Evidence map›Paper›PMID 29300998›Full record

ReviewEndocrinology2018

Identifying the Critical Gaps in Research on Sex Differences in Metabolism Across the Life Span.

Jane E B Reusch, T Rajendra Kumar, Judith G Regensteiner, Philip S Zeitler, Conference Participants

Abstract readReview
In one paragraph

Review in Endocrinology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Are there sex differences in the variability of fasting metabolism?Journal of applied physiology (Bethesda, Md. : 1985) · 2024
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Approaching Sex Differences in Cardiovascular Non-Coding RNA Research.International journal of molecular sciences · 2020
    Review
  15. Article
  16. Sex Chromosomes Are Severely Disrupted in Gastric Cancer Cell Lines.International journal of molecular sciences · 2020
    Article
  17. Review
  18. Article
  19. Article
  20. Review
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.

Jane E B ReuschDepartment of Medicine, University of Colorado School of Medicine, Aurora, Colorado.
T Rajendra KumarDepartment of Obstetrics and Gynecology, University of Colorado School of Medicine, Aurora, Colorado.
Judith G RegensteinerDepartment of Medicine, University of Colorado School of Medicine, Aurora, Colorado.
Philip S ZeitlerDepartment of and Pediatrics, University of Colorado School of Medicine, Aurora, Colorado.
Conference Participants

Funding

PILOT STUDY--SUBSTRATE METABOLISM IN EXTREMELY LOW BIRTH WEIGHT INFANTSP30DK048520 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI DANIEL Holland BESSESEN · 1995 to 2026
$32.6M
Sex Hormones Differentially Regulate Production of Distinct Adipocyte PopulationP50HD073063 · NICHD · UNIVERSITY OF COLORADO DENVER · PI KOHRT, WENDY M · 2012 to 2017
$5.7M
Complications and Comorbidities of Type 1 DiabetesR01HL113029 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI SNELL-BERGEON, JANET KATHLEEN · 2013 to 2016
$2.9M
A Novel Adipocyte Population Arises From Bone Marrow Progenitor CellsR01DK078966 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI KLEMM, DWIGHT J · 2008 to 2016
$2.6M
Integrin signaling promotes production of adipocytes from hematopoietic cellsR01DK109547 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI KLEMM, DWIGHT J · 2016 to 2019
$1.4M
Cardiovascular Mechanisms of Exercise Intolerance in Diabetes and the Role of SexI01CX001532 · VA · VA EASTERN COLORADO HEALTH CARE SYSTEM · PI REUSCH, JANE E · 2017 to 2022
–
CSRD VA I01 CX001532NHLBI NIH HHS R01 HL113029NICHD NIH HHS P50 HD073063NIDDK NIH HHS P30 DK048520NIDDK NIH HHS R01 DK078966NIDDK NIH HHS R01 DK109547
6 · The paper itself

Abstract

The National Institutes of Health (NIH) Office of Research in Women's Health now functions under a mandate calling for the systematic inclusion of both female and male cells, animals, and human subjects in all types of research, so that sex as a biological variable is understood in health and disease. Sex-specific data can improve disease prevention, diagnosis, and treatment as well as reduce inequities. Inclusion of women in research studies has modestly improved over the last 20 years, yet preclinical research is still primarily done using male animal models and male-derived cells, with the result that many conclusions are made based on incomplete and sex-biased data. There are important, yet poorly studied, sex differences in cardiometabolic disease. To begin to address these sex differences, the Center for Women's Health Research at the University of Colorado held its inaugural National Conference, "Sex Differences Across the Lifespan: A Focus on Metabolism," in September 2016 (cwhr@ucdenver.edu). Research to address the important goal of understanding key sex differences in cardiometabolic disease across the life span is lacking. The goal of this article is to discuss the current state of research addressing sex differences in cardiometabolic health across the life span, to outline critical research gaps that must be addressed in response to NIH mandates, and, importantly, to develop strategies to address sex as a biological variable to understand disease mechanisms as well as develop diagnostic and therapeutic modalities.

Indexed as

AgingNeeds AssessmentWomen's HealthAnimalsBiomedical ResearchCardiovascular DiseasesCongresses as TopicCost of IllnessFemaleHumansMaleMetabolomicsNational Institutes of Health (U.S.)PregnancySex CharacteristicsSex Factors

Identifiers

PMID29300998
PMCPMC5761606

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.