Evidence map›Paper›PMID 40146636›Full record

Observational studyAnesthesia and analgesia2026

Phenotyping the Transfusion Management Experience of Trainees Using Electronic Health Records.

Matthew D Caldwell, Norah N Naughton, Sathish S Kumar, Michael R Mathis, Douglas Colquhoun, Graciela B Mentz, Yuan Yuan, Lara Zisblatt

Abstract readObservational Study
In one paragraph

Observational study in Anesthesia and analgesia, 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

8 authors.

Matthew D CaldwellFrom the Departments of Anesthesiology.
Norah N NaughtonFrom the Departments of Anesthesiology.
Sathish S KumarFrom the Departments of Anesthesiology.
Michael R MathisFrom the Departments of Anesthesiology.
Douglas ColquhounFrom the Departments of Anesthesiology.
Graciela B MentzFrom the Departments of Anesthesiology.
Yuan YuanFrom the Departments of Anesthesiology.
Lara ZisblattFrom the Departments of Anesthesiology.

Funding

Data Driven Approaches to Improving Risk Prediction of Pulmonary Complications After Major Inpatient SurgeryK08HL159327 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI COLQUHOUN, DOUGLAS ALASTAIR · 2021 to 2025
$811k
NHLBI NIH HHS K08 HL159327University of Michigan Graduate Medical Education Innovation Grant Program U078433
6 · The paper itself

Abstract

backgroundClinical experience is foundational to graduate medical education but is difficult to quantify. Self-reported case logs and scheduled rotations provide limited detail on residents' actual experiences. The analysis of electronic health record (EHR) data may provide a more comprehensive view of residents' actual clinical experiences. We aimed to quantify and characterize residents' direct clinical experiences with intraoperative transfusion management as a proof of concept for the utility of EHR data in anesthesiology graduate medical education.

methodsThis retrospective observational study aimed to measure the participation of anesthesiology residency graduates with intraoperative transfusion management at a single institution. Data pertaining to the University of Michigan cases submitted to the Multicenter Perioperative Outcomes Group (MPOG) data registry from January 1, 2012, to December 31, 2022, were analyzed. The primary outcome was participation in intraoperative transfusion management defined by the transfusion of any volume of homologous packed red blood cells (pRBC) documented within the intraoperative anesthesia record. Subgroup analysis characterized resident participation in severe intraoperative hemorrhage resuscitation defined as the transfusion of ≥4 pRBCs. Additional outcomes were participation in non-pRBC blood product transfusion and transfusion of cell-salvaged blood. Surgical case and resident-specific factors were analyzed for association with resident participation in intraoperative pRBC transfusion.

resultsThroughout the study period, 231 residents from 8 graduating cohorts were involved in 222,006 anesthetic cases of which 8529 (4%) included intraoperative pRBC transfusion. Over the entire course of residency training, residents on average participated in 37 (standard deviation [SD] = 8) cases with intraoperative pRBC transfusion with a range of 16 to 60. The mean (SD [range]) participation with severe hemorrhage resuscitation was 10 (3 [2-22]), participation with non-pRBC transfusion was 7 (3 [1-14]), and participation with cell salvaged blood was 13 (4 [3-26]). Five of 19 surgical services (cardiac, transplant, vascular, neurosurgery, orthopedic) accounted for the majority (5668; 66%) of intraoperative transfusion management experiences.

conclusionsVariation exists in the transfusion management experience among trainees at a single academic center. This study supports the feasibility of using EHR data to quantify the clinical experiences of residents beyond the assumptions underlying self-reported case logs and time on specialty rotations. Such analyses may allow for interventions to optimize the frequency, timing, and sequencing of clinical care activities to ensure optimal clinical experience.

Indexed as

AnesthesiologyBlood TransfusionClinical CompetenceEducation, Medical, GraduateElectronic Health RecordsErythrocyte TransfusionInternship and ResidencyAdultFemaleHumansMalePhenotypeRetrospective Studies

Identifiers

PMID40146636
PMCPMC12353038

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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.