Evidence map›Paper›PMID 23771818›Full record

ArticleObesity surgery2013

Predictive performance of the STOP-Bang score for identifying obstructive sleep apnea in obese patients.

Frances Chung, Yiliang Yang, Pu Liao

Registry-linked trialAbstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in Obesity surgery, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04993651 (Effect of Continuous Positive Airway Pressure on Fetal pH at Time of Scheduled Cesarean Delivery in Morbidly Obese Women), which is not on this map. Cited by 71 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed, 3 pooled it
12.5field-weighted citation impact, top 1% 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.

NCT04993651 nacompletednot on this mapstarted 2021, after this paper: background citation

Effect of Continuous Positive Airway Pressure on Fetal pH at Time of Scheduled Cesarean Delivery in Morbidly Obese Women

TypeinterventionalSponsorEastern Virginia Medical SchoolRan2021 to 2023Enrolled66ConditionsMorbid Obesity, Cesarean Delivery Affecting FetusArmsCPAP
3 · Its place in the literature

Who cites it

71 citing papers in PubMed, 3 syntheses or guidelines pooled it, 227 citations in OpenAlex.

  1. Guideline
  2. Guideline
  3. Pooled it
  4. Trial
  5. Development, Validation, and Assessment of an Ischemic Stroke or Transient Ischemic Attack-Specific Prediction Tool for Obstructive Sleep Apnea.Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association · 2017
    Trial
  6. Obstructive Sleep Apnea and Circulating Potassium Channel Levels.Journal of the American Heart Association · 2016
    Trial
  7. Review
  8. Observational
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Analysis of Possible Predictors of Moderate and Severe Obstructive Sleep Apnea in Obese Patients.Indian journal of otolaryngology and head and neck surgery : official publication of the Association of Otolaryngologists of India · 2024
    Article
  16. Perioperative Care for Bariatric Surgery.Diagnostics (Basel, Switzerland) · 2024
    Review
  17. Review
  18. Comparative Study of Subjective and Objective Analysis in Diagnosis of Obstructive Sleep Apnea.Indian journal of otolaryngology and head and neck surgery : official publication of the Association of Otolaryngologists of India · 2023
    Article
  19. Article
  20. Article

11 more citing papers are in PubMed but not listed here.

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

3 authors at 2 institutions in 1 country.

Frances ChungDepartment of Anesthesia, Toronto Western Hospital, University Health Network, University of Toronto, MCL 2-405, 399 Bathurst Street, Room 405, 2McL wing, Toronto, ON, M5T 2S8, Canada, Frances.Chung@uhn.ca.
Yiliang Yang
Pu Liao
University of Toronto · CAToronto Western Hospital · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe loud Snoring, Tiredness, Observed apnea, high blood Pressure (STOP)-Body mass index (BMI), Age, Neck circumference, and gender (Bang) questionnaire is a validated screening tool for identifying obstructive sleep apnea in surgical patients. However, the predictive performance of the STOP-Bang score in obese and morbidly obese patients remains unknown.

methodsPreoperative patients were approached for consent and were screened for obstructive sleep apnea (OSA) by the STOP questionnaire. Information concerning Bang was collected. Laboratory or portable polysomnography were performed in 667 patients. Patients with BMI of ≥ 30 kg/m(2) were defined as obese patients and ≥ 35 kg/m(2) as morbidly obese. The predictive parameters (sensitivity, specificity, and positive and negative predictive values) for the STOP-Bang score in obese and morbidly obese patients were analyzed.

resultsIn 310 obese patients, a STOP-Bang score of 3 has high sensitivity of 90 % and high positive predictive value of 85 % for identifying obese patient with OSA. A STOP-Bang score of 4 had high sensitivity (87.5 %) and high negative predictive value (90.5 %) for identifying severe OSA, whereas a STOP-Bang score of 6 had high specificity (85.2 %) to identify severe OSA. The diagnostic odds ratio of a STOP-Bang score of 4 was 4.9 for identifying severe OSA. In 140 morbidly obese patients, a STOP-Bang score of 4 had high sensitivity (89.5 %) for identifying severe OSA.

conclusionsThe STOP-Bang score was validated in the obese and morbidly obese surgical patients. For identifying severe OSA, a STOP-Bang score of 4 has high sensitivity of 88 %. For confirming severe OSA, a score of 6 is more specific.

Indexed as

Age FactorsBody Mass IndexCanadaFatigueFemaleHumansHypertensionMaleMass ScreeningMiddle AgedNeckObesity, MorbidPolysomnographyPredictive Value of TestsSeverity of Illness IndexSex Factors

Identifiers

PMID23771818
OpenAlexW2100987784

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.