Evidence map›Paper›PMID 26836933›Full record

ArticleChest2016

Sex-Specific Prediction Models for Sleep Apnea From the Hispanic Community Health Study/Study of Latinos.

Neomi Shah, David B Hanna, Yanping Teng, Daniela Sotres-Alvarez, Martica Hall, Jose S Loredo, Phyllis Zee, Mimi Kim, H Klar Yaggi, Susan Redline and 1 more

Open access · bronzeAbstract readValidation Study
In one paragraph

Article in Chest, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
2.1field-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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Review
  9. Brazilian Thoracic Association Consensus on Sleep-disordered Breathing.Jornal brasileiro de pneumologia : publicacao oficial da Sociedade Brasileira de Pneumologia e Tisilogia · 2022
    Article
  10. Article
  11. Article
  12. Article
  13. A sleep apnea prediction model developed for African Americans: the Jackson Heart Sleep Study.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2020
    Article
  14. Article
  15. Article
  16. Simplifying the Screening of Obstructive Sleep Apnea With a 2-Item Model, No-Apnea: A Cross-Sectional Study.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2018
    Article
  17. Management of Obstructive Sleep Apnea in Pregnancy.Obstetrics and gynecology clinics of North America · 2018
    Review
  18. Predictors of sleep-disordered breathing in pregnancy.American journal of obstetrics and gynecology · 2018
    Article
  19. Review
  20. Validation of the STOP-Bang questionnaire as a means of screening for obstructive sleep apnea in adults in Brazil.Jornal brasileiro de pneumologia : publicacao oficial da Sociedade Brasileira de Pneumologia e Tisilogia
    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

11 authors at 7 institutions in 1 country.

Neomi ShahAlbert Einstein College of Medicine, Bronx, NY. Electronic address: Neomi.Shah@mssm.edu.
David B HannaAlbert Einstein College of Medicine, Bronx, NY.
Yanping TengUniversity of North Carolina, Chapel Hill, NC.
Daniela Sotres-AlvarezUniversity of North Carolina, Chapel Hill, NC.
Martica HallUniversity of Pittsburgh School of Medicine, Pittsburgh, PA.
Jose S LoredoUniversity of California San Diego, San Diego, CA.
Phyllis ZeeNorthwestern University, Chicago, IL.
Mimi KimAlbert Einstein College of Medicine, Bronx, NY.
H Klar YaggiYale School of Medicine, New Haven, CT.
Susan RedlineHarvard Medical School, Brigham and Woman's Hospital, Boston, MA.
Robert C KaplanAlbert Einstein College of Medicine, Bronx, NY.
Albert Einstein College of Medicine · USUniversity of North Carolina at Chapel Hill · USNorthwestern University · USUniversity of California, San Diego · USUniversity of Pittsburgh · USWoman's Hospital · USYale University · US

Funding

Thalassemia Clinical Research Network, CanadaU01HL065233 · NHLBI · UNIVERSITY HEALTH NETWORK · PI OLIVIERI, NANCY F · 2000 to 2009
$2.6M
GENETIC ARCHITECTURE OF PLASMA T-PA AND PAI-1R01HL065234 · NHLBI · VANDERBILT UNIVERSITY · PI MOORE, JASON H. · 2000 to 2004
$1.7M
Sleep Apnea and ST-Elevation Myocardial Infarction: A Multidisciplinary Translational StudyK23HL125923 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI SHAH, NEOMI A · 2015 to 2017
$547k
Mentoring in Sleep Research and Sleep Interventions in Heart Disease, and StrokeK24HL132093 · NHLBI · YALE UNIVERSITY · PI YAGGI, HENRY KLAR · 2016 to 2020
$336k
HISPANIC COMMUNITY HEALTH STUDY-268065233N01HC065233 · HC · COORDINATING CENTER · PI CHAMBLESS, LLOYD E · 2006 to 2006
–
NHLBI NIH HHS K23 HL125923NHLBI NIH HHS K24 HL132093NHLBI NIH HHS N01 HC065233NHLBI NIH HHS N01 HC065234NHLBI NIH HHS N01 HC065235NHLBI NIH HHS N01 HC065236NHLBI NIH HHS N01 HC065237
6 · The paper itself

Abstract

objectiveWe developed and validated the first-ever sleep apnea (SA) risk calculator in a large population-based cohort of Hispanic/Latino subjects.

methodsCross-sectional data on adults from the Hispanic Community Health Study/Study of Latinos (2008-2011) were analyzed. Subjective and objective sleep measurements were obtained. Clinically significant SA was defined as an apnea-hypopnea index ≥ 15 events per hour. Using logistic regression, four prediction models were created: three sex-specific models (female-only, male-only, and a sex × covariate interaction model to allow differential predictor effects), and one overall model with sex included as a main effect only. Models underwent 10-fold cross-validation and were assessed by using the C statistic. SA and its predictive variables; a total of 17 variables were considered.

resultsA total of 12,158 participants had complete sleep data available; 7,363 (61%) were women. The population-weighted prevalence of SA (apnea-hypopnea index ≥ 15 events per hour) was 6.1% in female subjects and 13.5% in male subjects. Male-only (C statistic, 0.808) and female-only (C statistic, 0.836) prediction models had the same predictor variables (ie, age, BMI, self-reported snoring). The sex-interaction model (C statistic, 0.836) contained sex, age, age × sex, BMI, BMI × sex, and self-reported snoring. The final overall model (C statistic, 0.832) contained age, BMI, snoring, and sex. We developed two websites for our SA risk calculator: one in English (https://www.montefiore.org/sleepapneariskcalc.html) and another in Spanish (http://www.montefiore.org/sleepapneariskcalc-es.html).

conclusionsWe created an internally validated, highly discriminating, well-calibrated, and parsimonious prediction model for SA. Contrary to the study hypothesis, the variables did not have different predictive magnitudes in male and female subjects.

Indexed as

PolysomnographySleep Apnea SyndromesAdultClinical Decision-MakingCohort StudiesCross-Sectional StudiesFemaleHispanic or LatinoHumansMaleModels, StatisticalPrevalenceRisk FactorsSex FactorsUnited Statesclinical decision-makingcommunity healthepidemiology (pulmonary)sex-specific predictionsleep apnea

Identifiers

PMID26836933
PMCPMC4944765
OpenAlexW2281963123

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.