Evidence map›Paper›PMID 34148709›Full record

Observational studySurgery2021

The impact of team familiarity on intra and postoperative cardiac surgical outcomes.

Michael R Mathis, Steven Yule, Xiaoting Wu, Roger D Dias, Allison M Janda, Sarah L Krein, Milisa Manojlovich, Matthew D Caldwell, Korana Stakich-Alpirez, Min Zhang and 7 more

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in Surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
1.9field-weighted citation impact, top 13% 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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Intraoperative Transesophageal Echocardiographic Guidance in Cardiac Surgery.Journal of cardiovascular development and disease · 2025
    Review
  7. Article
  8. Article
  9. The difficulties and solutions in operationalising a hybrid operating room.The Journal of international medical research · 2024
    Review
  10. Article
  11. Review
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

17 authors at 3 institutions in 2 countries.

Michael R MathisDepartment of Anesthesiology, Michigan Medicine, University of Michigan, Ann Arbor, MI. Electronic address: https://twitter.com/Michael_Mathis.
Steven YuleDepartment of Clinical Surgery, University of Edinburgh, Scotland; Department of Surgery, Brigham & Women's Hospital/Harvard Medical School, Boston, MA. Electronic address: https://twitter.com/NOTSS_lab.
Xiaoting WuDepartment of Cardiac Surgery, Michigan Medicine, University of Michigan, Ann Arbor, MI.
Roger D DiasDepartment of Emergency Medicine, Brigham & Women's Hospital/ Harvard Medical School, Boston, MA. Electronic address: https://twitter.com/RogerDDias.
Allison M JandaDepartment of Anesthesiology, Michigan Medicine, University of Michigan, Ann Arbor, MI.
Sarah L KreinDepartment of Internal Medicine, University of Michigan and Veterans Affairs Ann Arbor Healthcare System, MI. Electronic address: https://twitter.com/Sarahlkrein.
Milisa ManojlovichSchool of Nursing, University of Michigan, Ann Arbor, MI. Electronic address: https://twitter.com/mmanojlo.
Matthew D CaldwellDepartment of Anesthesiology, Michigan Medicine, University of Michigan, Ann Arbor, MI.
Korana Stakich-AlpirezDepartment of Cardiac Surgery, Michigan Medicine, University of Michigan, Ann Arbor, MI.
Min ZhangDepartment of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI.
Jason CorsoDepartment of Electrical Engineering and Computer Science, College of Engineering, University of Michigan, Ann Arbor, MI. Electronic address: https://twitter.com/ProfJasonCorso.
Nathan LouisDepartment of Electrical Engineering and Computer Science, College of Engineering, University of Michigan, Ann Arbor, MI.
Tongbo XuDepartment of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI.
Jeremy WolvertonDepartment of Cardiac Surgery, Michigan Medicine, University of Michigan, Ann Arbor, MI. Electronic address: https://twitter.com/JeremyWolverton.
Francis D PaganiDepartment of Cardiac Surgery, Michigan Medicine, University of Michigan, Ann Arbor, MI. Electronic address: https://twitter.com/FPaganiMD.
Donald S LikoskyDepartment of Cardiac Surgery, Michigan Medicine, University of Michigan, Ann Arbor, MI. Electronic address: likosky@med.umich.edu.
Video Assessment Cardiac Surgery Quality (VARSITY) Group. Electronic address: https://twitter.com/SurgeryVarsity
Twitter (United States) · USMichigan Medicine · USUniversity of Michigan · US

Funding

Developing Standardized Intraoperative Process Models to Enhance Surgical SafetyR01HL126896 · NHLBI · HARVARD MEDICAL SCHOOL · PI ZENATI, MARCO A. · 2016 to 2023
$3.7M
Novel Assessments of Technical and Non-Technical Cardiac Surgery QualityR01HL146619 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LIKOSKY, DONALD S, PAGANI, FRANCIS D · 2020 to 2024
$3.4M
Understanding and Addressing Variation in Healthcare-Associated Infections After Durable Ventricular Assist Device TherapyR01HS026003 · AHRQ · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LIKOSKY, DONALD S · 2018 to 2022
$2.3M
University of Michigan Anesthesiology Post-Doctoral Research Training ProgramT32GM103730 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Chad M Brummett, SACHIN KHETERPAL · 2014 to 2026
$1.9M
Early Diagnosis of Heart Failure: A Perioperative Data-Driven ApproachK01HL141701 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MATHIS, MICHAEL ROBERT · 2018 to 2022
$862k
HSRD VA IK6 HX003399HSRD VA RCS 11-222NHLBI NIH HHS K01 HL141701NHLBI NIH HHS R01 HL126896NHLBI NIH HHS R01 HL146619NIGMS NIH HHS T32 GM103730
6 · The paper itself

Abstract

backgroundFamiliarity among cardiac surgery team members may be an important contributor to better outcomes and thus serve as a target for enhancing outcomes.

methodsAdult cardiac surgical procedures (n = 4,445) involving intraoperative providers were evaluated at a tertiary hospital between 2016 and 2020. Team familiarity (mean of prior cardiac surgeries performed by participating surgeon/nonsurgeon pairs within 2 years before the operation) were regressed on cardiopulmonary bypass duration (primary-an intraoperative measure of care efficiency) and postoperative complication outcomes (major morbidity, mortality), adjusting for provider experience, surgeon 2-year case volume before the surgery, case start time, weekday, and perioperative risk factors. The relationship between team familiarity and outcomes was assessed across predicted risk strata.

resultsMedian (interquartile range) cardiopulmonary bypass duration was 132 (91-192) minutes, and 698 (15.7%) patients developed major postoperative morbidity. The relationship between team familiarity and cardiopulmonary bypass duration significantly differed across predicted risk strata (P = .0001). High (relative to low) team familiarity was associated with reduced cardiopulmonary bypass duration for medium-risk (-24 minutes) and high-risk (-27 minutes) patients. Increasing team familiarity was not significantly associated with the odds of major morbidity and mortality.

conclusionTeam familiarity, which was predictive of improved intraoperative efficiency without compromising major postoperative outcomes, may serve as a novel quality improvement target in the setting of cardiac surgery.

Indexed as

Recognition, PsychologyAgedCardiac Surgical ProceduresHeart DiseasesHumansMiddle AgedMorbidityOperative TimePostoperative ComplicationsRetrospective StudiesRisk FactorsSurgeonsSurvival RateTreatment OutcomeUnited States

Identifiers

PMID34148709
PMCPMC8733606
OpenAlexW3174269787

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.