Evidence map›Paper›PMID 28558716›Full record

ArticleBMC anesthesiology2017

Development and validation of a Score for Preoperative Prediction of Obstructive Sleep Apnea (SPOSA) and its perioperative outcomes.

Christina H Shin, Stephanie D Grabitz, Fanny P Timm, Noomi Mueller, Khushi Chhangani, Karim Ladha, Scott Devine, Tobias Kurth, Matthias Eikermann

Registry-linked trialOpen access · goldAbstract readValidation Study
In one paragraph

Article in BMC anesthesiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03198208 (Effects of Intraoperative Fentanyl Dose on Postoperative Respiratory Complications), which is not on this map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% 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.

NCT03198208 unknown statusnot on this map

Effects of Intraoperative Fentanyl Dose on Postoperative Respiratory Complications

Typeobservational_patient_registrySponsorMassachusetts General HospitalRan2007 to 2018Enrolled183,396ConditionsFentanyl, Opioid Use, Surgery, Respiratory ComplicationArmsFentanyl dose administration
3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Guideline
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  10. The obesity conundrum in sepsis.BMC anesthesiology · 2017
    Article
  11. 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

9 authors at 5 institutions in 3 countries.

Christina H ShinDepartment of Anesthesia, Critical Care, and Pain Medicine, Massachusetts General Hospital, 55 Fruit Street, Boston, Massachusetts, USA.
Stephanie D GrabitzDepartment of Anesthesia, Critical Care, and Pain Medicine, Massachusetts General Hospital, 55 Fruit Street, Boston, Massachusetts, USA.
Fanny P TimmDepartment of Anesthesia, Critical Care, and Pain Medicine, Massachusetts General Hospital, 55 Fruit Street, Boston, Massachusetts, USA.
Noomi MuellerDepartment of Anesthesia, Critical Care, and Pain Medicine, Massachusetts General Hospital, 55 Fruit Street, Boston, Massachusetts, USA.
Khushi ChhanganiDepartment of Anesthesia, Critical Care, and Pain Medicine, Massachusetts General Hospital, 55 Fruit Street, Boston, Massachusetts, USA.
Karim LadhaDepartment of Anesthesia, Toronto General Hospital and University of Toronto, Toronto, Canada.
Scott DevineCenter for Observational and Real-World Effectiveness US Outcomes Research, Merck & Co., Inc, Boston, Massachusetts, USA.
Tobias KurthHarvard Medical School, Boston, Massachusetts, USA.
Matthias EikermannDepartment of Anesthesia, Critical Care, and Pain Medicine, Massachusetts General Hospital, 55 Fruit Street, Boston, Massachusetts, USA. meikermann@partners.org.ORCID 0000-0003-1268-0106
Massachusetts General Hospital · USHarvard University · USBrigham and Women's Hospital · USMerck & Co., Inc., Rahway, NJ, USA (United States) · USUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPostoperative respiratory complications (PRCs) are associated with significant morbidity, mortality, and hospital costs. Obstructive sleep apnea (OSA), often undiagnosed in the surgical population, may be a contributing factor. Thus, we aimed to develop and validate a score for preoperative prediction of OSA (SPOSA) based on data available in electronic medical records preoperatively.

methodsOSA was defined as the occurrence of an OSA diagnostic code preceded by a polysomnography procedure. A priori defined variables were analyzed by multivariable logistic regression analysis to develop our score. Score validity was assessed by investigating the score's ability to predict non-invasive ventilation. We then assessed the effect of high OSA risk, as defined by SPOSA, on PRCs within seven postoperative days and in-hospital mortality.

resultsA total of 108,781 surgical patients at Partners HealthCare hospitals (2007-2014) were studied. Predictors of OSA included BMI >25 kg*m

conclusionSPOSA identifies patients at high risk for OSA using electronic medical record-derived data. High risk of OSA is associated with the occurrence of PRCs.

Indexed as

Risk AssessmentAdultAgedAged, 80 and overBody Mass IndexComorbidityFemaleHospital MortalityHumansMaleMiddle AgedNoninvasive VentilationPneumoniaPolysomnographyPostoperative ComplicationsPreoperative PeriodIn-hospital mortalityOutcomesPerioperative obstructive sleep apneaPostoperative respiratory complicationsPrediction

Identifiers

PMID28558716
PMCPMC5450400
OpenAlexW2620445957

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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.