Evidence map›Paper›PMID 35052725›Full record

ArticleBiomedicines2021

Red Cell Distribution Width and Mortality in Patients Undergoing Percutaneous Coronary Intervention.

Min-Tsun Liao, Chao-Lun Lai, Ting-Chuan Wang, Jou-Wei Lin, Yi-Lwun Ho, K Arnold Chan

Abstract read
In one paragraph

Article in Biomedicines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Observational
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.

Min-Tsun LiaoDepartment of Internal Medicine, National Taiwan University Hospital Hsin-Chu Branch, Hsin-Chu 300, Taiwan.ORCID 0000-0002-6283-6554
Chao-Lun LaiDepartment of Internal Medicine, National Taiwan University Hospital Hsin-Chu Branch, Hsin-Chu 300, Taiwan.ORCID 0000-0002-0362-245X
Ting-Chuan WangHealth Data Research Center, National Taiwan University, Taipei 100, Taiwan.
Jou-Wei LinDepartment of Internal Medicine, College of Medicine, National Taiwan University, Taipei 100, Taiwan.
Yi-Lwun HoDepartment of Internal Medicine, College of Medicine, National Taiwan University, Taipei 100, Taiwan.
K Arnold ChanHealth Data Research Center, National Taiwan University, Taipei 100, Taiwan.

Funding

National Taiwan University Health Data Research Center, National Taiwan University Hospital MQ3615Taiwan Food and Drug Administration MOHW107-FDA-B-113-000511
6 · The paper itself

Abstract

Red cell distribution width (RDW) can effectively predict prognosis in coronary artery disease (CAD) patients following percutaneous coronary intervention (PCI). There is currently no relevant research to demonstrate a linear or non-linear association between RDW and mortality. This is a multi-center, retrospective cohort study, with data collected from 2006 to 2017. Source data included electronic medical records of the Integrated Medical Database of National Taiwan University Hospital, and health insurance claims from the National Health Insurance Administration. Patients were stratified into five groups according to RDW values (13.4%, 14.1%, 14.8%, and 15.9%). Multivariable logistic and Cox regression analyses were used to determine 1-year all-cause and cardiovascular (CV) mortalities. Data of 10,669 patients were analyzed and those with the lowest RDW (≤13.3%) served as the reference group. The adjusted odds ratios (ORs) of 1-year all-cause mortality from the second to fifth RDW group were 1.386, 1.589, 2.090, and 3.192, respectively (

Indexed as

mortalitypercutaneous coronary interventionred cell distribution width

Identifiers

PMID35052725
PMCPMC8772904

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.