Evidence map›Paper›PMID 29120351›Full record

ArticleInternational journal of environmental research and public health2017

Are PCI Service Volumes Associated with 30-Day Mortality? A Population-Based Study from Taiwan.

Tsung-Hsien Yu, Ying-Yi Chou, Chung-Jen Wei, Yu-Chi Tung

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

  1. Pooled it
  2. Article
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

4 authors.

Tsung-Hsien YuDepartment of Health Care Management, National Taipei University of Nursing and Health Sciences, Taipei 108, Taiwan. ericthyu@ntu.edu.tw.ORCID 0000-0002-6874-989X
Ying-Yi ChouInstitute of Health Policy and Management, National Taiwan University, Taipei 100, Taiwan. s202280002@gmail.com.
Chung-Jen WeiDepartment of Public Health, Fu-Jen Catholic University, Taipei 242, Taiwan. 034425@mail.fju.edu.tw.
Yu-Chi TungInstitute of Health Policy and Management, National Taiwan University, Taipei 100, Taiwan. yuchitung@ntu.edu.tw.ORCID 0000-0001-9031-8749

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The volume-outcome relationship has been discussed for over 30 years; however, the findings are inconsistent. This might be due to the heterogeneity of service volume definitions and categorization methods. This study takes percutaneous coronary intervention (PCI) as an example to examine whether the service volume was associated with PCI 30-day mortality, given different service volume definitions and categorization methods. A population-based, cross-sectional multilevel study was conducted. Two definitions of physician and hospital volume were used: (1) the cumulative PCI volume in a previous year before each PCI; (2) the cumulative PCI volume within the study period. The volume was further treated in three ways: (1) a categorical variable based on the American Heart Association's recommendation; (2) a semi-data-driven categorical variable based on k-means clustering algorithm; and (3) a data-driven categorical variable based on the Generalized Additive Model. The results showed that, after adjusting the patient-, physician-, and hospital-level covariates, physician volume was associated inversely with PCI 30-day mortality, but hospital volume was not, no matter which definitions and categorization methods of service volume were applied. Physician volume is negatively associated with PCI 30-day mortality, but the results might vary because of definition and categorization method.

Indexed as

AgedCross-Sectional StudiesFemaleHospital MortalityHospitals, High-VolumeHumansMaleMiddle AgedPercutaneous Coronary InterventionPhysiciansTaiwancomparisonmultilevel analysisPCIservice volume

Identifiers

PMID29120351
PMCPMC5708001

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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.