Evidence map›Paper›PMID 41564836›Full record

ArticleThe Journal of surgical research2026

Assessing Racial Bias Within American Society of Anesthesiologists Classification.

Michael A Jacobs, Brenna N McKaig, Susanne Schmidt, Paula K Shireman, James W Ibinson, Jessica H Maxwell, Daniel E Hall

Abstract read
In one paragraph

Article in The Journal of surgical research, 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

7 authors.

Michael A JacobsCenter for Healthcare Evaluation, Research, and Promotion, VA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania.
Brenna N McKaigCenter for Bioethics and Health Law, University of Pittsburgh, Pittsburgh, Pennsylvania.
Susanne SchmidtDepartment of Population Health Sciences, University of Texas Health San Antonio, San Antonio, Texas.
Paula K ShiremanDepartments of Medical Physiology and Primary Care & Rural Medicine, College of Medicine, Texas A&M University, Bryan, Texas.
James W IbinsonDepartment of Anesthesiology, VA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania; Department of Anesthesiology & Perioperative Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
Jessica H MaxwellDepartment of Otolaryngology, VA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania; Department of Otolaryngology - Head & Neck Surgery, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania; Department of Head and Neck Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania.
Daniel E HallCenter for Healthcare Evaluation, Research, and Promotion, VA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania; Department of Surgery, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania; Geriatric Research Education and Clinical Center, VA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania; Wolff Center at University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania. Electronic address: hallde@upmc.edu.

Funding

HSRD VA I01 HX003095HSRD VA I01 HX003322
6 · The paper itself

Abstract

introductionThe American Society of Anesthesiologists (ASA) classification system is widely used to evaluate surgical risk, make patient care decisions, and determine reimbursement. However, race/ethnicity bias in ASA class is largely unexplored, with potential ramifications for healthcare disparities.

methodsIn a retrospective cohort study of 350,187 Veterans Health Administration surgical cases and 4,051,185 non-Veterans Health Administration cases, race/ethnicity groups were matched on the components of the Risk Analysis Index, a surgical frailty measure, and preoperative acute serious conditions, conditions associated with urgent/emergent surgeries, to evaluate differences in ASA class.

resultsAfter matching, Black cases had higher ASA class versus White cases (adjusted odds ratios = 1.37 and 1.07, 95% confidence intervals = 1.37-1.38 and 1.04-1.09, P < 0.001). Hispanic cases had lower ASA class versus White cases (adjusted odds ratios = 0.96 and 0.96, 95% confidence intervals = 0.96-0.97 and 0.93-0.99, P < 0.001 and 0.008), though the effect changed sign in a sensitivity analysis.

conclusionsASA class varies by race/ethnicity, representing bias that could drive health disparities. Given the matching strategy used, such bias may have practical implications for patient outcomes and quality improvement. For Black patients, a higher ASA class may drive increased preoperative testing, surgical delays, and increased costs. For Hispanic patients, a lower ASA class may drive reduced preoperative screening and riskier outpatient procedures. For some purposes, the ASA class may need to be replaced with other measures of patient morbidity. For others, ASA class may need to be revised and assigned by automated systems with safeguards against race/ethnicity bias.

Indexed as

Healthcare DisparitiesRacismSurgical Procedures, OperativeAgedAnesthesiologyBlack or African AmericanFemaleHumansMaleMiddle AgedRetrospective StudiesRisk AssessmentUnited StatesWhiteAnesthesiology reimbursementCausal matchingSurgical decision making

Identifiers

PMID41564836
PMCPMC13051484

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.