Evidence map›Paper›PMID 31532454›Full record

ArticleJAMA cardiology2019

Association Between Current and Future Annual Hospital Percutaneous Coronary Intervention Mortality Rates.

Alexander T Sandhu, Shun Kohsaka, Jay Bhattacharya, William F Fearon, Robert A Harrington, Paul A Heidenreich

Abstract readMulticenter Study
In one paragraph

Article in JAMA cardiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Role of randomness in observed outcomes and implications for quality assessment.Proceedings (Baylor University. Medical Center) · 2020
    Article
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Alexander T SandhuDivision of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, California.
Shun KohsakaDivision of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, California.
Jay BhattacharyaCenter for Health Policy, Department of Medicine, Stanford University, Stanford, California.
William F FearonDivision of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, California.
Robert A HarringtonDivision of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, California.
Paul A HeidenreichDivision of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, California.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Multiple states publicly report a hospital's risk-adjusted mortality rate for percutaneous coronary intervention (PCI) as a quality measure. However, whether reported annual PCI mortality is associated with a hospital's future performance is unclear. Objective: To evaluate the association between reported risk-adjusted hospital PCI-related mortality and a hospital's future PCI-related mortality. Design, Setting, and Participants: This study used data from the New York Percutaneous Intervention Reporting System from January 1, 1998, to December 31, 2016, to assess hospitals that perform PCI. Exposures: Public-reported, risk-adjusted, 30-day mortality after PCI. Main Outcomes and Measures: The primary analysis evaluated the association between a hospital's reported risk-adjusted PCI-related mortality and future PCI-related mortality. The correlation between a hospital's observed to expected (O/E) PCI-related mortality rates each year and future O/E mortality ratios was assessed. Multivariable linear regression was used to examine the association between index year O/E mortality and O/E mortality in subsequent years while adjusting for PCI volume and patient severity. Results: This study included 67 New York hospitals and 960 hospital-years. Hospitals with low PCI-related mortality (O/E mortality ratio, ≤1) and high mortality (O/E mortality ratio, >1) had inverse associations between their O/E mortality ratio in the index year and the subsequent change in the ratio (hospitals with low mortality, r = -0.45; hospitals with high mortality, r = -0.60). Little of the variation in risk-adjusted mortality was explained by prior performance. An increase in the O/E mortality ratio from 1.0 to 2.0 in the index year was associated with a higher O/E mortality ratio of only 0.15 (95% CI, 0.02-0.27) in the following year. Conclusions and Relevance: At hospitals with high or low PCI-related mortality rates, the rates largely regressed to the mean the following year. A hospital's risk-adjusted mortality rate was poorly associated with its future mortality. The annual hospital PCI-related mortality may not be a reliable factor associated with hospital quality to consider in a practice change or when helping patients select high-quality hospitals.

Indexed as

Cause of DeathQuality Indicators, Health CareAgedAge DistributionCohort StudiesFemaleHospital MortalityHumansIncidenceLinear ModelsMaleMiddle AgedMultivariate AnalysisNew YorkPercutaneous Coronary InterventionRegistries

Identifiers

PMID31532454
PMCPMC6751759

What OpenQuestion holds

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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 OpenQuestion graph.