high molecular weight (HMW) adiponectin and leptin levels were evaluated in a case-cohort study of nondiabetic older migraine and nonmigraine control participants from the ongoing, longitudinal, general population, Atherosclerosis Risk in Communities Study at visit 1 (1987-1989). A standardized headache questionnaire was completed at visit 3 (1993-1995). Logistic regression models adjusted for age, sex, race, center, body mass index, and fasting glucose were used to evaluate the association of each adipocytokine with migraine.

resultsOf the 981 participants, the mean age at baseline was 52.8 years (SE 0.3); 131 fulfilled migraine criteria. Crude, mean total adiponectin levels were greater in men and women with migraine (8.1 µg/mL, SE 0.5) as compared to those without migraine (7.0 µg/mL, SE 0.2) (p = 0.031). After adjustments, the odds of migraine were increased by 88% with each SD increase in total adiponectin in men (odds ratio [OR] 1.86; 95% confidence interval [CI] 1.15, 3.01; p = 0.011), but not in women (OR 1.05; 95% CI 0.80, 1.37; p = 0.728; p interaction = 0.029). Similar results were demonstrated for HMW adiponectin. Crude and adjusted leptin levels were not associated with migraine.

conclusionsAlthough crude, total adiponectin levels were higher in older men and women with migraine than controls, after adjustments, the prevalence of migraine was significantly associated with total adiponectin only in older men, suggesting the association may be confounded or absent in older women. Leptin was not associated with migraine in older men or women.

Indexed as

AdiponectinAtherosclerosisBlood Chemical AnalysisCase-Control StudiesFemaleHumansLeptinLogistic ModelsLongitudinal StudiesMaleMiddle AgedMigraine DisordersOdds RatioPrevalenceProspective StudiesRiskAdiponectinADIPOQ protein, humanLeptin

Identifiers

PMID25378672
PMCPMC4277678
OpenAlexW2073808473

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.