Evidence map›Paper›PMID 29567851›Full record

ArticleBMJ open2018

Role of CHA

Wei-Syun Hu, Cheng-Li Lin

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 25% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Association between CHAJournal of cardiovascular imaging · 2026
    Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. The performance of five models compared with atrial high rate episodes predicts new atrial fibrillation after cardiac implantable electronic devices implantation.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2022
    Article
  9. Risk factors for recurrence of atrial fibrillation.Anatolian journal of cardiology · 2021
    Article
  10. Assessment of the ability of the CHABMC cardiovascular disorders · 2021
    Article
  11. Article
  12. 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

2 authors at 1 institution in 1 country.

Wei-Syun HuSchool of Medicine, College of Medicine, China Medical University, Taichung, Taiwan.ORCID 0000-0003-2478-923X
Cheng-Li LinManagement Office for Health Data, China Medical University Hospital, Taichung, Taiwan.
China Medical University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe objective of the current study was to explore the role of CHA

methodsThe study subjects were identified from Longitudinal Health Insurance Database provided by the National Health Research Institutes. The patients with DM were divided into two groups based on a history of HHS or not. The predictive ability of CHA

resultsThe present study involved a total of 69 530 patients with type 2 DM. Among them, 1558 patients had a history of HHS, whereas 67 972 patients did not. The AUROC of the CHA

conclusionsTo conclude, we reported for the first time on the assessment of CHA

Indexed as

AdultAgedAged, 80 and overArea Under CurveAtrial FibrillationDatabases, FactualDiabetes Mellitus, Type 2FemaleHumansHyperglycemic Hyperosmolar Nonketotic ComaIncidenceMaleMiddle AgedPredictive Value of TestsRetrospective StudiesRisk Assessmentatrial fibrillationCHA2DS2-VASc scorediabetes mellitushyperosmolar hyperglycemic state

Identifiers

PMID29567851
PMCPMC5875622
OpenAlexW2789506868

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.