Evidence map›Paper›PMID 27050445›Full record

ArticleMedical care2016

Practice Variation Among Hospitals in Revascularization Therapy and Its Association With Procedure-related Mortality.

Jarrod E Dalton, David A Zidar, Belinda L Udeh, Manesh R Patel, Jesse D Schold, Neal V Dawson

Open access · greenAbstract read
In one paragraph

Article in Medical care, 2016. 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
1.1field-weighted citation impact, top 20% 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

0 citing papers in PubMed, 7 citations in OpenAlex.

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

6 authors at 5 institutions in 1 country.

Jarrod E Dalton*Departments of Quantitative Health Sciences and Outcomes Research, Cleveland Clinic †Harrington Heart and Vascular Institute, Case Western Reserve University/University Hospitals Case Medical Center ‡Department of Outcomes Research, Cleveland Clinic, Cleveland, OH §Duke Clinical Research Institute, Duke University, Durham, NC ∥Department of Quantitative Health Sciences, Cleveland Clinic ¶Center for Healthcare Research and Policy, Case Western Reserve University/MetroHealth Medical Center, Cleveland, OH.
David A Zidar
Belinda L Udeh
Manesh R Patel
Jesse D Schold
Neal V Dawson
Cleveland Clinic · USCase Western Reserve University · USDuke University · USMetroHealth Medical Center · USOutcomes Research Consortium · US

Funding

Clinical and Translational Science Collaborative of ClevelandKL2TR000440 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI KONSTAN, MICHAEL W. · 2012 to 2016
$11.1M
NCATS NIH HHS KL2 TR000440
6 · The paper itself

Abstract

backgroundWhile substantial practice variation in coronary revascularization has been described and deviation from clinical practice guidelines has been associated with worse outcomes, the degree to which this is driven by flawed decision making and/or appropriate deviation associated with comorbid conditions is unknown. We evaluated heterogeneity in procedure use, and the extent to which hospital-level practice variation is related to surgical mortality.

methodsWe analyzed data on 554,563 inpatients undergoing either percutaneous coronary intervention or coronary artery bypass grafting at 391 centers in 6 states. Procedure-specific risk models were developed based on demographics and comorbidities, allowing for differential effects of comorbidities for each sex. For each patient, the revascularization procedure that minimized predicted probability of inhospital mortality was designated as the model-preferred procedure.Hospital-level discordance rates-the proportion of cases in each hospital for which the opposite from the model-preferred procedure was performed-were calculated. Hierarchical linear models were used to analyze the relationship between HDRs and hospital-level risk-standardized mortality ratios (RSMRs).

resultsComorbidities and demographics alone explained between 68% and 86% of overall variation in inhospital mortality (corresponding C-statistics of 0.84-0.93). The mean (SD) HDR was 26.3% (9.6%). There was a positive independent association between HDRs and inhospital mortality, with a 10% increase in HDR associated with an 11% increase in RSMR (P<0.001).

conclusionsVariance in procedure use according to model preference was strongly associated with worse outcomes. A systematic approach to incorporating comorbidity as part of the decision-making process for coronary revascularization is needed.

Indexed as

AgedCoronary Artery BypassFemaleHospital MortalityHospitalsHumansMaleModels, StatisticalPercutaneous Coronary InterventionRisk FactorsUnited States

Identifiers

PMID27050445
PMCPMC4865419
OpenAlexW2336636120

What OpenQuestion holds

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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.