Evidence map›Paper›PMID 36352790›Full record

ArticleJournal of cardiac surgery2022

A nomogram based on CHADS

Yu Liu, Youpeng Tian, Jinqi Fan, Yanping Xu, Yun-Lin Chen, Yuehui Yin

Open access · hybridAbstract read
In one paragraph

Article in Journal of cardiac surgery, 2022. 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
1.6field-weighted citation impact, top 15% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. A nomogram based on CHADSJournal of cardiac surgery · 2022
    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

6 authors at 2 institutions in 2 countries.

Yu LiuDepartment of Cardiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.ORCID http://orcid.org/0000-0001-5630-7595
Youpeng TianDepartment of Cardiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Jinqi FanDepartment of Biomedical Engineering and Pediatrics, Emory University, Atlanta, Georgia, USA.
Yanping XuDepartment of Cardiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Yun-Lin ChenDepartment of Cardiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Yuehui YinDepartment of Cardiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Dalian Medical University · CNEmory University · US

Funding

This work was supported by the Young Talents Project of the Second Affiliated Hospital of Chongqing Medical University under Grant No.13-004-010.
6 · The paper itself

Abstract

backgroundAs reported, CHADS

methodsEighty-four patients with paroxysmal AF undergoing cryoballoon ablation were enrolled. Baseline characteristics were collected. The multivariable Cox proportional hazards model was used to identify the significantly related predictors of recurrence and to construct the nomogram whose performance was evaluated by the discrimination and calibration tests.

resultsThirty-five patients developed AF recurrence after a mean follow up of 19.0 ± 15.77 months. In the Cox multivariate model, CHADS

conclusionThis novel easy-to-use CHADS

Indexed as

Atrial FibrillationCatheter AblationHumansNomogramsProportional Hazards ModelsRisk FactorsTreatment Outcomealbumin-to-globulin ratioatrial fibrillation recurrenceCHADS2cryoballoon ablationnomogram

Identifiers

PMID36352790
PMCPMC10100442
OpenAlexW4308682687

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.