Evidence map›Paper›PMID 25985172›Full record

ArticleBiomarkers in medicine2015

Association of estrogen measurements in serum and urine of premenopausal women.

Gertraud Maskarinec, Fanchon Beckford, Yukiko Morimoto, Adrian A Franke, Frank Z Stanczyk

Abstract read
In one paragraph

Article in Biomarkers in medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. LC-HRMS of derivatized urinary estrogens and estrogen metabolites in postmenopausal women.Journal of chromatography. B, Analytical technologies in the biomedical and life sciences · 2020
    Article
  8. Review
  9. Article
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

5 authors.

Gertraud Maskarinec1University of Hawaii Cancer Center, 701 Ilalo Street, Honolulu, HI 96813, USA.
Fanchon Beckford1University of Hawaii Cancer Center, 701 Ilalo Street, Honolulu, HI 96813, USA.
Yukiko Morimoto1University of Hawaii Cancer Center, 701 Ilalo Street, Honolulu, HI 96813, USA.
Adrian A Franke1University of Hawaii Cancer Center, 701 Ilalo Street, Honolulu, HI 96813, USA.
Frank Z Stanczyk2University of Southern California, Los Angeles, CA 90095, USA.

Funding

University of Hawaii Cancer Center CCSGP30CA071789 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI GERTRAUD MASKARINEC · 1996 to 2026
$56.2M
SOY EFFECTS ON ESTROGENS AND MAMMOGRAPHIC DENSITIESR01CA080843 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI MASKARINEC, GERTRAUD · 1999 to 2010
$2.9M
NCI NIH HHS P30 CA071789NCI NIH HHS R01 CA080843
6 · The paper itself

Abstract

aimsWe evaluated conjugated and unconjugated urinary estrogen metabolites as surrogate biomarkers for serum levels of unconjugated E1 and E2 in premenopausal women. MATERIALS &

methodsRepeated blood and urine samples were analyzed for estrogens and their metabolites using radioimmunoassays and liquid chromatography/mass spectrometry.

resultsThe strongest correlation (r = 0.39) was observed between serum E1 and urinary E1 and E2. The correlations of urinary E2 (r = 0.35), E1 (r = 0.29), all E2 metabolites (r = 0.30), all E1 metabolites (r = 0.23) and total estrogens (r = 0.26) with serum E2 were only moderate although statistically significant. All correlations were substantially stronger for Whites than Asians.

conclusionUrinary E2 emerged as the best predictor for serum E1 and E2, but the large intra-subject variability in urinary estrogen levels limits its use as a biomarker.

Indexed as

AdultEstrogensFemaleHumansMaleMiddle AgedPremenopauseEstrogensbiomarkerbreast cancer riskcorrelationestrogensethnicitysteroid hormones

Identifiers

PMID25985172
PMCPMC4438779

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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.