Evidence map›Paper›PMID 25527664›Full record

ArticleThe Journal of nutrition2015

Derivation and validation of homocysteine score in u.s. Men and women.

Seungyoun Jung, Youjin Je, Edward L Giovannucci, Bernard Rosner, Shuji Ogino, Eunyoung Cho

Open access · bronzeAbstract readValidation Study
In one paragraph

Article in The Journal of nutrition, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.0field-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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. [Rate and characteristics of H-type hypertension in Chinese hypertensive population and comparison with American population].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2022
    Observational
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  6. Review
  7. Article
  8. Article
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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

6 authors at 3 institutions in 3 countries.

Seungyoun JungChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.
Youjin JeDepartment of Food and Nutrition, Kyung Hee University, Seoul, South Korea.
Edward L GiovannucciDepartments of Nutrition Epidemiology, and.
Bernard RosnerChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA Biostatistics, Harvard School of Public Health, Boston, MA.
Shuji OginoEpidemiology, and Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA; and.
Eunyoung ChoChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA Department of Dermatology, The Warren Alpert Medical School of Brown University, Providence, RI eunyoung.cho@channing.harvard.edu.
Brigham and Women's Hospital · USHarvard University · USKyung Hee University · KR

Funding

Statistical MethodsP01CA087969 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI TWOROGER, SHELLEY S · 2000 to 2019
$77.8M
Validity of Diet and Activity Measures in WomenP01CA055075 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI WILLETT, WALTER C. · 1991 to 2009
$41.8M
Cancer Epidemiology Cohort in Male Health ProfessionalsUM1CA167552 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI WILLETT, WALTER C. · 2012 to 2016
$11.5M
Epigenetic Events and Colorectal Cancer EpidemiologyR01CA151993 · NCI · DANA-FARBER CANCER INST · PI OGINO, SHUJI · 2010 to 2014
$2.6M
Dietary Methyl Score, Genomic DNA Methylation and Colorectal CancerR01CA136950 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI CHO, EUNYOUNG · 2009 to 2012
$1.3M
NCI NIH HHS P01 CA055075NCI NIH HHS P01 CA087969NCI NIH HHS P01 CA55075NCI NIH HHS P01 CA87969NCI NIH HHS R01 CA136950NCI NIH HHS R01 CA151993NCI NIH HHS UM1 CA167552
6 · The paper itself

Abstract

backgroundOne-carbon metabolism, which is crucial in DNA synthesis and genomic stability, is an interrelated network of biochemical reactions involved in several dietary and lifestyle factors. The development of the homocysteine score using these factors may be useful to reflect the status of one-carbon metabolism in large epidemiologic studies without biologic samples to measure homocysteine directly.

objectiveThe aim of this study was to develop an homocysteine score that reflects one-carbon metabolism better than individual dietary or lifestyle factors.

methodsWe divided 2023 participants with measured plasma total homocysteine data in the Nurses' Health Study and the Health Professionals Follow-Up Study into training (n = 1619) and testing (n = 404) subsets. Using multivariable linear regression, we selected lifestyle determinants of plasma homocysteine in the training set and derived the homocysteine score weighted by the β coefficient for each predictor. The validation of the homocysteine score was assessed using the plasma homocysteine in the independent samples of the training set.

resultsIn the training set, smoking, multivitamin use, and caffeine, alcohol, and dietary and supplemental folate intake were significant independent determinants of plasma homocysteine in multivariable linear regression (P ≤ 0.01) and were included in the derivation of the homocysteine score. The Pearson correlation of the homocysteine score with plasma homocysteine was 0.30 in the testing subset (P < 0.001). The homocysteine score was positively associated with the plasma homocysteine concentration in the testing subset and in an independent population of women; the mean difference of plasma homocysteine concentration between the extreme quintiles of homocysteine score ranged from 0.83 μmol/L to 1.52 μmol/L. Population misclassification either from the lowest quintile of plasma homocysteine into the highest quintile of the homocysteine score or from the highest quintile of plasma homocysteine into the lowest quintile of the homocysteine score was ≤12%.

conclusionThese data indicate that the homocysteine score may be used with relatively inexpensive and simple questionnaires to rank an individual's one-carbon metabolism status when homocysteine data are not available.

Indexed as

AdultAgedAlcohol DrinkingBiomarkersCaffeineCarbonDietDietary SupplementsFastingFemaleFolic AcidHomocysteineHumansLife StyleMaleMiddle AgedBiomarkersCaffeineCarbonFolic AcidHomocysteineVitaminsdeterminantsdietepidemiologyhomocysteineone-carbon metabolismprediction

Identifiers

PMID25527664
PMCPMC4264025
OpenAlexW2018628567

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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.