Evidence map›Paper›PMID 36183784›Full record

ReviewChest2023

Sex and Gender in Lung Diseases and Sleep Disorders: A State-of-the-Art Review: Part 2.

Amik Sodhi, Katherine Cox-Flaherty, Meredith Kendall Greer, Tasnim I Lat, Yuqing Gao, Deepika Polineni, Margaret A Pisani, Ghada Bourjeily, Marilyn K Glassberg, Carolyn D'Ambrosio

Open access · greenAbstract readReview
In one paragraph

Review in Chest, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

8 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Sex differences in US military personnel with insomnia, obstructive sleep apnea, or comorbid insomnia and obstructive sleep apnea.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2024
    Article
  8. 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

10 authors at 7 institutions in 1 country.

Amik SodhiDivision of Allergy, Pulmonary and Critical Care Medicine, University of Wisconsin, Madison, WI.
Katherine Cox-FlahertyDivision of Pulmonary, Critical Care and Sleep Medicine, Brown University, Providence, RI.
Meredith Kendall GreerDivision of Pulmonary, Critical Care and Sleep Medicine, Emory University School of Medicine, Atlanta, GA.
Tasnim I LatDivision of Pulmonary, Critical Care and Sleep Medicine, Baylor Scott & White Health, Temple, TX.
Yuqing GaoDivision of Pulmonary, Critical Care and Sleep Medicine, University of Arizona College of Medicine Phoenix, Phoenix, AZ.
Deepika PolineniDivision of Pulmonary, Critical Care and Sleep Medicine, Washington University at St. Louis, St. Louis, MO.
Margaret A PisaniDivision of Pulmonary, Critical Care and Sleep Medicine, Yale University School of Medicine, New Haven, CT.
Ghada BourjeilyDivision of Pulmonary, Critical Care and Sleep Medicine, Brown University, Providence, RI.
Marilyn K GlassbergDivision of Pulmonary, Critical Care and Sleep Medicine, University of Arizona College of Medicine Phoenix, Phoenix, AZ.
Carolyn D'AmbrosioDivision of Pulmonary, Critical Care and Sleep Medicine, Yale University School of Medicine, New Haven, CT. Electronic address: carolyn.dambrosio@yale.edu.
Brown University · USUniversity of Phoenix · USYale University · USBaylor Scott & White Medical Center - Temple · USEmory University · USUniversity of Wisconsin–Madison · USWashington University in St. Louis · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is now ample evidence that differences in sex and gender contribute to the incidence, susceptibility, presentation, diagnosis, and clinical course of many lung diseases. Some conditions are more prevalent in women, such as pulmonary arterial hypertension and sarcoidosis. Some life stages-such as pregnancy-are unique to women and can affect the onset and course of lung disease. Clinical presentation may differ as well, such as the higher number of exacerbations experienced by women with cystic fibrosis (CF), more fatigue in women with sarcoidosis, and more difficulty in achieving smoking cessation. Outcomes such as mortality may be different as well, as indicated by the higher mortality in women with CF. In addition, response to therapy and medication safety may also differ by sex, and yet, pharmacogenomic factors are often not adequately addressed in clinical trials. Various aspects of lung/sleep biology and pathobiology are impacted by female sex and female reproductive transitions. Differential gene expression or organ development can be impacted by these biological differences. Understanding these differences is the first step in moving toward precision medicine for all patients. This article is the second part of a state-of-the-art review of specific effects of sex and gender focused on epidemiology, disease presentation, risk factors, and management of selected lung diseases. We review the more recent literature and focus on guidelines incorporating sex and gender differences in pulmonary hypertension, CF and non-CF bronchiectasis, sarcoidosis, restless legs syndrome and insomnia, and critical illness. We also provide a summary of the effects of pregnancy on lung diseases and discuss the impact of sex and gender on tobacco use and treatment of nicotine use disorder.

Indexed as

BronchiectasisCystic FibrosisSarcoidosisSleep Wake DisordersFemaleHumansLungMalePregnancycystic fibrosisgendernonbreathing sleep disorderspregnancypulmonary hypertensionsarcoidosissexsmoking cessation

Identifiers

PMID36183784
PMCPMC10083131
OpenAlexW4298008971

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.