Evidence map›Paper›PMID 30502745›Full record

ArticleMaturitas2019

Hormone variability and hot flash experience: Results from the midlife women's health study.

Catheryne Chiang, Lisa Gallicchio, Howard Zacur, Sue Miller, Jodi A Flaws, Rebecca L Smith

Abstract read
In one paragraph

Article in Maturitas, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.8field-weighted citation impact, top 13% 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, 23 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Vasomotor symptoms of menopause, autonomic dysfunction, and cardiovascular disease.American journal of physiology. Heart and circulatory physiology · 2022
    Review
  8. Review
  9. Article
  10. Article
  11. 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

6 authors at 3 institutions in 1 country.

Catheryne ChiangDepartment of Comparative Biosciences, University of Illinois College of Veterinary Medicine, 2001 S. Lincoln Ave, Urbana, IL, USA.
Lisa GallicchioEpidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, 9000, Rockville Pike, Bethesda, MD, USA.
Howard ZacurDepartment of Gynecology and Obstetrics, Johns Hopkins University School of Medicine, 733 N Broadway, Baltimore, MD, USA.
Sue MillerDepartment of Gynecology and Obstetrics, Johns Hopkins University School of Medicine, 733 N Broadway, Baltimore, MD, USA.
Jodi A FlawsDepartment of Comparative Biosciences, University of Illinois College of Veterinary Medicine, 2001 S. Lincoln Ave, Urbana, IL, USA.
Rebecca L SmithDepartment of Pathobiology, University of Illinois College of Veterinary Medicine, 2001 S. Lincoln Ave, Urbana, IL, USA. Electronic address: rlsdvm@illinois.edu.
University of Illinois Urbana-Champaign · USJohns Hopkins University · USNational Cancer Institute · US

Funding

Research Training Program in Toxicology and Environmental HealthT32ES007326 · NIEHS · UNIVERSITY OF ILLINOIS URBANA-CHAMPAIGN · PI Jodi A. Flaws · 2000 to 2026
$8.7M
Phthalate exposure and hot flashes in midlife womenR01ES026956 · NIEHS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI FLAWS, JODI A. · 2017 to 2020
$1.7M
NIEHS NIH HHS R01 ES026956NIEHS NIH HHS T32 ES007326
6 · The paper itself

Abstract

objectiveHot flashes are believed to be related to hormonal changes. However, the relationship between hormonal fluctuations and hot flashes has not been studied. The objective of this study is to determine hormone measurement summaries that best explain the incidence of hot flashes in midlife women. STUDY

designIn a cohort study of 798 midlife women over 1-7 years, women provided 4 weekly blood samples annually and completed a survey detailing life history, ongoing behaviors, and menopausal symptoms. Estradiol, progesterone, and testosterone were measured in all serum samples. Annual summary variables of each hormone were median, mean, maximum, minimum, variance, and range. The association of these values with hot flashes was assessed using multivariable logistic regression and Bayesian network analysis, controlling for smoking history and menopausal status.

main outcome measuresHot flash incidence, severity, and frequency.

resultsFor most outcomes, the best-fit model included progesterone variability; increased progesterone variance or range was correlated with decreased hot flash frequency (OR = 0.82, 95% CI = 0.74-0.91) and severity (OR = 0.82, 95% CI = 0.77-0.88). In the Bayesian network model, the maximum estradiol value was negatively correlated with many outcomes (OR for hot flashes = 0.68). Relationships between progesterone variability, maximum estradiol level, maximum progesterone level, and hot flashes indicate that the effects of progesterone variance on hot flash outcomes are likely mediated through progesterone's relationship with maximum estradiol level.

conclusionsVariability of progesterone, as opposed to mean values, should be used as an indicator of risk of hot flashes in midlife women.

Indexed as

Cohort StudiesEstradiolFemaleHot FlashesHumansIncidenceLongitudinal StudiesMenopauseMiddle AgedProgesteroneSurveys and QuestionnairesTestosteroneUnited StatesWomen's HealthEstradiolProgesteroneTestosteroneEstradiolHot flashesMenopauseProgesterone

Identifiers

PMID30502745
PMCPMC6289582
OpenAlexW2897215749

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.