Evidence map›Paper›PMID 31845720›Full record

ArticleAmerican journal of epidemiology2020

Invited Commentary: Women's Reproductive Life Spans and Subsequent Inflammatory Profiles-How to Best Measure Reproductive Life Span and the Need for Baseline Assessments.

Karen C Schliep

Open access · greenAbstract readComment
In one paragraph

Article in American journal of epidemiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 52% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

Karen C Schliep

Funding

Hypertensive Disorders of Pregnancy and Subsequent Risk of Vascular Dementia, Alzheimer's Disease, or Related Dementia: A Retrospective Cohort Study Taking into Account Mid-Life Mediating Factors.K01AG058781 · NIA · UNIVERSITY OF UTAH · PI SCHLIEP, KAREN C. · 2020 to 2024
$610k
NIA NIH HHS K01 AG058781NICHD NIH HHS L50 HD099868
6 · The paper itself

Abstract

Inflammatory processes are known to drive the pathogenesis of several chronic diseases, including cardiovascular disease and Alzheimer disease, as well as all-cause mortality. Emerging research indicates that women who have a longer reproductive life span-roughly determined as the period from menarche to menopause or lifetime number of ovulatory cycles after accounting for anovulatory time spans-are at lower risk for these inflammation-related chronic diseases. The paradox is that ovulation is known to induce acute inflammation. Given the limited research assessing the relationship between reproductive life span and later inflammatory profiles, Huang et al. (Am J Epidemiol. 2020;189(7):660-670) set out to investigate this relationship within 2 of the most robust longitudinal cohort studies of women, the Nurses' Health studies. They found that after adjustment for other inflammation-related factors, including adiposity, exercise, and diet, lifetime ovulatory years was associated with lower C-reactive protein levels in both premenopausal and postmenopausal women. Huang et al. call attention to several challenges in research on women's reproductive life spans, including how to appropriately capture lifetime ovulatory cycles and the need for repeated measurements of inflammatory biomarkers across the life course if we wish to understand pathogenic processes linking reproductive factors to subsequent chronic disease.

Indexed as

LongevityMenopauseBiomarkersFemaleHumansLongitudinal StudiesMenarcheBiomarkerscardiometabolic diseaseC-reactive proteininflammationlifetime ovulatory cyclesreproductive life span

Identifiers

PMID31845720
PMCPMC7608505
OpenAlexW2995814533

What OpenQuestion holds

Textmetadata
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.