Evidence map›Paper›PMID 34580093›Full record

ArticleBMJ open2021

Variation in preoperative stress testing by patient, physician and surgical type: a cohort study.

Matthew A Pappas, Daniel I Sessler, Andrew D Auerbach, Michael W Kattan, Alex Milinovich, Eugene H Blackstone, Michael B Rothberg

Abstract read
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Pooled it
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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.

Matthew A PappasDepartment of Hospital Medicine, Cleveland Clinic, Cleveland, Ohio, USA pappasm@ccf.org.ORCID 0000-0002-0353-1785
Daniel I SesslerOutcomes Research Consortium, Cleveland, Ohio, USA.
Andrew D AuerbachDepartment of Hospital Medicine, University of California San Francisco, San Francisco, California, USA.
Michael W KattanDepartment of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Alex MilinovichDepartment of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Eugene H BlackstoneMiller Family Heart and Vascular Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Michael B RothbergCenter for Value-based Care Research, Cleveland Clinic, Cleveland, Ohio, USA.

Funding

Personalizing Preoperative Stress Testing Using Machine LearningK08HL141598 · NHLBI · CLEVELAND CLINIC LERNER COM-CWRU · PI PAPPAS, MATTHEW · 2019 to 2023
$805k
NHLBI NIH HHS K08 HL141598
6 · The paper itself

Abstract

objectivesTo describe variation in and drivers of contemporary preoperative cardiac stress testing.

settingA dedicated preoperative risk assessment and optimisation clinic at a large integrated medical centre from 2008 through 2018.

participantsA cohort of 118 552 adult patients seen by 104 physicians across 159 795 visits to a preoperative risk assessment and optimisation clinic. MAIN OUTCOME: Referral for stress testing before major surgery, including nuclear, echocardiographic or electrocardiographic-only stress testing, within 30 days after a clinic visit.

resultsA total of 8303 visits (5.2%) resulted in referral for preoperative stress testing. Key patient factors associated with preoperative stress testing included predicted surgical risk, patient functional status, a previous diagnosis of ischaemic heart disease, tobacco use and body mass index. Patients living in either the most-deprived or least-deprived census block groups were more likely to be tested. Patients were tested more frequently before aortic, peripheral vascular or urologic interventions than before other surgical subcategories. Even after fully adjusting for patient and surgical factors, provider effects remained important: marginal testing rates differed by a factor-of-three in relative terms and around 2.5% in absolute terms between the 5th and 95th percentile physicians. Stress testing frequency decreased over the time period; controlling for patient and physician predictors, a visit in 2008 would have resulted in stress testing approximately 3.5% of the time, while a visit in 2018 would have resulted in stress testing approximately 1.3% of the time.

conclusionsIn this large cohort of patients seen for preoperative risk assessment at a single health system, decisions to refer patients for preoperative stress testing are influenced by various factors other than estimated perioperative risk and functional status, the key considerations in current guidelines. The frequency of preoperative stress testing has decreased over time, but remains highly provider-dependent.

Indexed as

Myocardial IschemiaPhysiciansAdultCohort StudiesExercise TestHumansPreoperative Careadult anaesthesiaadult cardiologyadult surgeryhealth services administration & managementinternal medicine

Identifiers

PMID34580093
PMCPMC8477322

What Socratic holds

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LicenceCC BY-NC
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Registered trials

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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 Socratic graph.