Evidence map›Paper›PMID 35479265›Full record

ArticleFrontiers in cardiovascular medicine2022

A Novel Electrocardiography Model for the Diagnosis of Acute Pulmonary Embolism.

Xiao-Feng Su, Na Fan, Xue-Mei Yang, Jun-Mei Song, Qiong-Hui Peng, Xin Liu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. TRIAGE Scoring System: Advancing ECG-Based Early Detection of Acute Pulmonary Embolism.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    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 3 institutions in 1 country.

Xiao-Feng SuUltrasound in Cardiac Electrophysiology and Biomechanics Key Laboratory of Sichuan Province, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Na FanDepartment of Echocardiography and Non-Invasive Cardiology Laboratory, Chinese Academy of Sciences Sichuan Translational Medicine Research Hospital, Chengdu, China.
Xue-Mei YangSichuan Provincial People's Hospital, Chengdu, China.
Jun-Mei SongSichuan Provincial People's Hospital, Chengdu, China.
Qiong-Hui PengSichuan Provincial People's Hospital, Chengdu, China.
Xin LiuSichuan Provincial People's Hospital, Chengdu, China.
Sichuan Provincial Hospital of Traditional Chinese Medicine · CNChinese Academy of Sciences · CNUniversity of Electronic Science and Technology of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute pulmonary embolism (acPE) is a severe disease that is often misdiagnosed as it is difficult to detect quickly and accurately. In this study, a novel electrocardiogram (ECG) model was used to estimate the probability of acPE rapidly

Indexed as

acute pulmonary embolism (APE)clinical prediction modelelectrocardiographySPPH-ECG modeltest accuracy

Identifiers

PMID35479265
PMCPMC9035687
OpenAlexW4223621627

What OpenQuestion holds

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LicenceCC BY
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.