Evidence map›Paper›PMID 41932269›Full record

ArticleThe Journal of emergency medicine2026

Exploring Demographic Differences in Postintubation Analgesia by Racial Group, Sex, and Age.

Katarina E AuBuchon, Anthony Amaru, Tania Quintero Cepero, Savannah Creed, Jacqueline Caputo, Amelia Cogan, Chloe Verwiel, Victoria Kim, Rui Zhang, Jaeil Ahn and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The Journal of emergency medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Katarina E AuBuchonLombardi Comprehensive Cancer Center, Georgetown University, Washington, District of Columbia. Electronic address: kea87@georgetown.edu.
Anthony AmaruSchool of Medicine, Georgetown University, Washington, District of Columbia.
Tania Quintero CeperoSchool of Medicine, Georgetown University, Washington, District of Columbia.
Savannah CreedSchool of Medicine, Georgetown University, Washington, District of Columbia.
Jacqueline CaputoSchool of Medicine, Georgetown University, Washington, District of Columbia.
Amelia CoganSchool of Medicine, Georgetown University, Washington, District of Columbia.
Chloe VerwielSchool of Medicine, Georgetown University, Washington, District of Columbia.
Victoria KimSchool of Medicine, Georgetown University, Washington, District of Columbia.
Rui ZhangDepartment of Biostatistics, Bioinformatics, and Biomathematics, Georgetown University, Washington, District of Columbia.
Jaeil AhnLombardi Comprehensive Cancer Center, Georgetown University, Washington, District of Columbia; Department of Biostatistics, Bioinformatics, and Biomathematics, Georgetown University, Washington, District of Columbia.
Hannah AremMedStar Health Research Institute, Washington, District of Columbia.
Patricia McCabeMedStar Washington Hospital Center, Washington, District of Columbia.
Munish GoyalSchool of Medicine, Georgetown University, Washington, District of Columbia; MedStar Washington Hospital Center, Washington, District of Columbia.

Funding

Training Program in Cancer Population Science (CaPS)T32CA261787 · NCI · GEORGETOWN UNIVERSITY · PI Lucile L. Adams-Campbell, Suzanne C. O'Neill · 2021 to 2026
$1.1M
NCI NIH HHS T32 CA261787
6 · The paper itself

Abstract

backgroundAfter rapid sequence intubation (post-RSI), patients require analgesia to ensure adequate pain management; however, extant research suggests that in other medical procedures, there are demographic differences in analgesic prescribing.

objectivesWe examined potential sociodemographic differences in post-RSI opioid prescribing across a Med-Atlantic healthcare system. We hypothesized that Black (vs. White), female (vs. male), and older (vs. younger) patients would receive lower opioid doses post-RSI.

methodsWe conducted a retrospective chart review of all intubated adults (analytic n = 1211; 65.81% Black; 46.05% Female; Age Median = 61.00 [60.00, 63.00]) in 2019. We extracted demographics (sex, racial group, age), comorbidities, and opioid dose in Milligram Morphine Equivalent (MME). As only 29.4% of patients received an opioid, we tested our hypotheses with a zero-inflated Poisson model.

resultsIncreasing age was associated with a significantly lower likelihood of receiving an opioid (odds ratios [OR] = 0.81, p = 0.021) and lower MME doses when they received an opioid (rate ratio [RR] = 0.87, p < 0.001). Black (vs. White) patients had significantly higher odds of receiving an opioid (OR = 1.66, p = 0.010), but lower MME doses (RR = 0.71, p < 0.001). Sex did not significantly influence opioid prescribing likelihood, but if they received an opioid, female patients received lower MME than male patients (RR = 0.90, p = 0.018).

conclusionOur data revealed significant racialized, sex-, and age-based disparities and inequities in opioid prescribing postintubation. Future work is needed to examine best practices in age-related post-RSI opioid recommendations and establish standardized practices that promote equitable analgesia for all patients.

Indexed as

AnalgesiaDemographyIntubation, IntratrachealPain ManagementRacial GroupsAdultAgedAge FactorsAnalgesics, OpioidBlack or African AmericanFemaleHumansMaleMiddle AgedRetrospective StudiesSex FactorsAnalgesics, Opioidopioid disparitiespostintubation analgesiapostintubation sedationrapid-sequence intubation

Identifiers

PMID41932269
PMCPMC13081784

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.