Evidence map›Paper›PMID 31451999›Full record

ArticleJournal of medical systems2019

Existing Predictive Models for Postoperative Pulmonary Complications Perform Poorly in a Head and Neck Surgery Population.

C Burton Wood, Justin R Shinn, Andrew B Rees, Priyesh N Patel, Robert E Freundlich, Derek K Smith, Matthew D McEvoy, Sarah L Rohde

Open access · greenAbstract read
In one paragraph

Article in Journal of medical systems, 2019. 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
0.9field-weighted citation impact, top 23% 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, 13 citations in OpenAlex.

  1. Article
  2. Article
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  4. Observational
  5. Article
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  8. Optimizing classical risk scores to predict complications in head and neck surgery: a new approach.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2021
    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

8 authors at 2 institutions in 1 country.

C Burton WoodDepartment of Otolaryngology-Head and Neck Surgery, Vanderbilt University Medical Center, 1215 21st Avenue South, Nashville, TN, USA. burton.wood@vumc.org.
Justin R ShinnDepartment of Otolaryngology-Head and Neck Surgery, Vanderbilt University Medical Center, 1215 21st Avenue South, Nashville, TN, USA.
Andrew B ReesVanderbilt University School of Medicine, Nashville, TN, USA.
Priyesh N PatelDepartment of Otolaryngology-Head and Neck Surgery, Vanderbilt University Medical Center, 1215 21st Avenue South, Nashville, TN, USA.
Robert E FreundlichDepartment of Anesthesiology, Vanderbilt University Medical Center, 1215 21st Avenue South, Nashville, TN, USA.
Derek K SmithDepartment of Biomedical Informatics, Vanderbilt University Medical Center, 1215 21st Avenue South, Nashville, TN, USA.
Matthew D McEvoyDepartment of Anesthesiology, Vanderbilt University Medical Center, 1215 21st Avenue South, Nashville, TN, USA.
Sarah L RohdeDepartment of Otolaryngology-Head and Neck Surgery, Vanderbilt University Medical Center, 1215 21st Avenue South, Nashville, TN, USA.
Vanderbilt University Medical Center · USVanderbilt University · US

Funding

Institutional Career Development CoreKL2TR002245 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Julie A. Bastarache · 2017 to 2026
$9.3M
NCATS NIH HHS KL2 TR002245
6 · The paper itself

Abstract

Postoperative pulmonary complications (PPCs) are common following major surgical procedures. Risk stratification tools have been developed to identify patients at risk for PPCs. While otolaryngology cases were included in the development of common predictive tools, they comprised small percentages in each tool. It is unclear how these tools perform in patients undergoing major head and neck surgery with free flap reconstruction. This retrospective review studied all free flap reconstructions in head and neck surgery over a 12-year period at a single institution in the southeastern US. Baseline demographic and medical information were included for each case. All cases were reviewed for development of major PPCs, including pneumonia and respiratory failure. The cohort underwent risk stratification using the ARISCAT and Gupta pulmonary risk indices. Performance of these predictive models for head and neck surgery was determined through receiver-operator curve comparison. 794 patients were identified with a median age of 62 years (IQR 41-83). Sixty-five percent were male. Forty-three (5.4%) developed pneumonia, 23 patients developed respiratory failure (2.9%), and 38 patients developed both (4.8%), resulting in a total PPC proportion of 13.1% (n = 104). Both ARISCAT and Gupta pulmonary risk indices demonstrated low discrimination to predict PPCs in head and neck free flap reconstruction, with areas under the curve of 0.60 and 0.65, respectively. Two major indices for prediction of postoperative pulmonary complications do not accurately identify risk in patients undergoing major head and neck surgery. Further studies are needed to develop predictive tools for PPCs in this high-risk population.

Indexed as

AdultAgedAged, 80 and overComorbidityFemaleHead and Neck NeoplasmsHumansLung DiseasesMaleMiddle AgedPostoperative ComplicationsPredictive Value of TestsRetrospective StudiesRisk AssessmentSocioeconomic FactorsSurgical FlapsMicrovascular free flap reconstructionPost-operative complicationsPredictive algorithmsRisk stratification

Identifiers

PMID31451999
PMCPMC6800103
OpenAlexW2970535971

What OpenQuestion holds

Textmetadata
LicenceTDM
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.