Evidence map›Paper›PMID 38856932›Full record

ArticleLung2024

Characterizing the Racial Discrepancy in Hypoxemia Detection in Venovenous Extracorporeal Membrane Oxygenation: An Extracorporeal Life Support Organization Registry Analysis.

Andrew Kalra, Christopher Wilcox, Sari D Holmes, Joseph E Tonna, In Seok Jeong, Peter Rycus, Marc M Anders, Akram M Zaaqoq, Roberto Lorusso, Daniel Brodie and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Lung, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Andrew KalraDivision of Cardiac Surgery, Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Christopher WilcoxDepartment of Critical Care, Mercy Hospital of Buffalo, Buffalo, NY, USA.
Sari D HolmesDivision of Cardiac Surgery, Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Joseph E TonnaDivision of Cardiothoracic Surgery, Department of Surgery and Department of Emergency Medicine, University of Utah Health, Salt Lake City, UT, 84132, USA.
In Seok JeongDepartment of Thoracic and Cardiovascular Surgery, Chonnam National University Medical School, Chonnam National University Hospital, Gwangju, South Korea.
Peter RycusExtracorporeal Life Support Organization, Ann Arbor, MI, USA.
Marc M AndersDivision of Critical Care Medicine, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA.
Akram M ZaaqoqDepartment of Anesthesiology, Division of Critical Care, University of Virginia, Charlottesville, VA, USA.
Roberto LorussoCardiothoracic Surgery Department, Heart & Vascular Centre, Maastricht University Medical Centre (MUMC), and Cardiovascular Research Institute Maastricht (CARIM), Maastricht, The Netherlands.
Daniel BrodieDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Steven P KellerDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Bo Soo KimDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Glenn J R WhitmanDivision of Cardiac Surgery, Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Sung-Min ChoDivision of Cardiac Surgery, Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA. csungmi1@jhmi.edu.

Funding

Optimizing Selection and Management of Cardiac Arrest Patients Treated with ECMOK23HL141596 · NHLBI · UNIVERSITY OF UTAH · PI TONNA, JOSEPH EDWARD · 2018 to 2022
$945k
CLots and Oxygen in Va-ExtracorpoReal membrane oxygenation (CLOVER) studyK23HL157610 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI Sung-Min Cho · 2022 to 2026
$797k
NHLBI NIH HHS 1K23HL157610NHLBI NIH HHS 5K08HL14332NHLBI NIH HHS K23 HL141596NHLBI NIH HHS K23HL141596NHLBI NIH HHS K23 HL157610NHLBI NIH HHS L30 HL165486
6 · The paper itself

Abstract

purposeSkin pigmentation influences peripheral oxygen saturation (SpO

methodsAdults (≥ 18 years) supported with VV-ECMO with concurrently measured SpO

resultsOf 13,171 VV-ECMO patients, there were 7772 (59%) White, 2114 (16%) Hispanic, 1777 (14%) Black, and 1508 (11%) Asian patients. The frequency of on-ECMO occult hypoxemia was 2.0% (N = 233). Occult hypoxemia was more common in Black and Hispanic patients versus White patients (3.1% versus 1.7%, P < 0.001 and 2.5% versus 1.7%, P = 0.025, respectively). In multivariable logistic regression, Black patients were at higher risk of pre-ECMO occult hypoxemia versus White patients (adjusted odds ratio [aOR] = 1.55, 95% confidence interval [CI] = 1.18-2.02, P = 0.001). For on-ECMO occult hypoxemia, Black patients (aOR = 1.79, 95% CI = 1.16-2.75, P = 0.008) and Hispanic patients (aOR = 1.71, 95% CI = 1.15-2.55, P = 0.008) had higher risk versus White patients. Higher pump flow rates (aOR = 1.29, 95% CI = 1.08-1.55, P = 0.005) and on-ECMO 24-h lactate (aOR = 1.06, 95% CI = 1.03-1.10, P < 0.001) significantly increased the risk of on-ECMO occult hypoxemia.

conclusionSaO

Indexed as

Extracorporeal Membrane OxygenationHypoxiaRegistriesAdultAgedAsianBlack or African AmericanFemaleHealthcare DisparitiesHemolysisHispanic or LatinoHospital MortalityHumansMaleMiddle AgedOxygen SaturationArterial blood gasHypoxemiaPulse oximetryRacial/ethnical disparitiesVenovenous extracorporeal membrane oxygenation

Identifiers

PMID38856932
PMCPMC11456976

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.