Evidence map›Paper›PMID 37124961›Full record

ArticleCJC open2023

Clinical Predictors of Pacing Device Implantation in Implantable Cardiac Monitor Recipients for Unexplained Syncope.

Reina Tonegawa-Kuji, Yuko Y Inoue, Michikazu Nakai, Koshiro Kanaoka, Yoko Sumita, Yuichiro Miyazaki, Akinori Wakamiya, Keiko Shimamoto, Nobuhiko Ueda, Kenzaburo Nakajima and 10 more

Open access · goldAbstract read
In one paragraph

Article in CJC open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 22% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

20 authors at 1 institution in 1 country.

Reina Tonegawa-KujiDepartment of Cardiovascular Medicine, National Cerebral and Cardiovascular Centre, Suita, Osaka, Japan.
Yuko Y InoueDepartment of Cardiovascular Medicine, National Cerebral and Cardiovascular Centre, Suita, Osaka, Japan.
Michikazu NakaiDepartment of Medical and Health Information Management, National Cerebral and Cardiovascular Centre, Suita, Osaka, Japan.
Koshiro KanaokaDepartment of Medical and Health Information Management, National Cerebral and Cardiovascular Centre, Suita, Osaka, Japan.
Yoko SumitaDepartment of Medical and Health Information Management, National Cerebral and Cardiovascular Centre, Suita, Osaka, Japan.
Yuichiro MiyazakiDepartment of Cardiovascular Medicine, National Cerebral and Cardiovascular Centre, Suita, Osaka, Japan.
Akinori WakamiyaDepartment of Cardiovascular Medicine, National Cerebral and Cardiovascular Centre, Suita, Osaka, Japan.
Keiko ShimamotoDepartment of Cardiovascular Medicine, National Cerebral and Cardiovascular Centre, Suita, Osaka, Japan.
Nobuhiko UedaDepartment of Cardiovascular Medicine, National Cerebral and Cardiovascular Centre, Suita, Osaka, Japan.
Kenzaburo NakajimaDepartment of Cardiovascular Medicine, National Cerebral and Cardiovascular Centre, Suita, Osaka, Japan.
Naoya KataokaDepartment of Cardiovascular Medicine, National Cerebral and Cardiovascular Centre, Suita, Osaka, Japan.
Mitsuru WadaDepartment of Cardiovascular Medicine, National Cerebral and Cardiovascular Centre, Suita, Osaka, Japan.
Kenichiro YamagataDepartment of Cardiovascular Medicine, National Cerebral and Cardiovascular Centre, Suita, Osaka, Japan.
Kohei IshibashiDepartment of Cardiovascular Medicine, National Cerebral and Cardiovascular Centre, Suita, Osaka, Japan.
Koji MiyamotoDepartment of Cardiovascular Medicine, National Cerebral and Cardiovascular Centre, Suita, Osaka, Japan.
Satoshi NagaseDepartment of Cardiovascular Medicine, National Cerebral and Cardiovascular Centre, Suita, Osaka, Japan.
Takeshi AibaDepartment of Cardiovascular Medicine, National Cerebral and Cardiovascular Centre, Suita, Osaka, Japan.
Yoshihiro MiyamotoOpen Innovation Centre, National Cerebral and Cardiovascular Centre, Suita, Osaka, Japan.
Yoshitaka IwanagaDepartment of Medical and Health Information Management, National Cerebral and Cardiovascular Centre, Suita, Osaka, Japan.
Kengo KusanoDepartment of Cardiovascular Medicine, National Cerebral and Cardiovascular Centre, Suita, Osaka, Japan.
National Cerebral and Cardiovascular Center · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Implantable cardiac monitors (ICMs) help investigate the cause of unexplained syncope, but the probability and predictors of needing a pacing device thereafter remain unclear. Methods: We retrospectively analyzed the data of patients who received ICM insertion for unexplained syncope with suspected arrhythmic etiology. The data were obtained from a nationwide database obtained between April 1, 2012 and March 31, 2020. Multivariable mixed-effects survival analysis was performed to identify predictors of pacing device implantation (PDI), and a risk score model was developed accordingly. Results: In total, 2905 patients (age: 72 years [range: 60-78]) implanted with ICMs to investigate the cause of syncope were analyzed. During the median follow-up period of 128 days (range: 68-209) days, 473 patients (16%) underwent PDI. Older age, history of atrial fibrillation, bundle branch block (BBB), and diabetes were independent predictors of PDI in multivariable analysis. A risk score model was developed with scores ranging from 0 to 32 points. When patients with the lowest quartile score (0-13 points) were used as a reference, those with higher quartiles had a higher risk of PDI (second quartile: 14-15 points, hazard ratio [HR]: 3.86, 95% confidence interval [CI]: 2.62-5.68; third quartile: 16-18 points, HR: 4.67, 95% CI: 3.14-6.94; fourth quartile: 19-32 points, HR: 6.59, 95% CI: 4.47-9.71). Conclusions: The 4 identified predictors are easily assessed during the initial evaluation of patients with syncope. They may help identify patients with a higher risk of requiring permanent PDI.

Identifiers

PMID37124961
PMCPMC10140738
OpenAlexW4312160036

What Socratic 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 Socratic graph.